Make evaluation part of your program; don’t tack it on at the end!
Norland, E. (2004, Sept). From education theory.. to conservation practice Presented at the Annual Meeting of the International Association for Fish & Wildlife Agencies, Atlantic City, New Jersey.
Pancer, s. M., and Westhues, A. (1989) "A developmental stage approach to program planning and evaluation." Evaluation Review (13): 56-77.
Rossi R H., Lipsey, M. W., & Freeman. H. E. (2004). Evaluation: a systematic approach Thousand Oaks. Call.: Sage Publications.
For additional information on the differences between outcomes and impacts, including lists of potential EE outcomes and impacts, see MEERA's Outcomes and Impacts page.
A well-planned and carefully executed evaluation will reap more benefits for all stakeholders than an evaluation that is thrown together hastily and retrospectively. Though you may feel that you lack the time, resources, and expertise to carry out an evaluation, learning about evaluation early-on and planning carefully will help you navigate the process.
MEERA provides suggestions for all phases of an evaluation. But before you start, it will help to review the following characteristics of a good evaluation (list adapted from resource formerly available through the University of Sussex, Teaching and Learning Development Unit Evaluation Guidelines and John W. Evans' Short Course on Evaluation Basics):
Your evaluation should be crafted to address the specific goals and objectives of your EE program. However, it is likely that other environmental educators have created and field-tested similar evaluation designs and instruments. Rather than starting from scratch, looking at what others have done can help you conduct a better evaluation. See MEERA’s searchable database of EE evaluations to get started.
It ensures that diverse viewpoints are taken into account and that results are as complete and unbiased as possible. Input should be sought from all of those involved and affected by the evaluation such as students, parents, teachers, program staff, or community members. One way to ensure your evaluation is inclusive is by following the practice of participatory evaluation.
Evaluation results are likely to suggest that your program has strengths as well as limitations. Your evaluation should not be a simple declaration of program success or failure. Evidence that your EE program is not achieving all of its ambitious objectives can be hard to swallow, but it can also help you learn where to best put your limited resources.
A good evaluation is one that is likely to be replicable, meaning that someone else should be able to conduct the same evaluation and get the same results. The higher the quality of your evaluation design, its data collection methods and its data analysis, the more accurate its conclusions and the more confident others will be in its findings.
Consider doing a “best practices” review of your program before proceeding with your evaluation.
Making evaluation an integral part of your program means evaluation is a part of everything you do. You design your program with evaluation in mind, collect data on an on-going basis, and use these data to continuously improve your program.
Developing and implementing such an evaluation system has many benefits including helping you to:
To build and support an evaluation system:
As you set goals, objectives, and a desired vision of the future for your program, identify ways to measure these goals and objectives and how you might collect, analyze, and use this information. This process will help ensure that your objectives are measurable and that you are collecting information that you will use. Strategic planning is also a good time to create a list of questions you would like your evaluation to answer.
(See Step 2) to make sure you are on track. Update these documents on a regular basis, adding new strategies, changing unsuccessful strategies, revising relationships in the model, and adding unforeseen impacts of an activity (EMI, 2004).
by rewarding participation in evaluation, offering evaluation capacity building opportunities, providing funding for evaluation, communicating a convincing and unified purpose for evaluation, and celebrating evaluation successes.
The following resource provides more depth on integrating evaluation into program planning:
Best Practices Guide to Program Evaluation for Aquatic Educators (.pdf) Beginner Intermediate Recreational Boating and Fishing Foundation. (2006).
Chapter 2 of this guide, “Create a climate for evaluation,” gives advice on how to fully institutionalize evaluation into your organization. It describes features of an organizational culture, and explains how to build teamwork, administrative support and leadership for evaluation. It discusses the importance of developing organizational capacity for evaluation, linking evaluation to organizational planning and performance reviews, and unexpected benefits of evaluation to organizational culture.
If you want to learn more about how to institutionalize evaluation, check out the following resources on adaptive management. Adaptive management is an approach to conservation management that is based on learning from systematic, on-going monitoring and evaluation, and involves adapting and improving programs based on the findings from monitoring and evaluation.
EMI (Ecosystem Management Initiative). (2004). Measuring Progress: An Evaluation Guide for Ecosystem and Community-Based Projects. School of Natural Resources and Environment, University of Michigan. Downloaded September 20, 2006 from: www.snre.umich.edu/ecomgt/evaluation/templates.htm
Patton, M.Q. (1987). Qualitative Research Evaluation Methods. Thousand Oaks, CA: Sage Publishers.
Thomson, G. & Hoffman, J. (2003). Measuring the success of EE programs. Canadian Parks and Wilderness Society.
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This report was originally published 26 May 2016.
All education programs are well-intentioned and many of them are highly effective. However, there are usually more ways than one to achieve good educational outcomes for students. When faced with this scenario, how do educators and education policymakers decide which alternative is likely to provide most ‘bang for buck’?
There’s also an uncomfortable truth that educators and policymakers need to grapple with: some programs are not effective and some may even be harmful. What is the best way to identify these programs so that they can be remediated or stopped altogether?
Program evaluation is a tool to inform these decisions. More formally, program evaluation is a systematic and objective process to make judgements about the merit or worth of our actions, usually in relation to their effectiveness, efficiency and appropriateness (NSW Government 2016).
Evaluation and self-assessment is at the heart of strong education systems and evaluative thinking is a core competency of effective educational leadership. Teachers, school leaders and people in policy roles should all apply the principles of evaluation to their daily work.
Research shows that:
This Learning Curve sets out five conditions for effective evaluation in education. These are not the only considerations and they are not unique to education. However, if these parameters are missing, evaluation will not be possible or it will be ineffective.
The five prerequisites for effective evaluation in education are:
Business Unit:
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Once you have an idea of the types of sources you need for your research, you can spend time evaluating individual sources. If a bibliographic citation seems promising, it’s a good idea to spend a bit more time with the source before you determine its credibility. Below are some questions to ask and things to consider as you read through a source.
One of the first steps in evaluating a source is to locate more information about the author. Sometimes simply typing an author’s name into a search engine will give you an initial springboard for information. Finding the author’s educational background and areas of expertise will help determine whether the author has experience in what they’re writing about. You should also examine whether the author has other publications and if they are with well-known publishers or organizations.
Begin by reading the Introduction or the Preface—What does the author want to accomplish? Browse through the Table of Contents and the Index. This will give you an overview of the source. Is your topic covered in enough depth to be helpful? If you don't find your topic discussed, try searching for some synonyms in the Index.
If your source does not contain any of these elements, consider reading the first few paragraphs of the source and determining whether it includes enough information on your topic for it to be relevant.
Consider the tone, style, vocabulary, level of information, and assumptions the author makes about the reader. Are they appropriate for your needs? Remember that scholarly sources often have a very particular audience in mind, and popular sources are written for a more general audience. However, some scholarly sources may be too dense for your particular research needs, so you may need to turn to sources with a more general audience in mind.
Information can usually be divided into three categories: fact, opinion, and propaganda. Facts are objective, while opinions and propaganda are subjective. A fact is something that is known to be true. An opinion gives the thoughts of a particular individual or group. Propaganda is the (usually biased) spreading of information for a specific person, group, event, or cause. Propaganda often relies on slogans or emotionally-charged images to influence an audience. It can also involve the selective reporting of true information in order to deceive an audience.
The last example above uses facts in a bad-faith way to take advantage of the audience's fear. Even if the individual claim is true, the way it is presented helps the author tell a much larger lie. In this case, the lie is that there is a link between the websites students visit for writing help and their later susceptibility to criminal lifstyles. Of course, there is no such link. Thus, when examining sources for possible propaganda, be aware that sometimes groups may deploy pieces of true information in deceptive ways.
Note also that the difference between an opinion and propaganda is that propaganda usually has a specific agenda attached—that is, the information in the propaganda is being spread for a certain reason or to accomplish a certain goal. If the source appears to represent an opinion, does the author offer legitimate reasons for adopting that stance? If the opinion feels one-sided, does the author acknowledge opposing viewpoints? An opinion-based source is not necessarily unreliable, but it’s important to know whether the author recognizes that their opinion is not the only opinion.
Is the language objective or emotional? Objective language sticks to the facts, but emotional language relies on garnering an emotional response from the reader. Objective language is more commonly found in fact-based sources, while emotional language is more likely to be found in opinion-based sources and propaganda.
If you’re just starting your research, you might look for sources that include more general information. However, the deeper you get into your topic, the more comprehensive your research will need to be.
If you’re reading an opinion-based source, ask yourself whether there’s enough evidence to back up the opinions. If you’re reading a fact-based source, be sure that it doesn’t oversimplify the topic.
The more familiar you become with your topic, the easier it will be for you to evaluate the evidence in your sources.
When you verify the information in one source with information you find in another source, this is called cross-referencing or cross-checking. If the author lists specific dates or facts, can you find that same information somewhere else? Having information listed in more than one place increases its credibility.
How timely is the source? Is the source twenty years out of date? Some information becomes dated when new research is available, but other older sources of information can still be useful and reliable fifty or a hundred years later. For example, if you are researching a scientific topic, you will want to be sure you have the most up-to-date information. However, if you are examining an historical event, you may want to find primary documents from the time of the event, thus requiring older sources.
Check for a list of references or other citations that look as if they will lead you to related material that would be good sources. If a source has a list of references, it often means that the source is well-researched and thorough.
As you continue to encounter more sources, evaluating them for credibility will become easier.
While most of us realize that we can’t trust all the information we see or read, we don’t always spend a lot of time considering how we actually make decisions about what to trust. Whether we’re watching the news, reading a friend’s blog, researching a health condition, or using information in some other way, we generally draw on our own values and life experiences to make relatively quick judgments about the validity of the information we are exposed to or seek out. Sometimes we don’t even consider the fact that we made a judgment about what to trust in the first place. We’re simply on autopilot.
Although the amount of deep thinking we need to put into evaluating the validity of an information source can vary depending on the significance of the situation, we ultimately make better decisions and construct more convincing arguments when we have a strong understanding of the quality of the information we’re using (or not using). This is especially true in an academic context, where our ability to create knowledge and meaning depends on our ability to analyze and interpret information with precision.
To evaluate information, then, is to analyze information from a critical perspective. The evaluative process requires us to step back and carefully consider the sources we use and how we use them, to not rush to judgment but to think through the content of the articles we’re reading or the online search results we’re browsing. We also need to consider the relationships among different sources and how they work together to form “conversations” around certain topics or issues. A “conversation” in this sense refers to the diverse perspectives and arguments surrounding a particular research question (or set of questions).
The questions in this guide can help you think through the evaluation of information sources. Keep in mind that evaluation is not simply about determining whether a source is “reliable” or “not reliable.” It’s rarely that easy or straightforward. Instead, it’s more useful to consider the degree to which a source is reliable for a given purpose. The primary goal of evaluation is to understand the significance and value of a source in relation to other sources and your own thinking on a topic.
Note that some evaluative questions will be more important than others depending on your needs as a researcher. Figuring out which questions are important to ask in a given situation is part of the research process. Also note that your evaluation of a source may evolve over time. For instance, a source that seems very useful early on may prove less useful as your project develops. Likewise, a source that seems insignificant at the beginning of a project may turn out to be your most significant source later in the research process.
From: http://louisville.libguides.com/evaluation
This evaluation process is really no different than the process people use everyday as they acquire all types of information from a neighbor, a friend, a newspaper, a television broadcast, or a bulletin board flyer.
All of this happens so automatically, you don't even realize you're doing it. While you should evaluate all of information sources (books, periodical articles, etc.) before using them in your research, it is most vital that you evaluate the information you find on the Internet. Every book and article published (even those available in Internet-based databases) goes through some sort of evaluation process, but Web pages go through no such pre-publication evaluation.
The number of resources available via the Internet is immense. Companies, organizations, educational institutions, communities and individual people all serve as information providers for the Internet community. Savvy members of the Internet community are aware that there are few, if any, quality controls for the information that is made available. Accurate and reliable data may share the computer screen with data that is inaccurate, unreliable, or even purposely false. In addition, the differences between the two types of data may be imperceptible, especially for someone who is not an expert in the topic area. Because the Internet is not the responsibility of any one organization or institution, it seems unlikely that any universal quality control will be established in the near future. In view of this, members of the Internet community must prepare themselves to be critically skilled consumers of the information they find.
Types of hoaxes with examples - http://virtualchase.justia.com/hoaxes-and-other-bad-information
Listing of Types of Fallacies - http://www.nizkor.org/features/fallacies/
Propaganda - http://guides.library.jhu.edu/content.php?pid=198142&sid=1657614
Characteristics of Critical Thinkers: http://www.mhhe.com/socscience/philosophy/reichenbach/m1_chap02studyguide.html
A Source: http://www.criticalthinking.org/pages/defining-critical-thinking/766
Which states:
The Problem Everyone thinks; it is our nature to do so. But much of our thinking, left to itself, is biased, distorted, partial, uninformed or down-right prejudiced. Yet the quality of our life and that of what we produce, make, or build depends precisely on the quality of our thought. Shoddy thinking is costly, both in money and in quality of life. Excellence in thought, however, must be systematically cultivated.
A Definition Critical thinking is that mode of thinking - about any subject, content, or problem - in which the thinker improves the quality of his or her thinking by skillfully taking charge of the structures inherent in thinking and imposing intellectual standards upon them.
The Result A well cultivated critical thinker:
Critical thinking is, in short, self-directed, self-disciplined, self-monitored, and self-corrective thinking. It presupposes assent to rigorous standards of excellence and mindful command of their use. It entails effective communication and problem solving abilities and a commitment to overcome our native egocentrism and sociocentrism.
Critical Thinking and introduction to the basic skills by William Hughes 1992 Broadview Press Ltd. Lewiston, NY Isbn 1-921149-73-2 The primary focus of critical thinking skills is on determining whether arguments are sound, i.e. whether they have true premises and logical strength.But determining the soundness of arguments is not a simple matter, for three reasons.First, before we can assess an argument we must determine its precise meaning. Second, determining the truth or falsity of statements is often a difficult task. Third, assessing argument is complex because there are several different types of inferences and each type requires a different kind of assessment. There three types of skills—
interpretive skills, verification skills, and reason skills—constitutes what are usually referred to as critical thinking skills. … mastering critical thinking skills is also a matter of intellectual self-respect. We all have the capacity to learn how to distinguish good arguments from bad ones and to work out for ourselves what we ought and ought not to believe, and it diminishes us as persons if we let others do our thinking for us. If we are not prepared to think for ourselves, and to make the effort to learn how do this well, we will always remain slaves to the ideas and values of others and to our own ignorance. P. 11 Argumentation and Debate Critical thinking for reasoned decision Making Austin J. Freeley and David L. Steinberg 10th edition 2000 Wadsworth/Thomson Learning Belmont, CA Isbn 0-534-46115-2
Critical thinking: the ability to analyze, criticize, and advocate ideas; to reason inductively and deductively; and to reach factual or judgmental conclusions based on sound inferences drawn from unambiguous statements of knowledge or belief. P. 458 Author: Theresa Rienzo, Reference Librarian,James Edward Tobin Library, Molloy College 1000 Hempstead Ave. Rockville Centre, NY 11571
Copied from: http://molloy.libguides.com/criticalthinking
A critical thinking model with elements: http://www.criticalthinking.org/ctmodel/logic-model1.htm
From: http://www.edpsycinteractive.org/topics/cogsys/critthnk.html
Media literacy.
Need help evaluating your sources? Contact a Subject Librarian. The subject librarians can help you with finding and evaluating research and sources. You can contact them by phone, email, or in-person.
If you select "no," please send me an email so I can improve this guide.
" Information Literacy in a Nutshell " created by David L. Rice Library on YouTube . Accessed 2016.
Information literacy is a set of abilities requiring individuals to "recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information." 1 Information literacy also is increasingly important in the contemporary environment of rapid technological change and proliferating information resources. Because of the escalating complexity of this environment, individuals are faced with diverse, abundant information choices--in their academic studies, in the workplace, and in their personal lives. Information is available through libraries, community resources, special interest organizations, media, and the Internet--and increasingly, information comes to individuals in unfiltered formats, raising questions about its authenticity, validity, and reliability. In addition, information is available through multiple media, including graphical, aural, and textual, and these pose new challenges for individuals in evaluating and understanding it. The uncertain quality and expanding quantity of information pose large challenges for society. The sheer abundance of information will not in itself create a more informed citizenry without a complementary cluster of abilities necessary to use information effectively.
Information literacy is a set of abilities requiring individuals to "recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information." Information Literacy Competency Standards for Higher Education . American Library Association. 2006. (Accessed June 4, 2013). Library instruction sessions, LibGuides and the Research 101 course are based on these standards. Information literacy skills are essential in today's world. Student development of information literacy is a process that spans the entire college experience.
Information literacy is knowing when and why you need information, where to find it, and how to evaluate, use and communicate it in an ethical manner. http://www.cilip.org.uk/cilip/advocacy-campaigns-awards/advocacy-campaigns/information-literacy/information-literacy Information literacy is the ability to recognize the extent and nature of an information need, then to locate, evaluate, and effectively use the needed information. (Plattsburgh State Information and Computer Literacy Task Force, 2001) http://www.plattsburgh.edu/library/instruction/informationliteracydefinition.php Information literacy forms the basis for lifelong learning. It is common to all disciplines, to all learning environments, and to all levels of education. It enables learners to master content and extend their investigations, become more self-directed, and assume greater control over their own learning. An information literate individual is able to:
Understand the economic, legal, and social issues surrounding the use of information, and access and use information ethically and legally http://libguides.unitec.ac.nz/infolitstaff (from Unitec Institute of Technology in New Zealand)
Through IL instruction, students learn to:
Information Literacy Defined http://www.ala.org/acrl/standards/informationliteracycompetency Information literacy is a set of abilities requiring individuals to "recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information." 1 Information literacy also is increasingly important in the contemporary environment of rapid technological change and proliferating information resources. Because of the escalating complexity of this environment, individuals are faced with diverse, abundant information choices--in their academic studies, in the workplace, and in their personal lives. Information is available through libraries, community resources, special interest organizations, media, and the Internet--and increasingly, information comes to individuals in unfiltered formats, raising questions about its authenticity, validity, and reliability. In addition, information is available through multiple media, including graphical, aural, and textual, and these pose new challenges for individuals in evaluating and understanding it. The uncertain quality and expanding quantity of information pose large challenges for society. The sheer abundance of information will not in itself create a more informed citizenry without a complementary cluster of abilities necessary to use information effectively. Information literacy forms the basis for lifelong learning. It is common to all disciplines, to all learning environments, and to all levels of education. It enables learners to master content and extend their investigations, become more self-directed, and assume greater control over their own learning. An information literate individual is able to:
At Unitec all our information literacy classes are based on the Australian and New Zealand Institute for Information Literacy (ANZIIL) standards . Students learn to:
Copyright © University of North Texas. Some rights reserved. Except where otherwise indicated, the content of this library guide is made available under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license . Suggested citation for citing this guide when adapting it:
This work is a derivative of "Media Literacy" , created by [author name if apparent] and © University of North Texas, used under CC BY-NC 4.0 International .
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This article provides an overview and comparison of the different types of evaluation methodologies used to assess the performance, effectiveness, quality, or impact of services, programs, and policies. There are several methodologies both qualitative and quantitative, including surveys, interviews, observations, case studies, focus groups, and more…In this essay, we will discuss the most commonly used qualitative and quantitative evaluation methodologies in the M&E field.
Table of Contents
Evaluation methodologies are the methods and techniques used to measure the performance, effectiveness, quality, or impact of various interventions, services, programs, and policies. Evaluation is essential for decision-making, improvement, and innovation, as it helps stakeholders identify strengths, weaknesses, opportunities, and threats and make informed decisions to improve the effectiveness and efficiency of their operations.
Evaluation methodologies can be used in various fields and industries, such as healthcare, education, business, social services, and public policy. The choice of evaluation methodology depends on the specific goals of the evaluation, the type and level of data required, and the resources available for conducting the evaluation.
The importance of evaluation methodologies lies in their ability to provide evidence-based insights into the performance and impact of the subject being evaluated. This information can be used to guide decision-making, policy development, program improvement, and innovation. By using evaluation methodologies, stakeholders can assess the effectiveness of their operations and make data-driven decisions to improve their outcomes.
Overall, understanding evaluation methodologies is crucial for individuals and organizations seeking to enhance their performance, effectiveness, and impact. By selecting the appropriate evaluation methodology and conducting a thorough evaluation, stakeholders can gain valuable insights and make informed decisions to improve their operations and achieve their goals.
Evaluation methodologies can be categorized into two main types based on the type of data they collect: qualitative and quantitative. Qualitative methodologies collect non-numerical data, such as words, images, or observations, while quantitative methodologies collect numerical data that can be analyzed statistically. Here is an overview and comparison of the main differences between qualitative and quantitative evaluation methodologies:
Qualitative Evaluation Methodologies:
Quantitative Evaluation Methodologies:
Choosing between qualitative and quantitative evaluation methodologies depends on the specific goals of the evaluation, the type and level of data required, and the resources available for conducting the evaluation. Some evaluations may use a mixed-methods approach that combines both qualitative and quantitative data collection and analysis techniques to provide a more comprehensive understanding of the subject being evaluated.
Program evaluation methodologies encompass a diverse set of approaches and techniques used to assess the effectiveness, efficiency, and impact of programs and interventions. These methodologies provide systematic frameworks for collecting, analyzing, and interpreting data to determine the extent to which program objectives are being met and to identify areas for improvement. Common program evaluation methodologies include quantitative methods such as experimental designs, quasi-experimental designs, and surveys, as well as qualitative approaches like interviews, focus groups, and case studies.
Each methodology offers unique advantages and limitations depending on the nature of the program being evaluated, the available resources, and the research questions at hand. By employing rigorous program evaluation methodologies, organizations can make informed decisions, enhance program effectiveness, and maximize the use of resources to achieve desired outcomes.
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Qualitative methodologies are increasingly being used in monitoring and evaluation (M&E) to provide a more comprehensive understanding of the impact and effectiveness of programs and interventions. Qualitative methodologies can help to explore the underlying reasons and contexts that contribute to program outcomes and identify areas for improvement. Here are some common qualitative methodologies used in M&E:
Interviews involve one-on-one or group discussions with stakeholders to collect data on their experiences, perspectives, and perceptions. Interviews can provide rich and detailed data on the effectiveness of a program, the factors that contribute to its success or failure, and the ways in which it can be improved.
Observations involve the systematic and objective recording of behaviors and interactions of stakeholders in a natural setting. Observations can help to identify patterns of behavior, the effectiveness of program interventions, and the ways in which they can be improved.
Document review involves the analysis of program documents, such as reports, policies, and procedures, to understand the program context, design, and implementation. Document review can help to identify gaps in program design or implementation and suggest ways in which they can be improved.
PRA is a participatory approach that involves working with communities to identify and analyze their own problems and challenges. It involves using participatory techniques such as mapping, focus group discussions, and transect walks to collect data on community perspectives, experiences, and priorities. PRA can help ensure that the evaluation is community-driven and culturally appropriate, and can provide valuable insights into the social and cultural factors that influence program outcomes.
Key informant interviews are in-depth, open-ended interviews with individuals who have expert knowledge or experience related to the program or issue being evaluated. Key informants can include program staff, community leaders, or other stakeholders. These interviews can provide valuable insights into program implementation and effectiveness, and can help identify areas for improvement.
Ethnography is a qualitative method that involves observing and immersing oneself in a community or culture to understand their perspectives, values, and behaviors. Ethnographic methods can include participant observation, interviews, and document analysis, among others. Ethnography can provide a more holistic understanding of program outcomes and impacts, as well as the broader social context in which the program operates.
Focus group discussions involve bringing together a small group of individuals to discuss a specific topic or issue related to the program. Focus group discussions can be used to gather qualitative data on program implementation, participant experiences, and program outcomes. They can also provide insights into the diversity of perspectives within a community or stakeholder group .
Photovoice is a qualitative method that involves using photography as a tool for community empowerment and self-expression. Participants are given cameras and asked to take photos that represent their experiences or perspectives on a program or issue. These photos can then be used to facilitate group discussions and generate qualitative data on program outcomes and impacts.
Case studies involve gathering detailed qualitative data through interviews, document analysis, and observation, and can provide a more in-depth understanding of a specific program component. They can be used to explore the experiences and perspectives of program participants or stakeholders and can provide insights into program outcomes and impacts.
Qualitative methodologies in M&E are useful for identifying complex and context-dependent factors that contribute to program outcomes, and for exploring stakeholder perspectives and experiences. Qualitative methodologies can provide valuable insights into the ways in which programs can be improved and can complement quantitative methodologies in providing a comprehensive understanding of program impact and effectiveness
Quantitative methodologies are commonly used in monitoring and evaluation (M&E) to measure program outcomes and impact in a systematic and objective manner. Quantitative methodologies involve collecting numerical data that can be analyzed statistically to provide insights into program effectiveness, efficiency, and impact. Here are some common quantitative methodologies used in M&E:
Surveys involve collecting data from a large number of individuals using standardized questionnaires or surveys. Surveys can provide quantitative data on people’s attitudes, opinions, behaviors, and experiences, and can help to measure program outcomes and impact.
Baseline and endline surveys are quantitative surveys conducted at the beginning and end of a program to measure changes in knowledge, attitudes, behaviors, or other outcomes. These surveys can provide a snapshot of program impact and allow for comparisons between pre- and post-program data.
RCTs are a rigorous quantitative evaluation method that involve randomly assigning participants to a treatment group (receiving the program) and a control group (not receiving the program), and comparing outcomes between the two groups. RCTs are often used to assess the impact of a program.
Cost-benefit analysis is a quantitative method used to assess the economic efficiency of a program or intervention. It involves comparing the costs of the program with the benefits or outcomes generated, and can help determine whether a program is cost-effective or not.
Performance indicator s are quantitative measures used to track progress toward program goals and objectives. These indicators can be used to assess program effectiveness, efficiency, and impact, and can provide regular feedback on program performance.
Statistical analysis involves using quantitative data and statistical method s to analyze data gathered from various evaluation methods, such as surveys or observations. Statistical analysis can provide a more rigorous assessment of program outcomes and impacts and help identify patterns or relationships between variables.
Experimental designs involve manipulating one or more variables and measuring the effects of the manipulation on the outcome of interest. Experimental designs are useful for establishing cause-and-effect relationships between variables, and can help to measure the effectiveness of program interventions.
Quantitative methodologies in M&E are useful for providing objective and measurable data on program outcomes and impact, and for identifying patterns and trends in program performance. Quantitative methodologies can provide valuable insights into the effectiveness, efficiency, and impact of programs, and can complement qualitative methodologies in providing a comprehensive understanding of program performance.
Monitoring and Evaluation (M&E) methods encompass the tools, techniques, and processes used to assess the performance of projects, programs, or policies.
These methods are essential in determining whether the objectives are being met, understanding the impact of interventions, and guiding decision-making for future improvements. M&E methods fall into two broad categories: qualitative and quantitative, often used in combination for a comprehensive evaluation.
Choosing the right evaluation methodology is essential for conducting an effective and meaningful evaluation. Here are some factors and criteria to consider when selecting an appropriate evaluation methodology:
Overall, choosing the right evaluation methodology depends on a variety of factors and criteria, including the evaluation goals and objectives, the type of data required, the resources available, the accessibility of the subject being evaluated, and ethical considerations. Selecting an appropriate methodology can ensure that the evaluation is effective, meaningful, and provides valuable insights into program performance and impact.
It’s worth noting that many evaluation methodologies use a combination of quantitative and qualitative methods to provide a more comprehensive understanding of program outcomes and impacts. Both qualitative and quantitative methodologies are essential in providing insights into program performance and effectiveness.
Qualitative methodologies focus on gathering data on the experiences, perspectives, and attitudes of individuals or communities involved in a program, providing a deeper understanding of the social and cultural factors that influence program outcomes. In contrast, quantitative methodologies focus on collecting numerical data on program performance and impact, providing more rigorous evidence of program effectiveness and efficiency.
Each methodology has its strengths and limitations, and a combination of both qualitative and quantitative approaches is often the most effective in providing a comprehensive understanding of program outcomes and impact. When designing an M&E plan, it is crucial to consider the program’s objectives, context, and stakeholders to select the most appropriate methodologies.
Overall, effective M&E practices require a systematic and continuous approach to data collection, analysis, and reporting. With the right combination of qualitative and quantitative methodologies, M&E can provide valuable insights into program performance, progress, and impact, enabling informed decision-making and resource allocation, ultimately leading to more successful and impactful programs.
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It is always important to consider whether the authors of what you are reading are properly qualified and present convincing arguments. Because your time for careful reading is limited, try to skim through your sources first to decide whether they are truly helpful. Once you have chosen your best sources, read the most relevant ones first, leaving the more tangential material aside to use as background information.
Learning to identify scholarly (often known as "peer-reviewed") and non-scholarly sources of information is an important skill to cultivate. Many databases provide help with making this distinction.
Additionally, Ulrich's Directory of Publications is a database that can be searched to check to check the publication type (scholarly, refereed, magazine, etc).
If you are using the internet for research, it is especially important to evaluate the accuracy and authority of the information you find there.
REMEMBER: If you are using the internet for research, it is especially important to evaluate the accuracy and authority of the information you find there. Search engines, like Google, find web sites of all levels of quality. Keep these things in mind when deciding if a web page is reliable and appropriate for your research:
Always check with your instructor to find out if you can use free (non-Library) web sites for your assignments. And if looking for journal articles, library databases are the most efficient tool for searching.
The information available on websites is not always accurate or reliable because anyone can publish almost anything they wish online. In order to use websites for academic and research purposes, they must be approached critically. Below are questions grouped by category that will help when critiquing the credibility of an online resource.
Knowing the motive behind the page's creation can help you judge its content.
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Introduction: Information literacy is an essential skill set that empowers individuals to navigate the vast and ever-expanding realm of information with confidence and discernment. In an age where information is readily accessible through various platforms and sources, the ability to locate, evaluate, and effectively use information has become paramount. Information literacy goes beyond mere information retrieval; it encompasses the critical thinking, analytical, and technological skills needed to assess information’s credibility, relevance, and reliability effectively. By honing these abilities, individuals can make informed decisions, participate actively in society, and become lifelong learners in a world increasingly driven by information and knowledge.
Information literacy is a critical skill set in the digital age, encompassing the ability to access, evaluate, analyze, and ethically use information from diverse sources. It goes beyond basic information retrieval and involves a multifaceted understanding of information, including its context, credibility, and relevance. Information literacy is not confined to traditional libraries but extends to various digital platforms, where an overwhelming volume of information is available. A literate individual is adept at navigating this information landscape, distinguishing between reliable and unreliable sources, and critically assessing the quality and credibility of information. The information literate person is not just a consumer but an active participant in creating and disseminating knowledge, understanding the ethical considerations of information use, and contributing meaningfully to the broader intellectual discourse. Information literacy is a dynamic skill that evolves with technological advancements, requiring individuals to adapt to new information formats, platforms, and communication channels. Educational institutions and libraries are pivotal in fostering information literacy, equipping learners with the skills to thrive in an information-rich society.
Information literacy is the ability to locate, evaluate, interpret, and effectively use information from various sources and in diverse formats. It encompasses the skills, knowledge, and attitudes required to navigate the complex information landscape of today’s world. It involves the capacity to find relevant information using appropriate search strategies and tools, critically evaluate the quality and reliability of information sources, interpret and analyze information to derive meaningful insights, and ethically and responsibly use and communicate information. Information literacy empowers individuals to make informed decisions, engage in lifelong learning, and actively participate in society by effectively harnessing the information available.
Paul Zurkowski first defined information literacy in (1974) as ‘people trained in the application of information sources to their work can be called literates.’ The UNESCO-sponsored Meeting of Experts on Information Literacy in Prague defines that,
“Information literacy” encompasses knowledge of one’s information concerns and needs and the ability to identify, locate, evaluate, organize, and effectively create, use, and communicate information to address issues or problems at hand; it is a prerequisite for participating effectively in the information society, and is part of the basic human right of lifelong learning (US National Commission on Library and Information Science, 2003).
While Sheila Webber, who was instrumental in developing the Council for Information Literacy Implementation Program (UK) (CILIP) definition, had also developed an earlier definition:
According to Webber, “information literacy” is the adoption of appropriate information behavior to obtain, through whatever channel or medium, information one’s to information needs, together with a critical awareness of the importance of wise and ethical use of information in society (Webber & Johnston, 2008). Information literacy is knowing when and why you need information, where to find it, and how to evaluate, use, and communicate it ethically.
In conclusion, information literacy is a beacon of empowerment in the modern era, guiding individuals through the intricate information landscape with skill, discernment, and adaptability. Beyond the ability to locate and access information, it embodies a comprehensive set of skills that enables critical thinking, ethical use of data, and effective problem-solving. In a world inundated with information, cultivating information literacy is paramount. It equips individuals with the tools to navigate diverse sources, discern credibility, and engage with information in a way that transcends academic settings, influencing professional, personal, and civic dimensions of life. As the digital society continues to evolve, information literacy emerges as a cornerstone for informed decision-making, lifelong learning, and active participation in a globalized community. Libraries, educational institutions, and information professionals play pivotal roles in fostering information literacy, ensuring that individuals are not merely consumers of information but empowered navigators of the dynamic and interconnected information landscape. In embracing information literacy, individuals are poised to navigate the complexities of the information age with confidence, contributing to a society where knowledge is not just accessed but critically and responsibly utilized for the greater good.
Information literacy objectives encapsulate a comprehensive set of goals aimed at equipping individuals with the essential skills and competencies necessary to navigate the information-rich landscape of the digital age. Information literacy empowers individuals to access, evaluate, and utilize information effectively, fostering critical thinking, independent learning, and informed decision-making. The multifaceted nature of these objectives includes the ability to discern credible sources, understand diverse media formats, and navigate complex information systems. Furthermore, information literacy aims to cultivate ethical information use, encouraging individuals to respect intellectual property, evaluate sources’ reliability, and responsibly contribute to the information ecosystem. These objectives extend beyond academic settings, influencing professional, personal, and civic realms positioning information literacy as a fundamental life skill in today’s interconnected society. Educational institutions, libraries, and information professionals play pivotal roles in advancing these objectives, ensuring that individuals are proficient consumers of information and active contributors to a knowledge-based global community. As technology continues to evolve, the objectives of information literacy adapt to meet the challenges of an ever-changing information landscape, emphasizing the importance of ongoing learning and adaptability in the face of an increasingly complex and interconnected world.
The objectives of information literacy can be summarized as follows:
The objectives of information literacy paint a comprehensive picture of a skill set that is crucial for navigating the complexities of the information age. By achieving these objectives, individuals become adept consumers of information and active contributors to a global knowledge society. Educational institutions, libraries, and information professionals play pivotal roles in advancing these objectives, ensuring that information literacy remains a cornerstone skill in an interconnected and information-abundant world. In embracing these objectives, individuals can navigate the knowledge seas with confidence, discernment, and a commitment to ethical and responsible information use.
Information literacy encompasses various special aspects that enhance individuals’ ability to effectively navigate and engage with information in today’s digital age. These special aspects include tool literacy, resource literacy, social-structural literacy, research literacy, publishing literacy, emerging technology literacy, and critical literacy. Tool literacy focuses on mastering the tools and technologies used to access and organize information. Resource literacy involves understanding and utilizing different types of information resources. Social-structural literacy acknowledges the influence of societal factors on information. Research literacy emphasizes the skills required to conduct effective research. Publishing literacy involves understanding the processes of creating and disseminating information. Emerging technology literacy addresses the adaptation to new technologies. Critical literacy develops the ability to analyze and evaluate information critically. These special aspects of information literacy empower individuals to navigate the vast information landscape, critically evaluate sources, and make informed decisions in an increasingly complex and interconnected world.
These aspects include:
By addressing these special aspects of information literacy, individuals are better equipped to navigate the complexities of the information landscape, critically engage with information sources, and make informed decisions in an increasingly digital and information-rich society.
An information-literate individual possesses the skills, knowledge, and attitudes necessary to effectively navigate, evaluate, and utilize information in various contexts. They have developed the abilities to identify information needs, access information from diverse sources, critically evaluate the credibility and relevance of information, analyze and synthesize information to derive meaningful insights, and ethically and responsibly use and communicate information. Information-literate individuals can utilize various tools and technologies to search, retrieve, organize, and present information. They are critical thinkers who can discern reliable sources from misinformation and disinformation, and they actively evaluate and question the information they encounter. Information-literate individuals are lifelong learners, continuously seeking new knowledge and adapting to evolving information landscapes. They are empowered to make informed decisions, solve problems, and participate in a knowledge-driven society.
Information literacy equips individuals with various abilities to navigate, evaluate, and utilize information effectively. The abilities of information-literate individuals include:
By developing these abilities, information-literate individuals are equipped to navigate the complexities of the information landscape, make informed decisions, solve problems, and actively participate in a knowledge-driven society. These abilities empower individuals to be critical thinkers, lifelong learners, and responsible users and creators of information.
The need for information literacy arises from the digital age’s ever-expanding and rapidly changing information landscape. In today’s society, where information is readily accessible through various sources and platforms, information literacy has become essential for individuals to navigate, evaluate, and effectively use the wealth of information available. Here are several key reasons highlighting the need for information literacy:
The need for information literacy arises from the abundance of information, the prevalence of misinformation, the necessity for informed decision-making, the importance of democratic participation, the demand for lifelong learning, and the ethical considerations associated with information use. By developing information literacy skills, individuals are better equipped to navigate the information landscape, critically evaluate sources, make informed decisions, and actively engage in society.
The medium of information _ literacy encompasses various literacies essential for effectively navigating and utilizing information in different formats and contexts. Here are some key mediums of information _ literacy:
These mediums of information literacy encompass a range of skills and competencies necessary for individuals to navigate, evaluate, and utilize information effectively in the digital age. Developing proficiency in these literacies enables individuals to adapt to new technologies, critically analyze information across different mediums, and make informed decisions in an increasingly digital and media-rich society.
The impact and role of information _ literacy in higher education are significant as it directly influences students’ ability to succeed academically, conduct research effectively, and become lifelong learners. Here are several key aspects highlighting the impact and role of information _ literacy in higher education:
Information literacy is crucial in higher education by facilitating academic success, research competence, critical thinking, lifelong learning, digital citizenship, professional preparation, and engagement with knowledge and society. By developing information literacy skills, students are better equipped to navigate the complex information landscape, think critically, and become active participants in their academic journeys and beyond.
The impact of information literacy on lifelong learning is profound as it empowers individuals to navigate the vast sea of information, adapt to new technologies, and continue their learning journey beyond formal education. Information _ literacy equips individuals with the skills to locate, evaluate, and effectively utilize information from various sources and formats. This enables them to stay updated on current topics, explore new areas of interest, and deepen their knowledge in their chosen fields. By developing information _ literacy competencies, individuals become self-directed learners, capable of critically analyzing information, synthesizing knowledge, and making informed decisions. Information _ literacy also cultivates a curiosity, inquiry, and intellectual growth mindset, encouraging individuals to continually seek out new information, engage with diverse perspectives, and challenge their existing knowledge. In an ever-changing world where information is constantly evolving, information _ literacy is a vital tool for individuals to become lifelong learners who can adapt, grow, and thrive in their personal and professional lives.
Information literacy is crucial in today’s information-rich society due to several important reasons. Here are some key advantages and implications of information literacy:
a) Saving of time by information skills: Information _ literacy equips individuals with the skills to efficiently locate, evaluate, and use information. By knowing how to search for and evaluate relevant and reliable sources effectively, individuals can save time in their information-seeking endeavors and avoid getting overwhelmed by the vast amount of available information.
b) Effective deployment of information service staff: Information _ literacy enables individuals to become self-sufficient in their information needs, reducing their reliance on information service staff. This allows information professionals to focus on more complex tasks, provide specialized assistance, and contribute their expertise where it is most needed.
c) Best use of information resources: Information _ literacy empowers individuals to effectively navigate and utilize information resources, both physical and digital. By understanding how to access and evaluate a wide range of resources, individuals can make the best use of available information, ensuring that their decisions and actions are well-informed and based on reliable sources.
d) To add value to the profession as a whole: Information _ literacy enhances the value of information professionals and the broader profession. Information professionals with strong information literacy skills are better equipped to meet the evolving needs of their users, provide valuable guidance, and contribute to knowledge creation and dissemination in their respective fields.
e) Effective use of stock: Information _ literacy enables individuals to effectively utilize existing information stocks, such as library collections, databases, and archives. By knowing how to navigate and evaluate these resources, individuals can access relevant information and make connections between different sources, enhancing their understanding and enabling them to generate new insights.
f) Abundant information choices: Information _ literacy allows individuals to take advantage of the abundance of information choices available today. It equips them with the skills to critically evaluate and select the most relevant and reliable information from various sources, ensuring they are exposed to diverse perspectives and can make well-informed decisions.
g) Caution on unfiltered information: Information _ literacy raises awareness about the importance of critically evaluating information sources and questions validity, reliability, and authenticity. In an era of easily accessible information where misinformation and fake news are prevalent, information literacy helps individuals develop a critical mindset and discern reliable and trustworthy sources from unreliable ones.
Information literacy is essential because it enables individuals to save time, effectively use information resources, contribute value to their profession, utilize existing information stocks, access abundant information choices, and exercise caution in evaluating information. By developing information _ literacy skills, individuals can confidently navigate the complex information landscape, make informed decisions, and actively engage in lifelong learning.
The impact of information _ literacy in libraries and information centers is profound, shaping these institutions’ core functions and missions in the digital age. Information literacy is the linchpin that bridges the gap between the vast reservoir of information and the patrons seeking knowledge. In an era marked by information abundance, the ability to navigate, critically evaluate, and effectively use information is essential. Libraries and information centers, traditionally repositories of knowledge, are transformed into dynamic hubs of learning and exploration by integrating information literacy. The impact is evident in how these institutions curate resources, design user-centric services, and empower individuals to become adept information navigators. Information literacy not only enhances patrons’ research and learning capabilities but also reinforces the role of libraries as facilitators of lifelong learning and intellectual engagement.
The impact of information literacy in libraries and information centers is significant and transformative. Information literacy enhances the effectiveness of these institutions in several key ways:
Information literacy profoundly impacts libraries and information centers by empowering users, maximizing resource utilization, supporting research and scholarship, promoting collaborative learning, enhancing digital literacy, fostering critical thinking, and bridging the digital divide. By integrating information literacy initiatives, libraries and information centers can effectively fulfill their mission of providing access to information and supporting lifelong learning in their communities.
Original Reference Article:
The role of libraries in promoting digital literacy, embedding a curriculum-based information literacy program within the university, impact of digital information literacy to prevent misinformation, what is digital information literacy : what is digital literacy, what is community information services, need of information literacy skills.
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Loraine busetto.
1 Department of Neurology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
2 Clinical Cooperation Unit Neuro-Oncology, German Cancer Research Center, Heidelberg, Germany
Associated data.
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This paper aims to provide an overview of the use and assessment of qualitative research methods in the health sciences. Qualitative research can be defined as the study of the nature of phenomena and is especially appropriate for answering questions of why something is (not) observed, assessing complex multi-component interventions, and focussing on intervention improvement. The most common methods of data collection are document study, (non-) participant observations, semi-structured interviews and focus groups. For data analysis, field-notes and audio-recordings are transcribed into protocols and transcripts, and coded using qualitative data management software. Criteria such as checklists, reflexivity, sampling strategies, piloting, co-coding, member-checking and stakeholder involvement can be used to enhance and assess the quality of the research conducted. Using qualitative in addition to quantitative designs will equip us with better tools to address a greater range of research problems, and to fill in blind spots in current neurological research and practice.
The aim of this paper is to provide an overview of qualitative research methods, including hands-on information on how they can be used, reported and assessed. This article is intended for beginning qualitative researchers in the health sciences as well as experienced quantitative researchers who wish to broaden their understanding of qualitative research.
Qualitative research is defined as “the study of the nature of phenomena”, including “their quality, different manifestations, the context in which they appear or the perspectives from which they can be perceived” , but excluding “their range, frequency and place in an objectively determined chain of cause and effect” [ 1 ]. This formal definition can be complemented with a more pragmatic rule of thumb: qualitative research generally includes data in form of words rather than numbers [ 2 ].
Because some research questions cannot be answered using (only) quantitative methods. For example, one Australian study addressed the issue of why patients from Aboriginal communities often present late or not at all to specialist services offered by tertiary care hospitals. Using qualitative interviews with patients and staff, it found one of the most significant access barriers to be transportation problems, including some towns and communities simply not having a bus service to the hospital [ 3 ]. A quantitative study could have measured the number of patients over time or even looked at possible explanatory factors – but only those previously known or suspected to be of relevance. To discover reasons for observed patterns, especially the invisible or surprising ones, qualitative designs are needed.
While qualitative research is common in other fields, it is still relatively underrepresented in health services research. The latter field is more traditionally rooted in the evidence-based-medicine paradigm, as seen in " research that involves testing the effectiveness of various strategies to achieve changes in clinical practice, preferably applying randomised controlled trial study designs (...) " [ 4 ]. This focus on quantitative research and specifically randomised controlled trials (RCT) is visible in the idea of a hierarchy of research evidence which assumes that some research designs are objectively better than others, and that choosing a "lesser" design is only acceptable when the better ones are not practically or ethically feasible [ 5 , 6 ]. Others, however, argue that an objective hierarchy does not exist, and that, instead, the research design and methods should be chosen to fit the specific research question at hand – "questions before methods" [ 2 , 7 – 9 ]. This means that even when an RCT is possible, some research problems require a different design that is better suited to addressing them. Arguing in JAMA, Berwick uses the example of rapid response teams in hospitals, which he describes as " a complex, multicomponent intervention – essentially a process of social change" susceptible to a range of different context factors including leadership or organisation history. According to him, "[in] such complex terrain, the RCT is an impoverished way to learn. Critics who use it as a truth standard in this context are incorrect" [ 8 ] . Instead of limiting oneself to RCTs, Berwick recommends embracing a wider range of methods , including qualitative ones, which for "these specific applications, (...) are not compromises in learning how to improve; they are superior" [ 8 ].
Research problems that can be approached particularly well using qualitative methods include assessing complex multi-component interventions or systems (of change), addressing questions beyond “what works”, towards “what works for whom when, how and why”, and focussing on intervention improvement rather than accreditation [ 7 , 9 – 12 ]. Using qualitative methods can also help shed light on the “softer” side of medical treatment. For example, while quantitative trials can measure the costs and benefits of neuro-oncological treatment in terms of survival rates or adverse effects, qualitative research can help provide a better understanding of patient or caregiver stress, visibility of illness or out-of-pocket expenses.
Given that qualitative research is characterised by flexibility, openness and responsivity to context, the steps of data collection and analysis are not as separate and consecutive as they tend to be in quantitative research [ 13 , 14 ]. As Fossey puts it : “sampling, data collection, analysis and interpretation are related to each other in a cyclical (iterative) manner, rather than following one after another in a stepwise approach” [ 15 ]. The researcher can make educated decisions with regard to the choice of method, how they are implemented, and to which and how many units they are applied [ 13 ]. As shown in Fig. 1 , this can involve several back-and-forth steps between data collection and analysis where new insights and experiences can lead to adaption and expansion of the original plan. Some insights may also necessitate a revision of the research question and/or the research design as a whole. The process ends when saturation is achieved, i.e. when no relevant new information can be found (see also below: sampling and saturation). For reasons of transparency, it is essential for all decisions as well as the underlying reasoning to be well-documented.
Iterative research process
While it is not always explicitly addressed, qualitative methods reflect a different underlying research paradigm than quantitative research (e.g. constructivism or interpretivism as opposed to positivism). The choice of methods can be based on the respective underlying substantive theory or theoretical framework used by the researcher [ 2 ].
The methods of qualitative data collection most commonly used in health research are document study, observations, semi-structured interviews and focus groups [ 1 , 14 , 16 , 17 ].
Document study (also called document analysis) refers to the review by the researcher of written materials [ 14 ]. These can include personal and non-personal documents such as archives, annual reports, guidelines, policy documents, diaries or letters.
Observations are particularly useful to gain insights into a certain setting and actual behaviour – as opposed to reported behaviour or opinions [ 13 ]. Qualitative observations can be either participant or non-participant in nature. In participant observations, the observer is part of the observed setting, for example a nurse working in an intensive care unit [ 18 ]. In non-participant observations, the observer is “on the outside looking in”, i.e. present in but not part of the situation, trying not to influence the setting by their presence. Observations can be planned (e.g. for 3 h during the day or night shift) or ad hoc (e.g. as soon as a stroke patient arrives at the emergency room). During the observation, the observer takes notes on everything or certain pre-determined parts of what is happening around them, for example focusing on physician-patient interactions or communication between different professional groups. Written notes can be taken during or after the observations, depending on feasibility (which is usually lower during participant observations) and acceptability (e.g. when the observer is perceived to be judging the observed). Afterwards, these field notes are transcribed into observation protocols. If more than one observer was involved, field notes are taken independently, but notes can be consolidated into one protocol after discussions. Advantages of conducting observations include minimising the distance between the researcher and the researched, the potential discovery of topics that the researcher did not realise were relevant and gaining deeper insights into the real-world dimensions of the research problem at hand [ 18 ].
Hijmans & Kuyper describe qualitative interviews as “an exchange with an informal character, a conversation with a goal” [ 19 ]. Interviews are used to gain insights into a person’s subjective experiences, opinions and motivations – as opposed to facts or behaviours [ 13 ]. Interviews can be distinguished by the degree to which they are structured (i.e. a questionnaire), open (e.g. free conversation or autobiographical interviews) or semi-structured [ 2 , 13 ]. Semi-structured interviews are characterized by open-ended questions and the use of an interview guide (or topic guide/list) in which the broad areas of interest, sometimes including sub-questions, are defined [ 19 ]. The pre-defined topics in the interview guide can be derived from the literature, previous research or a preliminary method of data collection, e.g. document study or observations. The topic list is usually adapted and improved at the start of the data collection process as the interviewer learns more about the field [ 20 ]. Across interviews the focus on the different (blocks of) questions may differ and some questions may be skipped altogether (e.g. if the interviewee is not able or willing to answer the questions or for concerns about the total length of the interview) [ 20 ]. Qualitative interviews are usually not conducted in written format as it impedes on the interactive component of the method [ 20 ]. In comparison to written surveys, qualitative interviews have the advantage of being interactive and allowing for unexpected topics to emerge and to be taken up by the researcher. This can also help overcome a provider or researcher-centred bias often found in written surveys, which by nature, can only measure what is already known or expected to be of relevance to the researcher. Interviews can be audio- or video-taped; but sometimes it is only feasible or acceptable for the interviewer to take written notes [ 14 , 16 , 20 ].
Focus groups are group interviews to explore participants’ expertise and experiences, including explorations of how and why people behave in certain ways [ 1 ]. Focus groups usually consist of 6–8 people and are led by an experienced moderator following a topic guide or “script” [ 21 ]. They can involve an observer who takes note of the non-verbal aspects of the situation, possibly using an observation guide [ 21 ]. Depending on researchers’ and participants’ preferences, the discussions can be audio- or video-taped and transcribed afterwards [ 21 ]. Focus groups are useful for bringing together homogeneous (to a lesser extent heterogeneous) groups of participants with relevant expertise and experience on a given topic on which they can share detailed information [ 21 ]. Focus groups are a relatively easy, fast and inexpensive method to gain access to information on interactions in a given group, i.e. “the sharing and comparing” among participants [ 21 ]. Disadvantages include less control over the process and a lesser extent to which each individual may participate. Moreover, focus group moderators need experience, as do those tasked with the analysis of the resulting data. Focus groups can be less appropriate for discussing sensitive topics that participants might be reluctant to disclose in a group setting [ 13 ]. Moreover, attention must be paid to the emergence of “groupthink” as well as possible power dynamics within the group, e.g. when patients are awed or intimidated by health professionals.
As explained above, the school of thought underlying qualitative research assumes no objective hierarchy of evidence and methods. This means that each choice of single or combined methods has to be based on the research question that needs to be answered and a critical assessment with regard to whether or to what extent the chosen method can accomplish this – i.e. the “fit” between question and method [ 14 ]. It is necessary for these decisions to be documented when they are being made, and to be critically discussed when reporting methods and results.
Let us assume that our research aim is to examine the (clinical) processes around acute endovascular treatment (EVT), from the patient’s arrival at the emergency room to recanalization, with the aim to identify possible causes for delay and/or other causes for sub-optimal treatment outcome. As a first step, we could conduct a document study of the relevant standard operating procedures (SOPs) for this phase of care – are they up-to-date and in line with current guidelines? Do they contain any mistakes, irregularities or uncertainties that could cause delays or other problems? Regardless of the answers to these questions, the results have to be interpreted based on what they are: a written outline of what care processes in this hospital should look like. If we want to know what they actually look like in practice, we can conduct observations of the processes described in the SOPs. These results can (and should) be analysed in themselves, but also in comparison to the results of the document analysis, especially as regards relevant discrepancies. Do the SOPs outline specific tests for which no equipment can be observed or tasks to be performed by specialized nurses who are not present during the observation? It might also be possible that the written SOP is outdated, but the actual care provided is in line with current best practice. In order to find out why these discrepancies exist, it can be useful to conduct interviews. Are the physicians simply not aware of the SOPs (because their existence is limited to the hospital’s intranet) or do they actively disagree with them or does the infrastructure make it impossible to provide the care as described? Another rationale for adding interviews is that some situations (or all of their possible variations for different patient groups or the day, night or weekend shift) cannot practically or ethically be observed. In this case, it is possible to ask those involved to report on their actions – being aware that this is not the same as the actual observation. A senior physician’s or hospital manager’s description of certain situations might differ from a nurse’s or junior physician’s one, maybe because they intentionally misrepresent facts or maybe because different aspects of the process are visible or important to them. In some cases, it can also be relevant to consider to whom the interviewee is disclosing this information – someone they trust, someone they are otherwise not connected to, or someone they suspect or are aware of being in a potentially “dangerous” power relationship to them. Lastly, a focus group could be conducted with representatives of the relevant professional groups to explore how and why exactly they provide care around EVT. The discussion might reveal discrepancies (between SOPs and actual care or between different physicians) and motivations to the researchers as well as to the focus group members that they might not have been aware of themselves. For the focus group to deliver relevant information, attention has to be paid to its composition and conduct, for example, to make sure that all participants feel safe to disclose sensitive or potentially problematic information or that the discussion is not dominated by (senior) physicians only. The resulting combination of data collection methods is shown in Fig. 2 .
Possible combination of data collection methods
Attributions for icons: “Book” by Serhii Smirnov, “Interview” by Adrien Coquet, FR, “Magnifying Glass” by anggun, ID, “Business communication” by Vectors Market; all from the Noun Project
The combination of multiple data source as described for this example can be referred to as “triangulation”, in which multiple measurements are carried out from different angles to achieve a more comprehensive understanding of the phenomenon under study [ 22 , 23 ].
To analyse the data collected through observations, interviews and focus groups these need to be transcribed into protocols and transcripts (see Fig. 3 ). Interviews and focus groups can be transcribed verbatim , with or without annotations for behaviour (e.g. laughing, crying, pausing) and with or without phonetic transcription of dialects and filler words, depending on what is expected or known to be relevant for the analysis. In the next step, the protocols and transcripts are coded , that is, marked (or tagged, labelled) with one or more short descriptors of the content of a sentence or paragraph [ 2 , 15 , 23 ]. Jansen describes coding as “connecting the raw data with “theoretical” terms” [ 20 ]. In a more practical sense, coding makes raw data sortable. This makes it possible to extract and examine all segments describing, say, a tele-neurology consultation from multiple data sources (e.g. SOPs, emergency room observations, staff and patient interview). In a process of synthesis and abstraction, the codes are then grouped, summarised and/or categorised [ 15 , 20 ]. The end product of the coding or analysis process is a descriptive theory of the behavioural pattern under investigation [ 20 ]. The coding process is performed using qualitative data management software, the most common ones being InVivo, MaxQDA and Atlas.ti. It should be noted that these are data management tools which support the analysis performed by the researcher(s) [ 14 ].
From data collection to data analysis
Attributions for icons: see Fig. Fig.2, 2 , also “Speech to text” by Trevor Dsouza, “Field Notes” by Mike O’Brien, US, “Voice Record” by ProSymbols, US, “Inspection” by Made, AU, and “Cloud” by Graphic Tigers; all from the Noun Project
Protocols of qualitative research can be published separately and in advance of the study results. However, the aim is not the same as in RCT protocols, i.e. to pre-define and set in stone the research questions and primary or secondary endpoints. Rather, it is a way to describe the research methods in detail, which might not be possible in the results paper given journals’ word limits. Qualitative research papers are usually longer than their quantitative counterparts to allow for deep understanding and so-called “thick description”. In the methods section, the focus is on transparency of the methods used, including why, how and by whom they were implemented in the specific study setting, so as to enable a discussion of whether and how this may have influenced data collection, analysis and interpretation. The results section usually starts with a paragraph outlining the main findings, followed by more detailed descriptions of, for example, the commonalities, discrepancies or exceptions per category [ 20 ]. Here it is important to support main findings by relevant quotations, which may add information, context, emphasis or real-life examples [ 20 , 23 ]. It is subject to debate in the field whether it is relevant to state the exact number or percentage of respondents supporting a certain statement (e.g. “Five interviewees expressed negative feelings towards XYZ”) [ 21 ].
Qualitative methods can be combined with other methods in multi- or mixed methods designs, which “[employ] two or more different methods [ …] within the same study or research program rather than confining the research to one single method” [ 24 ]. Reasons for combining methods can be diverse, including triangulation for corroboration of findings, complementarity for illustration and clarification of results, expansion to extend the breadth and range of the study, explanation of (unexpected) results generated with one method with the help of another, or offsetting the weakness of one method with the strength of another [ 1 , 17 , 24 – 26 ]. The resulting designs can be classified according to when, why and how the different quantitative and/or qualitative data strands are combined. The three most common types of mixed method designs are the convergent parallel design , the explanatory sequential design and the exploratory sequential design. The designs with examples are shown in Fig. 4 .
Three common mixed methods designs
In the convergent parallel design, a qualitative study is conducted in parallel to and independently of a quantitative study, and the results of both studies are compared and combined at the stage of interpretation of results. Using the above example of EVT provision, this could entail setting up a quantitative EVT registry to measure process times and patient outcomes in parallel to conducting the qualitative research outlined above, and then comparing results. Amongst other things, this would make it possible to assess whether interview respondents’ subjective impressions of patients receiving good care match modified Rankin Scores at follow-up, or whether observed delays in care provision are exceptions or the rule when compared to door-to-needle times as documented in the registry. In the explanatory sequential design, a quantitative study is carried out first, followed by a qualitative study to help explain the results from the quantitative study. This would be an appropriate design if the registry alone had revealed relevant delays in door-to-needle times and the qualitative study would be used to understand where and why these occurred, and how they could be improved. In the exploratory design, the qualitative study is carried out first and its results help informing and building the quantitative study in the next step [ 26 ]. If the qualitative study around EVT provision had shown a high level of dissatisfaction among the staff members involved, a quantitative questionnaire investigating staff satisfaction could be set up in the next step, informed by the qualitative study on which topics dissatisfaction had been expressed. Amongst other things, the questionnaire design would make it possible to widen the reach of the research to more respondents from different (types of) hospitals, regions, countries or settings, and to conduct sub-group analyses for different professional groups.
A variety of assessment criteria and lists have been developed for qualitative research, ranging in their focus and comprehensiveness [ 14 , 17 , 27 ]. However, none of these has been elevated to the “gold standard” in the field. In the following, we therefore focus on a set of commonly used assessment criteria that, from a practical standpoint, a researcher can look for when assessing a qualitative research report or paper.
Assessors should check the authors’ use of and adherence to the relevant reporting checklists (e.g. Standards for Reporting Qualitative Research (SRQR)) to make sure all items that are relevant for this type of research are addressed [ 23 , 28 ]. Discussions of quantitative measures in addition to or instead of these qualitative measures can be a sign of lower quality of the research (paper). Providing and adhering to a checklist for qualitative research contributes to an important quality criterion for qualitative research, namely transparency [ 15 , 17 , 23 ].
While methodological transparency and complete reporting is relevant for all types of research, some additional criteria must be taken into account for qualitative research. This includes what is called reflexivity, i.e. sensitivity to the relationship between the researcher and the researched, including how contact was established and maintained, or the background and experience of the researcher(s) involved in data collection and analysis. Depending on the research question and population to be researched this can be limited to professional experience, but it may also include gender, age or ethnicity [ 17 , 27 ]. These details are relevant because in qualitative research, as opposed to quantitative research, the researcher as a person cannot be isolated from the research process [ 23 ]. It may influence the conversation when an interviewed patient speaks to an interviewer who is a physician, or when an interviewee is asked to discuss a gynaecological procedure with a male interviewer, and therefore the reader must be made aware of these details [ 19 ].
The aim of qualitative sampling is for all variants of the objects of observation that are deemed relevant for the study to be present in the sample “ to see the issue and its meanings from as many angles as possible” [ 1 , 16 , 19 , 20 , 27 ] , and to ensure “information-richness [ 15 ]. An iterative sampling approach is advised, in which data collection (e.g. five interviews) is followed by data analysis, followed by more data collection to find variants that are lacking in the current sample. This process continues until no new (relevant) information can be found and further sampling becomes redundant – which is called saturation [ 1 , 15 ] . In other words: qualitative data collection finds its end point not a priori , but when the research team determines that saturation has been reached [ 29 , 30 ].
This is also the reason why most qualitative studies use deliberate instead of random sampling strategies. This is generally referred to as “ purposive sampling” , in which researchers pre-define which types of participants or cases they need to include so as to cover all variations that are expected to be of relevance, based on the literature, previous experience or theory (i.e. theoretical sampling) [ 14 , 20 ]. Other types of purposive sampling include (but are not limited to) maximum variation sampling, critical case sampling or extreme or deviant case sampling [ 2 ]. In the above EVT example, a purposive sample could include all relevant professional groups and/or all relevant stakeholders (patients, relatives) and/or all relevant times of observation (day, night and weekend shift).
Assessors of qualitative research should check whether the considerations underlying the sampling strategy were sound and whether or how researchers tried to adapt and improve their strategies in stepwise or cyclical approaches between data collection and analysis to achieve saturation [ 14 ].
Good qualitative research is iterative in nature, i.e. it goes back and forth between data collection and analysis, revising and improving the approach where necessary. One example of this are pilot interviews, where different aspects of the interview (especially the interview guide, but also, for example, the site of the interview or whether the interview can be audio-recorded) are tested with a small number of respondents, evaluated and revised [ 19 ]. In doing so, the interviewer learns which wording or types of questions work best, or which is the best length of an interview with patients who have trouble concentrating for an extended time. Of course, the same reasoning applies to observations or focus groups which can also be piloted.
Ideally, coding should be performed by at least two researchers, especially at the beginning of the coding process when a common approach must be defined, including the establishment of a useful coding list (or tree), and when a common meaning of individual codes must be established [ 23 ]. An initial sub-set or all transcripts can be coded independently by the coders and then compared and consolidated after regular discussions in the research team. This is to make sure that codes are applied consistently to the research data.
Member checking, also called respondent validation , refers to the practice of checking back with study respondents to see if the research is in line with their views [ 14 , 27 ]. This can happen after data collection or analysis or when first results are available [ 23 ]. For example, interviewees can be provided with (summaries of) their transcripts and asked whether they believe this to be a complete representation of their views or whether they would like to clarify or elaborate on their responses [ 17 ]. Respondents’ feedback on these issues then becomes part of the data collection and analysis [ 27 ].
In those niches where qualitative approaches have been able to evolve and grow, a new trend has seen the inclusion of patients and their representatives not only as study participants (i.e. “members”, see above) but as consultants to and active participants in the broader research process [ 31 – 33 ]. The underlying assumption is that patients and other stakeholders hold unique perspectives and experiences that add value beyond their own single story, making the research more relevant and beneficial to researchers, study participants and (future) patients alike [ 34 , 35 ]. Using the example of patients on or nearing dialysis, a recent scoping review found that 80% of clinical research did not address the top 10 research priorities identified by patients and caregivers [ 32 , 36 ]. In this sense, the involvement of the relevant stakeholders, especially patients and relatives, is increasingly being seen as a quality indicator in and of itself.
The above overview does not include certain items that are routine in assessments of quantitative research. What follows is a non-exhaustive, non-representative, experience-based list of the quantitative criteria often applied to the assessment of qualitative research, as well as an explanation of the limited usefulness of these endeavours.
Given the openness and flexibility of qualitative research, it should not be assessed by how well it adheres to pre-determined and fixed strategies – in other words: its rigidity. Instead, the assessor should look for signs of adaptation and refinement based on lessons learned from earlier steps in the research process.
For the reasons explained above, qualitative research does not require specific sample sizes, nor does it require that the sample size be determined a priori [ 1 , 14 , 27 , 37 – 39 ]. Sample size can only be a useful quality indicator when related to the research purpose, the chosen methodology and the composition of the sample, i.e. who was included and why.
While some authors argue that randomisation can be used in qualitative research, this is not commonly the case, as neither its feasibility nor its necessity or usefulness has been convincingly established for qualitative research [ 13 , 27 ]. Relevant disadvantages include the negative impact of a too large sample size as well as the possibility (or probability) of selecting “ quiet, uncooperative or inarticulate individuals ” [ 17 ]. Qualitative studies do not use control groups, either.
The concept of “interrater reliability” is sometimes used in qualitative research to assess to which extent the coding approach overlaps between the two co-coders. However, it is not clear what this measure tells us about the quality of the analysis [ 23 ]. This means that these scores can be included in qualitative research reports, preferably with some additional information on what the score means for the analysis, but it is not a requirement. Relatedly, it is not relevant for the quality or “objectivity” of qualitative research to separate those who recruited the study participants and collected and analysed the data. Experiences even show that it might be better to have the same person or team perform all of these tasks [ 20 ]. First, when researchers introduce themselves during recruitment this can enhance trust when the interview takes place days or weeks later with the same researcher. Second, when the audio-recording is transcribed for analysis, the researcher conducting the interviews will usually remember the interviewee and the specific interview situation during data analysis. This might be helpful in providing additional context information for interpretation of data, e.g. on whether something might have been meant as a joke [ 18 ].
Being qualitative research instead of quantitative research should not be used as an assessment criterion if it is used irrespectively of the research problem at hand. Similarly, qualitative research should not be required to be combined with quantitative research per se – unless mixed methods research is judged as inherently better than single-method research. In this case, the same criterion should be applied for quantitative studies without a qualitative component.
The main take-away points of this paper are summarised in Table Table1. 1 . We aimed to show that, if conducted well, qualitative research can answer specific research questions that cannot to be adequately answered using (only) quantitative designs. Seeing qualitative and quantitative methods as equal will help us become more aware and critical of the “fit” between the research problem and our chosen methods: I can conduct an RCT to determine the reasons for transportation delays of acute stroke patients – but should I? It also provides us with a greater range of tools to tackle a greater range of research problems more appropriately and successfully, filling in the blind spots on one half of the methodological spectrum to better address the whole complexity of neurological research and practice.
Take-away-points
• Assessing complex multi-component interventions or systems (of change) • What works for whom when, how and why? • Focussing on intervention improvement | • Document study • Observations (participant or non-participant) • Interviews (especially semi-structured) • Focus groups | • Transcription of audio-recordings and field notes into transcripts and protocols • Coding of protocols • Using qualitative data management software |
• Combinations of quantitative and/or qualitative methods, e.g.: • : quali and quanti in parallel • : quanti followed by quali • : quali followed by quanti | • Checklists • Reflexivity • Sampling strategies • Piloting • Co-coding • Member checking • Stakeholder involvement | • Protocol adherence • Sample size • Randomization • Interrater reliability, variability and other “objectivity checks” • Not being quantitative research |
Abbreviations.
EVT | Endovascular treatment |
RCT | Randomised Controlled Trial |
SOP | Standard Operating Procedure |
SRQR | Standards for Reporting Qualitative Research |
LB drafted the manuscript; WW and CG revised the manuscript; all authors approved the final versions.
no external funding.
Ethics approval and consent to participate, consent for publication, competing interests.
The authors declare no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Series Editor : Michael Theall, Youngstown State University Authors : Gail MacKay, Indiana University Kokomo; Barbara Millis, University of Nevada-Reno; Rebecca Brent, Education Designs, Inc.
At institutions of higher education across the U.S., information literacy (IL) is being integrated into general education curricula as a specific learning objective. The Association of College and Research Libraries (ACRL) (1) defines information literate students as those who “recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information.” As the world moves toward a knowledge-based economy, information literacy becomes a crucial component of preparing students for the lifelong learning that current and future job markets demand.
IDEA Research Report #1 (2) states that, “…It is important to recognize that much of the subject matter content which students learn today will be outdated in 5-10 years after they graduate.” Thus, an emphasis on lifelong learning seems imperative. Canja (3), for example, suggests that “… Lifelong learning has become an economic necessity for national and global productivity. With the decline in birth rates in major developed countries, persons—still active, still healthy—must continue in the workforce, trained and retrained” (p. 27). Ironically, IDEA Research Report #1 also finds that the objectives identified as emphasizing lifelong learning (Learning to find and use resources, and Gave tests/projects that covered most important points) were identified as “Important” or “Essential” in only about 30% of the classes using IDEA. The ACRL (1) notes, “Information literacy forms the basis for lifelong learning. It is common to all disciplines, to all learning environments, and to all levels of education. It enables learners to master content and extend their investigations, become more self-directed, and assume greater control over their own learning.” However, information literacy does not concern itself only with technical resources. Successful students and workers must also be able to affiliate with others and to seek and find expertise among the human resources that are available (4).
Seeking out information resources and then using them to address a question or a problem are engaging activities, and there are several attached benefits. First is recognition of the value of the resources. Next is application of the new information and the construction of new knowledge. Intrinsic motivation results from the realization that learning is taking place and ultimately, these practical and motivational effects promote continued use of the resources, lifelong learning, and facilitates deep learning.
For example, here are key components that characterize a deep, rather than a surface approach to learning. Rhem (5) summarizes them as follows:
Motivational context: We learn best what we feel a need to know. Intrinsic motivation remains inextricably bound to some level of choice and control. Courses that remove these take away the sense of ownership and kill one of the strongest elements in lasting learning.
Learner activity: Deep learning and “doing” travel together. Doing in itself isn’t enough. Faculty must connect activity to the abstract conceptions that make sense of it, but passive mental postures lead to superficial learning.
Interaction with others: As Noel Entwistle put it in a recent email message, “The teacher is not the only source of instruction or inspiration.”
A well-structured knowledge base: This does not just mean presenting new material in an organized way. It also means engaging and reshaping, when necessary, the concepts students bring with them. Deep approaches and learning for understanding are integrative processes. The more fully new concepts can be connected with students’ prior experience and existing knowledge, the more it is they will be impatient with inert facts and eager to achieve their own synthesis (p. 4).
If instructors are to motivate students to acquire the skills of information literacy that will help them to remain lifelong learners, then they need to design research projects and assignments that get students into the knowledge base and engage them in critical thinking activities through active learning and interaction with one another. Through such sequenced assignments, students can learn how to answer relevant questions and to solve challenging problems.
Keep in mind that an important component of finding and using resources to explore topics is evaluating the quality of those resources. In an information-rich world, students must be able to determine if a resource is reliable and valid enough to use in their work. These information literacy skills (and even quantitative literacy skills–see the Teaching Note, “Learning appropriate methods for collecting, analyzing, and interpreting numerical information”) must be taught. See the Teaching Note, “Encouraged students to use multiple resources (e.g. Internet, library holdings, outside experts) to improve understanding,” for more ideas.
The most relevant IDEA instructional method is “encouraged students to use multiple resources to improve understanding.” This Learning Note complements Baron’s with some general guidelines that focus on developing good research projects or assignments to assist with “learning how to find and use resources for answering questions or solving problems” and attempts to help instructors provide students with effective and feasible assignments. With today’s information overload, students need guidance in locating and using appropriate resources for answering questions and solving problems. Students must hone these skills throughout their lives. Academic librarians can serve as an instructor’s best ally.
Other IDEA instructional methods that are important to Objective #9 include items #2 Finding ways to help students answer their own questions, #8 Stimulating intellectual effort, #15 Inspiring students to set and achieve goals, #18 Asking students to help each other understand ideas or concepts, and #19 Assigning work that requires original or creative thinking. These relationships are logical because the nature of investigative activity requires intellectual effort, focused exploration, and creativity, and the connections between problem solving and gathering information and evidence have been well-documented (6). These methods support many of the specific hints described below.
Motivation as a starting point. Locating information for its own sake provides practice, but it fails to engage motivated students in productive work linked to an understood outcome. Feldman suggests that student achievement remains strongly correlated to the perceived outcomes of instruction (7). The relevance of assigned work is also critical to student’s active engagement (8) and a major predictor of student ratings of their teachers (9). Thus, skill development becomes much more productive when there is a clearly understood link between the assigned work and specific learning goals or tangible products. The real-world analog is obvious: people do not search for information unless they have a reason to do so. Because in many teaching-learning situations, teachers expect students to explore issues and topics that may not intrinsically interest them, demonstrating relevance and utility become critical first steps in getting students engaged (See “Related course material to real-life situations” and “Introduced stimulating ideas about the subject”). Allowing students some choice of topic or project can motivate them to take a deeper approach to learning (10).
Sequence the research project or assignment. If instructors want students to learn to find and use resources to tackle stimulating questions and challenging problems through research, they need to design sequenced activities that motivate students and get them into the knowledge base. This can often be accomplished through the individual work that students do either as discrete homework assignments or as smaller parts of an extended research project. What becomes of these assignments or project components is critical for deep learning. Instructors should design in-class exercises where learners are actively engaged with the material they prepared individually and with each other (11).
A. Planning
B. Designing
Provide opportunities to engage in deep learning. As noted in the background section, the key components characterizing deep learning are motivation context, learner activity, interaction with others, and a well-structured knowledge base (5). As an example, faculty members can ask students, as part of a larger research project, to prepare paired annotations based on the double entry journal recommended by writing across the curriculum and classroom assessment experts (17). The teacher or the students identify a pool of articles on the question or problem at hand. Each student, working individually out-of-class, prepares a reflective commentary on one of the articles or chapters. They do so using a double column format (a Microsoft Word table works beautifully) where they cite the key points of the research article on the left-hand side and reactions, questions, commentary, and connections with other readings on the right, aligning the key point with the reflective commentary. The entries in these columns will not be the same length. When students come to class, the teacher randomly pairs them with another student who has read and analyzed the same research article. The two partners now read one another’s reflective commentaries, comparing both the key points they have identified and their specific responses to them. They discuss their reasons for the choices they made. Then working together, they prepare a composite annotation summarizing the article (See IDEA Paper No. 38).
This activity should be repeated several times during the semester, pairing different students. It enables students to reflect on their own thinking skills (metacognition) and to compare their thinking with those of other students. The more paired annotations they complete, the more skilled students become at identifying key points in an article and “using resources for answering questions or solving problems.” This structure thus enables teachers to sequence learning in meaningful ways. It builds critical thinking and writing skills by having students analyze and then compare their responses to the same piece of writing. It has the additional virtue of being relevant to virtually any discipline. Over the course of the semester, students build a repertoire of annotated research articles they can bring to bear on the given question or problem.
A note about technology. A thorough discussion of the ways in which new technologies can support and supplement students’ efforts to find and use resources is beyond the scope of this Note. However, we should mention at minimum, that the bounty that awaits students who explore web-based resources comes with a price: the equally large amount of inaccurate, incomplete, and sometimes distorted information that can be found in any web search. The critical issue for teachers is to construct assignments that require specific information known to exist and is accessible with minimum interference from useless, irrelevant, or biased data . Your resource librarian can be a tremendous asset in saving you hours of work (e.g., training students on effective and efficient search strategies and helping everyone to avoid wasting time and effort on valueless information). All disciplines and courses deal with electronic information and we cannot ignore its potential value. What is important to remember in constructing assignments is that the work must have a meaningful relationship to a clearly stated outcome. There has to be a tangible “payoff” in terms of students being able to connect the work to an understood and desired result.
Learn effective techniques for conducting performance evaluations, from 360-degree feedback to goal-setting. Overcome biases and improve your team’s growth.
Performance evaluations can be tough to give. But, they provide a powerful opportunity to boost productivity, improve teamwork, and guide employees toward personal and professional growth.
You’ve landed on the right article if you want to turn this often-dreaded event into a meaningful exercise. Stick around as we unpack proven strategies, pitfalls to avoid, and methods that will help you maximize the benefits of your next performance evaluation.
A performance evaluation is a comprehensive, structured process, often led by a manager or human resources, to assess an employee’s work, behavior, and outcomes based on specific criteria.
Typically conducted annually, this is the “big picture” look at an employee’s contributions. However, some progressive companies are moving toward semi-annual or quarterly evaluations to keep the feedback loop tight.
It’s essentially a long conversation involving multiple people assessing how an employee is doing quantifiably. A typical performance evaluation uses this format:
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You only have so much time in each performance evaluation, so you can only discuss some things. Let’s talk about how you can handpick the meeting agenda items that offer a balanced and meaningful picture of an employee’s contributions.
Start with the tasks that can be quantified. Whether it’s the number of projects completed on time, customer satisfaction scores, or leads converted, these hard numbers offer an objective basis for your assessment.
You should still dip into the “performance review” space of talking about how things feel and how the employee contributes non-quantifiably (how they help with team morale or show leadership potential, for example). However, the numbers will help clarify if the employee’s output meets their baseline performance standards.
Action Step: Clarify beforehand all of the measurable metrics related to the employee’s role that you want to discuss. Get clear on what the threshold of “success” for each metric is.
Don’t lose sight of the skills and attributes that make an employee great. Pro-activity, resourcefulness, and communication are also vital to team success, so find ways to evaluate these softer skills.
Action Step: One way to gauge these harder-to-measure skills is to have your employees list several qualities they aspire to display at work. Some examples might be:
Then, at your performance evaluation, have them self-assess how they’ve done on these qualities. You can also give feedback on how you feel they’ve exhibited these qualities. And you can even elicit peer feedback before the meeting,
Make sure to update their aspirational qualities every quarter or year so that they still feel inspired by their list.
Another place to focus your evaluation is where their role meets company goals.
If this quarter focuses on customer retention, then customer engagement and satisfaction tasks should carry more weight in your evaluation.
Action Step: Consider how the current OKRs align with this employee’s role and duties. How much of their role is geared toward the OKRs, and how are they doing in those areas?
Regular, recurring tasks show how reliable and consistent an employee is.
But don’t ignore those big milestones—the successful product launches or completed campaigns. These demonstrate an employee’s aptitude for managing larger responsibilities.
Action Step: Address how the employee is doing with their day-to-day and bigger projects.
Going into a performance review as an employee can feel scary. But if you prepare beforehand, you can make the conversation smoother and come off as more prepared.
Before stepping into your performance evaluation, arm yourself with data.
These metrics are not just numbers; they’re the story of your hard work, dedication, and progress. They provide a clear, objective backdrop to your performance, making your achievements quantifiable and your contributions tangible.
Action Step: Gather all relevant data and statistics that reflect your performance. This could include sales numbers, project completion rates, customer satisfaction scores, or other relevant metrics. Organize them concisely in a chart or a brief report to make them easy to discuss during your evaluation.
Reflect on the unique blend of skills you bring to your role. Whether it’s your knack for problem-solving, exceptional communication skills, or ability to lead a team under pressure, acknowledging these skills helps you articulate your unique value in the performance evaluation.
Action Step: List your key skills and how they have positively impacted your work. Think of specific instances where your skills made a difference – a problem you solved, a project you led successfully, or a challenging situation you navigated easily. Be ready to share these examples during your evaluation.
When you can align your efforts with the company goals, you come off as a team player, and it shows that you’re not just working in the company, but you’re working for the company’s vision.
Action Step: Review the company’s goals and objectives for the quarter. Identify how your work directly contributes to these goals. Prepare to discuss specific examples of how your performance aligns with the company’s direction, and be ready to suggest ways you can further support these objectives in the future.
Every accomplishment counts, whether a game-changing project or your daily task. Think of this as your professional highlight reel. This comprehensive view often provides a more accurate picture of your value to the team.
Action Step: Create a comprehensive list of accomplishments over the evaluation period. Include both major projects and smaller tasks or improvements. Be specific about how each accomplishment contributed to the team or company, and be prepared to discuss them during your evaluation.
Your employee’s relationship with you has a profound impact on both their job satisfaction and even their life satisfaction, as seen by the data below:
How you show up as a manager impacts your employees’ well-being, so you have a responsibility to hold! With this in mind, you can look at this performance evaluation as an opportunity to accurately assess how your team is doing and encourage them to do their best work.
Here are a few tips to keep in mind to make sure your evaluations are clarifying, valuable, and encouraging.
If you work as a manager or in HR, part of your role is to make sure all the gears are turning smoothly. But you also have a leadership opportunity to empower your team into the best versions of themselves.
If you open a dialogue about what they want for their careers and how you can support them, you’ll inspire their work because they’ll see how today’s grind sets them up for tomorrow’s glory. Plus, you’re creating a climate where ambition is recognized and nurtured.
This is also a good time to discuss possible bonuses or any relevant promotion paths and what it will take to get to the next level.
Action Step:
During your evaluation, make sure to ask questions like:
You’re not just clocking in as a manager; you’re showing up as a mentor.
By bringing goal-setting into the picture, you map a successful road ahead for your employees. This can empower your team members and keep them on track.
Plus, when measurable goals are in place, you are setting up an honest, straightforward way to gauge how things are going later.
When helping set goals, consider making them:
Allocate a segment of your review meeting to collaborate on SMART goals for the upcoming quarter or year. Pose questions like:
Once you agree, scribble them down and lock in some check-in dates. These periodic reviews keep the energy high and make room for course corrections, helping you switch from just evaluating to genuinely empowering your team.
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Share how the evaluation will be conducted and the criteria used from the get-go. It can be beneficial to share this information before the meeting so employees can brace themselves.
Transparency minimizes anxiety and leaves less room for surprises, making the evaluation process more straightforward for everyone involved.
A performance evaluation shouldn’t just be a manager monologuing at an employee; it should be a back-and-forth.
This can offer you additional insights and allow employees to voice their opinions, concerns, or aspirations.
Action Step: Before the evaluation meeting, let the employee know that you’d like to hear their thoughts on their performance and any goals or obstacles they see. Create a designated time in the evaluation agenda for this open dialogue.
It’s always good to circle back to the employee’s job description. These are the bread-and-butter tasks, the ones they were hired to do.
Action Step: Before the performance evaluation meeting, print out a list of all the employee’s official core duties and be prepared to go through each point with them.
A group of researchers 1 https://trace.tennessee.edu/utk_gradthes/5046/ compared groups of athletes with unconditionally positive coaches to a group of athletes with coaches who were critical. The study found that athletes with positive coaches reported more confidence and enjoyment in their sport. On the other hand, necessary attitudes from coaches led to lower confidence and even burnout in athletes.
The same is true of work. The more encouraging and empowering you are to your employees, the more they’ll feel energized, confident, and excited about work. 37% of employees 2 https://www.greatplacetowork.com/resources/blog/creating-a-culture-of-recognition said receiving more personal recognition would inspire them to do better work more often.
When giving a performance evaluation, it’s easy to fall into the trap of only focusing on what needs improvement. But, acknowledging what an employee is doing right is crucial for morale and motivation.
Action Step: Start your evaluation with a “wins” section. Celebrate the specific things the employee has done exceptionally well before diving into areas for improvement.
If the employee’s role involves specialized skills, consider including a subject-matter expert as an evaluator. This person can offer nuanced insights that a generalist manager might overlook.
Also, consider involving other team members, departments, or clients with a stake in the employee’s performance when relevant. Their input can be invaluable, and it ensures that multiple perspectives validate your expectations.
Documenting the process and the performance evaluation results is essential for future evaluations and tracking progress over time.
This way, you can look at progress across quarters and years.
Action Step: After the evaluation, summarize the key points discussed, the goals set, and the action items identified. Share this document with the employee and file it appropriately for future reference.
In the 360-degree feedback approach, evaluations come from all directions, not just top-down, from the manager.
Team members, subordinates, and sometimes even clients weigh in.
And, perhaps most importantly, the employee assesses themself. Providing clear questions for them to take an honest look at their output can prevent an employee’s self-evaluation from looking like this:
If you take a 360 approach, you can set up meetings with the relevant people a few weeks before the evaluation. Or you can send out anonymous feedback forms to help others quantify the impact of the employee.
The one drawback to remember, especially in a competitive workplace, is that peer ratings may skew negative for a performance evaluation (over a development meeting).
Action Step: Set up an anonymous performance evaluation form to send to your employees’ colleagues, subordinates, and clients to gather numerical ratings and qualitative reflections on their performance.
Navigating the intricacies of performance evaluations can take time and effort. However, once you understand the most common challenges, you can quickly overcome them, leading to the best possible evaluation meetings.
We’re all human, which means we all have biases. When we aren’t aware of our biases, they can cloud the best of judgments.
To overcome your biases, the first thing you can do is become familiar with them.
Here are some common biases to watch out for:
It’s tempting to slip into the “everyone gets an A!” approach. While it feels good to be everyone’s favorite boss in the short term, it doesn’t help identify areas for real improvement, making it a disservice to everyone in the long run.
To resist the urge to give everyone high marks, create a standardized scoring system that objectively assesses each key performance indicator.
Solution: While feelings can be part of your review, make sure there is a quantifiable scoring system. For soft skills, you could consider questions like, “On a scale of 1-10, how dependable is this employee?”
Managing underperforming employees is one of the tougher parts of your job. It can be hard to say something that might bruise someone’s ego or shake their confidence. And when that happens, you have to be prepared for some resistance.
But it’s important for you to be as honest as possible and to avoid sugar coating. And there are ways to state your employee feedback that are more likely to uplift rather than deflate.
Solutions :
For many companies, an employee performance evaluation is annual. But there are other approaches to ensure employees aren’t shooting in the dark for most of the year.
Consider more regular employee evaluations.
Employees in companies who have a continuous performance feedback process tend to outperform their competition at a 24% higher rate 8 https://www.betterworks.com/magazine/performance-management-survey/#:~:text=Overwhelmingly%2C%20respondents%20in%20organizations%20who,at%20a%2024%25%20higher%20rate. .
On top of that, HR teams of such companies are nearly 50% more satisfied 8 https://www.betterworks.com/magazine/performance-management-survey/#:~:text=Overwhelmingly%2C%20respondents%20in%20organizations%20who,at%20a%2024%25%20higher%20rate. with their performance management process. They are 24% more likely to recommend their evaluation process to others than annual review companies.
Here are a few options to consider.
This approach sidesteps the formal structure of scheduled employee performance reviews, opting for ongoing, informal feedback. This is often seen in smaller operations or startups with more dynamic environments.
The plus side of this approach is that it allows for real-time adjustments and improvements. Plus, it removes the anxiety and formality associated with traditional performance reviews.
On the flip side, the absence of formal reviews could lead to a lack of clarity around performance expectations. Important feedback could be missed or forgotten without scheduled checkpoints.
Think of pulse reviews as a Goldilocks solution—somewhere between annual reviews’ formality and continual feedback informality. These are quicker, less intensive reviews that occur more frequently on a monthly or quarterly schedule.
This frequency allows for timely course corrections and is more manageable than the comprehensive annual review.
But beware, because monthly reviews could become routine and lose impact if they aren’t executed thoughtfully.
The world of performance management can sometimes feel like a bowl of alphabet soup. Different terms often get used interchangeably, but they have unique flavors.
A performance review is often considered a subset of a performance evaluation. A performance review is typically more about dialogue and less formal than a full-blown evaluation. An appraisal is more of a “let’s talk about how it’s been going,” and an assessment is “let’s look at your output to see if it’s matching expectations.”
Performance reviews often coincide with formal evaluations but can also happen more frequently.
A performance improvement plan (PIP) is a formal document that outlines specific areas where employees need to improve their performance. They are usually only used when an employee is on the cusp of termination. PIPs set out clear objectives and timelines for improvement.
Looking for more management tips? Here are the top 5 management skills every manager should know:
A performance review assesses an employee’s work contributions, skills, and areas for growth. It’s vital for aligning individual performance with organizational goals, acknowledging good work, and setting the stage for future development.
The frequency of performance evaluations can vary, but a good rule of thumb is at least annually, though some companies opt for more frequent, even quarterly, check-ins. Regular evaluations keep everyone on the same page and allow timely course corrections.
The key elements of a successful performance evaluation include clear criteria, objective measurements of the quality of work and deliverables, and open, constructive dialogue. Think of it as a three-legged stool, each element supporting a balanced and practical evaluation.
Performance evaluations serve as a roadmap for employee development, pinpointing strengths to be leveraged and areas needing improvement. They are pivotal in planning targeted training and career advancement opportunities.
Challenges in the performance evaluation process can include biases, rating inflation, and managing underperformance. Navigating these effectively is essential for a fair and beneficial evaluation.
Managers and supervisors should rely on measurable metrics and gather diverse feedback to ensure fairness and objectivity in evaluations. It’s like adding layers of paint to a portrait; the more perspectives, the more nuanced and accurate the final image.
Best practices for providing constructive feedback during evaluations include being specific, offering actionable recommendations, and balancing positive with constructive points. Think of it as a sandwich: praise on the outside, constructive comments in the middle, all aimed at fueling growth. This can motivate them to want to improve their weaknesses.
Conducting performance evaluations can feel daunting. Where to start, and what to cover? Just remember to bring these topics into the conversation, and you’ll be in good shape:
Best of luck with these performance evaluations!
Also, if you’d like to boost your overall leadership skills, you might enjoy this article.
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Evaluating a project is key to understanding its performance and ways to improve. By checking how a project measures up against its goals, organizations can spot areas that need a boost, use resources more effectively, and make smart choices for future projects.
A pre-project evaluation is a critical step before initiating a project. This evaluation assesses the project plan, feasibility, and potential risks to ensure that all stakeholders have a shared understanding of objectives and goals, which guides effective project execution.
In this guide, we’ll explain the core parts of project evaluation, share some handy steps, and show how apps like Nifty can make the process more efficient.
Project evaluation is a systematic assessment of a project to determine its merit. It involves collecting and analyzing data to measure the project’s performance against its goals and project objectives.
A proper project evaluation aims to achieve three things:
Collecting and analyzing project data throughout different stages of project management is crucial for evaluating project effectiveness and monitoring progress.
Project evaluation is more than just a final report card. It is an ongoing process that provides insights for improvement. By understanding what worked and what did not, organizations can plan future projects, distribute resources for maximum impact, and show accountability.
Project evaluation criteria are the benchmarks used to measure project success. These standards provide a framework for performance and overall impact.
The main evaluation criteria include:
These criteria can be adapted to fit the specific context of a project. For example, a technology project might prioritize efficiency and effectiveness, while a social development project might focus on impact.
The process of project evaluation involves examining the project across various parameters to understand its effectiveness, efficiency, and overall value. The choice of evaluation method depends on the project’s goals, the resources available, and the specific insights required. Ongoing project evaluation is crucial for monitoring and assessing project performance throughout its lifecycle, ensuring that project goals, budget constraints, and scheduling milestones are met.
Here are some of the main evaluation methods used by companies:
Input evaluation focuses on the resources that were invested in the project. This includes the budget, personnel, and materials such as equipment and materials.
Weaknesses:
Process evaluation examines how the project was implemented. Parameters include management practices, teamwork, coordination among teams, and feedback from the project team.
Outcome evaluation measures the immediate results of the project, including tangible outputs such as products and services, and is a critical aspect of assessing the project’s performance.
Impact evaluation assesses the long-term effects of the project on the target audience. It includes understanding the broader changes that resulted from the project’s activities.
Cost-benefit analysis compares project costs to benefits to determine its overall value. It involves quantifying both the costs incurred and the benefits gained.
Strengths :
Weaknesses :
Logical Framework Analysis is a structured approach to planning, managing, and evaluating projects. It involves defining the project’s objectives, outputs, and activities and measuring them against the proper criteria.
Often, mixing different evaluation methods can give a fuller picture of a project’s performance. For instance, combining process evaluations with outcome evaluations helps to see not just how the project was carried out but also what it achieved.
Similarly, combining impact evaluations with cost-benefit analysis can show the project’s long-term value from multiple angles.
By using a mix of approaches, project managers and stakeholders can get a clearer view of a project’s effectiveness. They can spotlight areas that need improvement and make better decisions for future projects.
The project evaluation process involves several steps. Whether you’re defining project goals, planning data collection, or reporting results, Nifty has several features that can streamline and enhance evaluation efforts. Here are the six main steps. Post project evaluation is crucial in examining whether objectives were met and gathering lessons learned to inform future projects.
The first move in project evaluation is to define the project objectives and desired outcomes. These goals and objectives should be SMART: specific, measurable, achievable, relevant, and time-bound.
For instance, if a marketing team is launching a new product, a goal might be to increase product awareness by 20% within the first quarter.
Many apps have goal-setting templates that can help you establish and track these objectives effectively. This lays the foundation for a successful evaluation.
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After project goals are established, it is time to put down the specific aspects of the project to be evaluated. This step involves defining the evaluation boundaries, such as the phases, target audience, and KPIs.
Nifty’s collaborative features make it a great project scope management tool . Its features help outline the boundaries and key deliverables with the stakeholders.
A structured data collection plan is necessary for gathering information to assess project performance. With a centralized communication system , managers can streamline the decision-making process across teams and help people share ideas , gather feedback, and turn discussions into action.
This step includes documenting data sources, creating survey templates, and storing collected data for analysis.
Next, it is time to analyze data for insights and trends. That means organizing and interpreting data by using statistical methods. This step will assess project performance against established criteria.
The right online reporting tools empower organizations to collect, organize, analyze, and transform complex data into easy-to-understand graphs and charts.
The evaluation results must be reported to stakeholders to inform decisions and generate buy-in. An evaluation report needs to summarize findings, conclusions, and recommendations. Additionally, it is important to include updates on the project’s progress to keep stakeholders informed and engaged.
With Nifty’s MIro integration , you can easily create a Custom View of a project to ensure that the master plan can be easily referenced and followed.
Based on the findings, an action plan for improvement can be developed. It should involve identifying areas for improvement, setting new goals, and fine-tuning strategies.
Nifty’s task and milestone dependencies are a feature that many project managers use to create a roadmap for the future. It enables you to work out the optimal task order for the fastest route through the project.
As we have seen above, the steps for proper project evaluation can be complex, with many intersecting elements. A great way to simplify matters effectively is to use a pre-defined project evaluation template.
A project evaluation template is a tool to streamline the process by providing a structured format. The templates include sections for defining goals, tracking progress, analyzing data, and summarizing findings.
These templates can easily be created as Word Documents. There are various types of templates available , depending on the nature of the project and the type of evaluation.
By using such project evaluation templates, teams can maintain consistency, save time, and ensure a thorough assessment of projects.
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Project evaluation offers a wealth of advantages for organizations. By systematically assessing project performance, organizations can:
At the end of the day, project evaluation is a powerful tool for organizational learning and improvement. By means of thorough evaluation, organizations can enhance their ability to achieve goals and create impact.
Project evaluation is a valuable tool. That is why it is important to be aware of some common pitfalls that can compromise the results.
Some frequent mistakes include:
By avoiding the above mistakes, organizations can conduct effective and impactful project evaluations.
Following best practices in project evaluation helps ensure that the process is thorough, insightful, and actionable. Such practices can ensure that your evaluation provides a clear understanding of the project’s performance and areas for improvement.
The above section on project evaluation mistakes highlights four key aspects to focus on:
Clear Objectives : Defining specific, measurable, achievable, relevant, and time-bound (SMART) objectives is fundamental. They provide a foundation for assessing whether the project has met its goals and helps in measuring success.
Engaging Stakeholders : Actively involving stakeholders throughout the evaluation process ensures that their perspectives and insights are considered. It helps in understanding different viewpoints and increases the acceptance of the findings.
Communicating Findings : Effectively sharing the results of the evaluation is essential for making the information actionable. It involves presenting findings in a clear, concise manner to enhance understanding and decision-making.
Ensuring Action and Follow-Up : An evaluation is only as valuable as the actions taken. Ensuring that there is a plan for addressing the recommendations and following up on the progress helps in translating insights into tangible improvements.
That apart, here are some more best practices:
Develop a Comprehensive Evaluation Plan: Create a detailed evaluation plan that outlines the methods, tools, and metrics to be used. This plan should include:
Use a Mix of Evaluation Methods: Combine different evaluation methods (input, process, outcome, impact, cost-benefit, and logical framework analysis) to gain a 360-degree view of the project. This mixed-methods approach helps to capture various dimensions of project performance and provides a nuanced analysis.
Ensure Data Quality: Focus on collecting accurate, reliable, and relevant data. Implement rigorous data collection and validation procedures to minimize errors and biases. Use appropriate tools and techniques to analyze the data.
Analyze and Interpret Findings Carefully: Analyze the data thoroughly and interpret the results in the context of the evaluation objectives. Identify patterns, trends, and insights that can inform decision-making. Be mindful of the limitations of the data and the evaluation methods used.
Ensure Ethical Standards: Respect the privacy and confidentiality of participants, obtain necessary permissions, and ensure that the evaluation does not cause harm.
By following these best practices, you can enhance the effectiveness of project evaluations, generate valuable insights, and drive continuous improvement in project execution.
Project evaluation is an essential step in organizational learning and improvement. By following a structured process and utilizing tools like Nifty, organizations can maximize the value of their projects and achieve sustainable results.
Nifty offers a range of features to support your project evaluation and project implementation process :
To find out more about how your team can benefit from project evaluation, get in touch today.
Project monitoring and project evaluation serve separate purposes. Monitoring means the ongoing tracking of project activities, progress, and resource utilization against the project plan. It provides real-time information to identify potential issues and make necessary adjustments.
On the other hand, project evaluation is an in-depth assessment conducted at specific intervals or the conclusion. The focus is on determining the project’s overall effectiveness, impact, and efficiency. Monitoring provides corrective actions, and evaluation informs strategic decisions and future project planning.
The frequency of project evaluation depends on various factors. These include complexity, duration, and organizational goals.
One final evaluation might be sufficient for short-term, low-risk projects. However, for complex or high-impact projects, quarterly or bi-annual evaluations can provide more valuable insights. It is essential to strike a balance between the need for information and the resources required for evaluation. A well-planned evaluation schedule can ensure that project performance is consistently monitored and assessed.
A successful project evaluation involves a group of stakeholders. Core team members possess in-depth project knowledge and can provide firsthand insights. Management can offer a broader organizational perspective. Clients can share their experiences and satisfaction levels. External evaluators bring objectivity and expertise. By including different perspectives, organizations can gather comprehensive data and ensure a balanced evaluation.
To maximize the impact of project evaluation, it is crucial to focus on actionable recommendations. This involves clearly communicating evaluation findings to relevant stakeholders, identifying specific areas for improvement, and developing concrete action plans.
Engaging stakeholders in the evaluation process can foster ownership and commitment to implementing changes. Establishing a system for tracking and monitoring the implementation of recommendations can help ensure that evaluation efforts lead to tangible results.
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The skills you need to succeed in the era of large language models
Today artificial intelligence can be harnessed by nearly anyone, using commands in everyday language instead of code. Soon it will transform more than 40% of all work activity, according to the authors’ research. In this new era of collaboration between humans and machines, the ability to leverage AI effectively will be critical to your professional success.
This article describes the three kinds of “fusion skills” you need to get the best results from gen AI. Intelligent interrogation involves instructing large language models to perform in ways that generate better outcomes—by, say, breaking processes down into steps or visualizing multiple potential paths to a solution. Judgment integration is about incorporating expert and ethical human discernment to make AI’s output more trustworthy, reliable, and accurate. It entails augmenting a model’s training sources with authoritative knowledge bases when necessary, keeping biases out of prompts, ensuring the privacy of any data used by the models, and scrutinizing suspect output. With reciprocal apprenticing, you tailor gen AI to your company’s specific business context by including rich organizational data and know-how into the commands you give it. As you become better at doing that, you yourself learn how to train the AI to tackle more-sophisticated challenges.
The AI revolution is already here. Learning these three skills will prepare you to thrive in it.
Generative artificial intelligence is expected to radically transform all kinds of jobs over the next few years. No longer the exclusive purview of technologists, AI can now be put to work by nearly anyone, using commands in everyday language instead of code. According to our research, most business functions and more than 40% of all U.S. work activity can be augmented, automated, or reinvented with gen AI. The changes are expected to have the largest impact on the legal, banking, insurance, and capital-market sectors—followed by retail, travel, health, and energy.
The US government just hired a researcher who thinks we can beat aging with fresh cloned bodies and brain updates.
A US agency pursuing moonshot health breakthroughs has hired a researcher advocating an extremely radical plan for defeating death.
His idea? Replace your body parts. All of them. Even your brain.
Jean Hébert, a new hire with the US Advanced Projects Agency for Health ( ARPA-H ), is expected to lead a major new initiative around “functional brain tissue replacement,” the idea of adding youthful tissue to people’s brains.
President Joe Biden created ARPA-H in 2022, as an agency within the Department of Health and Human Services, to pursue what he called “bold, urgent innovation” with transformative potential.
The brain renewal concept could have applications such as treating stroke victims, who lose areas of brain function. But Hébert, a biologist at the Albert Einstein school of medicine, has most often proposed total brain replacement, along with replacing other parts of our anatomy, as the only plausible means of avoiding death from old age.
As he described in his 2020 book, Replacing Aging, Hébert thinks that to live indefinitely people must find a way to substitute all their body parts with young ones, much like a high-mileage car is kept going with new struts and spark plugs.
The idea has a halo of plausibility since there are already liver transplants and titanium hips, artificial corneas and substitute heart valves. The trickiest part is your brain. That ages, too, shrinking dramatically in old age. But you don’t want to swap it out for another—because it is you.
And that’s where Hébert's research comes in. He’s been exploring ways to “progressively” replace a brain by adding bits of youthful tissue made in a lab. The process would have to be done slowly enough, in steps, that your brain could adapt, relocating memories and your self-identity.
During a visit this spring to his lab at Albert Einstein, Hébert showed MIT Technology Review how he has been carrying out initial experiments with mice, removing small sections of their brains and injecting slurries of embryonic cells. It’s a step toward proving whether such youthful tissue can survive and take over important functions.
To be sure, the strategy is not widely accepted, even among researchers in the aging field. “On the surface it sounds completely insane, but I was surprised how good a case he could make for it,” says Matthew Scholz, CEO of aging research company Oisín Biotechnologies, who met with Hébert this year.
Scholz is still skeptical though. “A new brain is not going to be a popular item,” he says. “The surgical element of it is going to be very severe, no matter how you slice it.”
Now, though, Hébert's ideas appear to have gotten a huge endorsement from the US government. Hébert told MIT Technology Review that he had proposed a $110 million project to ARPA-H to prove his ideas in monkeys and other animals, and that the government “didn’t blink” at the figure.
ARPA-H confirmed this week that it had hired Hébert as a program manager.
The agency, modeled on DARPA, the Department of Defense organization that developed stealth fighters, gives managers unprecedented leeway in awarding contracts to develop novel technologies. Among its first programs are efforts to develop at-home cancer tests and cure blindness with eye transplants .
President Biden created ARPA-H in 2022 to pursue “bold, urgent innovation” with transformative potential.
It may be several months before details of the new project are announced, and it’s possible that ARPA-H will establish more conventional goals like treating stroke victims and Alzheimer’s patients, whose brains are damaged, rather than the more radical idea of extreme life extension.
“ If it can work, forget aging; it would be useful for all kinds of neurodegenerative disease,” says Justin Rebo, a longevity scientist and entrepreneur.
But defeating death is Hébert's stated aim. “I was a weird kid and when I found out that we all fall apart and die, I was like, ‘Why is everybody okay with this?’ And that has pretty much guided everything I do,” he says. “I just prefer life over this slow degradation into nonexistence that biology has planned for all of us.”
Hébert, now 58, also recalls when he began thinking that the human form might not be set in stone. It was upon seeing the 1973 movie Westworld , in which the gun-slinging villain, played by Yul Brynner, turns out to be an android. “That really stuck with me,” Hébert said.
Lately, Hébert has become something of a star figure among immortalists, a fringe community devoted to never dying. That’s because he’s an established scientist who is willing to propose extreme steps to avoid death. “A lot of people want radical life extension without a radical approach. People want to take a pill, and that’s not going to happen,” says Kai Micah Mills, who runs a company, Cryopets, developing ways to deep-freeze cats and dogs for future reanimation.
The reason pharmaceuticals won’t ever stop aging, Hébert says, is that time affects all of our organs and cells and even degrades substances such as elastin, one of the molecular glues that holds our bodies together. So even if, say, gene therapy could rejuvenate the DNA inside cells, a concept some companies are exploring , Hébert believes we’re still doomed as the scaffolding around them comes undone.
One organization promoting Hébert's ideas is the Longevity Biotech Fellowship (LBF), a self-described group of “hardcore” life extension enthusiasts, which this year published a technical roadmap for defeating aging altogether. In it, they used data from Hébert's ARPA-H proposal to argue in favor of extending life with gradual brain replacement for elderly subjects, as well as transplant of their heads onto the bodies of “non-sentient” human clones, raised to lack a functioning brain of their own, a procedure they referred to as “body transplant.”
Such a startling feat would involve several technologies that don’t yet exist, including a means to attach a transplanted head to a spinal cord. Even so, the group rates “replacement” as the most likely way to conquer death, claiming it would take only 10 years and $3.6 billion to demonstrate.
“It doesn’t require you to understand aging,” says Mark Hamalainen, co-founder of the research and education group. “That is why Jean’s work is interesting.”
Hébert's connections to such far-out concepts (he serves as a mentor in LBF’s training sessions) could make him an edgy choice for ARPA-H, a young agency whose budget is $1.5 billion a year.
For instance, Hebert recently said on a podcast with Hamalainen that human fetuses might be used as a potential source of life-extending parts for elderly people. That would be ethical to do, Hébert said during the program, if the fetus is young enough that there “are no neurons, no sentience, and no person.” And according to a meeting agenda viewed by MIT Technology Review , Hébert was also a featured speaker at an online pitch session held last year on full “body replacement,” which included biohackers and an expert in primate cloning.
Hébert declined to describe the session, which he said was not recorded “out of respect for those who preferred discretion.” But he’s in favor of growing non-sentient human bodies. “I am in conversation with all these groups because, you know, not only is my brain slowly deteriorating, but so is the rest of my body,” says Hébert. “I'm going to need other body parts as well.”
The focus of Hébert's own scientific work is the neocortex, the outer part of the brain that looks like a pile of extra-thick noodles and which houses most of our senses, reasoning, and memory. The neocortex is “arguably the most important part of who we are as individuals,” says Hébert, as well as “maybe the most complex structure in the world.”
There are two reasons he believes the neocortex could be replaced, albeit only slowly. The first is evidence from rare cases of benign brain tumors, like a man described in the medical literature who developed a growth the size of an orange. Yet because it grew very slowly, the man’s brain was able to adjust, shifting memories elsewhere, and his behavior and speech never seemed to change—even when the tumor was removed.
That’s proof, Hébert thinks, that replacing the neocortex little by little could be achieved “without losing the information encoded in it” such as a person’s self-identity.
The second source of hope, he says, is experiments showing that fetal-stage cells can survive, and even function, when transplanted into the brains of adults. For instance, medical tests underway are showing that young neurons can integrate into the brains of people who have epilepsy and stop their seizures.
“It was these two things together—the plastic nature of brains and the ability to add new tissue—that, to me, were like, ‘Ah, now there has got to be a way,’” says Hébert.
“I just prefer life over this slow degradation into nonexistence that biology has planned for all of us.”
One challenge ahead is how to manufacture the replacement brain bits, or what Hebert has called “facsimiles” of neocortical tissue. During a visit to his lab at Albert Einstein, Hébert described plans to manually assemble chunks of youthful brain tissue using stem cells. These parts, he says, would not be fully developed, but instead be similar to what’s found in a still-developing fetal brain. That way, upon transplant, they’d be able to finish maturing, integrate into your brain, and be “ready to absorb and learn your information.”
To design the youthful bits of neocortex, Hébert has been studying brains of aborted human fetuses 5 to 8 weeks of age. He’s been measuring what cells are present, and in what numbers and locations, to try to guide the manufacture of similar structures in the lab.
“What we're engineering is a fetal-like neocortical tissue that has all the cell types and structure needed to develop into normal tissue on its own,” says Hébert.
Part of the work has been carried out by a startup company, BE Therapeutics (it stands for Brain Engineering), located in a suite on Einstein’s campus and which is funded by Apollo Health Ventures, VitaDAO, and with contributions from a New York State development fund . The company had only two employees when MIT Technology Review visited this spring, and the its future is uncertain, says Hébert, now that he’s joining ARPA-H and closing his lab at Einstein.
Because it’s often challenging to manufacture even a single cell type from stem cells, making a facsimile of the neocortex involving a dozen cell types isn’t an easy project . In fact, it’s just one of several scientific problems standing between you and a younger brain, some of which might never have practical solutions. “There is a saying in engineering. You are allowed one miracle, but if you need more than one, find another plan,” says Scholz.
Maybe the crucial unknown is whether young bits of neocortex will ever correctly function inside an elderly person’s brain, for example by establishing connections or storing and sending electro-chemical information. Despite evidence the brain can incorporate individual transplanted cells, that’s never been robustly proven for larger bits of tissue, says Rusty Gage, a biologist at the Salk Institute in La Jolla, Calif., and who is considered a pioneer of neural transplants. He says researchers for years have tried to transplant larger parts of fetal animal brains into adult animals, but with inconclusive results. “If it worked, we’d all be doing more of it,” he says.
The problem, says Gage, isn’t whether the tissue can survive, but whether it can participate in the workings of an existing brain. “I am not dissing his hypothesis. But that’s all it is,” says Gage. “Yes, fetal or embryonic tissue can mature in the adult brain. But whether it replaces the function of the dysfunctional area is an experiment he needs to do, if he wants to convince the world he has actually replaced an aged section with a new section.”
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Combating pathogens using carbon-fiber ionizers (cfis) for air purification: a narrative review.
2. material and methods, 3. database search results, 4. discussion, 4.1. defining the testing protocols and parameter reporting for a consistent research approach, 4.2. air ionization and microorganisms—a familiar interplay, 4.3. the other side of the coin: how to avoid harmful byproducts of air ionization, 4.4. carbon-fiber ionizers: the pros and cons, 4.5. possible challenges in the development of real-world cfi-based air purification systems, 4.6. effectiveness of air ionization in comparison with other pathogen mitigation measures, 4.7. limitations.
Author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.
Click here to enlarge figure
Microorganism | Outcome of Ionization * | Ion Type and Performance | Ozone Levels | References |
---|---|---|---|---|
Surrogates (particle sizes equivalent to pathogen dimensions) | Particle deposition | − ions better than bipolar ions | <5 ppb | [ ] |
Staphylococcus epidermidis, Escherichia coli | Microbial destruction (membrane disruption) | + ions better than − ions | <10 ppb | [ ] |
Staphylococcus epidermidis, Escherichia coli | Microbial destruction (membrane disruption) | + ions | 21.8–26.0 ppb | [ ] |
Staphylococcus epidermidis, Escherichia coli (see also viruses) | Microorganism inactivation | − ions | 3.0–3.5 ppb (emission rate 0.026 mg/h) | [ ] |
Staphylococcus epidermidis | Antibacterial effect Cell contraction | Bipolar ions eliminate bacteria Unipolar (+) activity not antibacterial | <25 ppb | [ ] |
Staphylococcus epidermidis, Serratia marcescens | Microbial inactivation | − ions | 68 ppb | [ ] |
Staphylococcus aureus, Escherichia coli, Bacillus subtilis, Enterococcus faecalis | Potent bactericidal effect | − and + air ions | ~35 ppb | [ ] |
Staphylococcus aureus | Microbial deposition Microbial destruction | − ions better than + ions | Not measured | [ ] |
Staphylococcus aureus, Escherichia coli | Decreased viability -On Petri dishes (10 CFU/mL): S. aureus up to 86% after 3 h exposure and 95% after 8–12 h; E. coli up to 51% after 3 h exposure and 70% after 8–12 h; -On filters soaked with 10 CFU/mL: S. aureus up to 78% on PP filters and 82% on PET filters after 3 h; E. coli up to 52% on PP filters and PET filters after 3 h. | − and + air ions | N/A | [ ] |
Staphylococcus aureus, Escherichia coli | Agglutination of microbial products, removed from air, microbicidal effects. More noticeable effect on gram + bacteria Exceptional antibacterial activity via oxidative damage | − and + air ions | Only passively mentioned | [ ] |
Staphylococcus aureus, Escherichia coli | Bactericidal, more noticeable effect on gram-bacteria | − air ionization with oxidation effect | N/A | [ ] |
Escherichia coli | Enhanced pathogenic removal efficiency | + ions | N/A | [ ] |
Escherichia coli (see also viruses) | Complete inactivation with more than a 5-log reduction (99.999%) in 90 min | bipolar | <24 ppb | [ ] |
Escherichia coli (see also fungi) | Pre-charging enhances collection efficiency | − ions | N/A | [ ] |
Pseudomonas fluorescens, Bacillus atropheus (see also fungi) | Particle deposition (microorganism viability not measured) | − ions | 39 ppb | [ ] |
Pseudomonas fluorescens, Bacillus anthracis (see also fungi) | Easier and more efficient collection (from 70% without charge to 80–90%) | + ions | N/A | [ ] |
Pseudomonas fluorescens | Synergistic bactericidal action (decreased microbial load), morphologically deformed | Combined − air ions and C. citratus essential oil vapor | N/A | [ ] |
Pseudomonas fluorescens, Erwinia carotovora, Escherichia coli | Bactericidal effect, P. fluorescens most vulnerable | − air ions | Yes (noted synergy between ozone and NAIs) | [ ] |
Escherichia coli | Antibacterial | Released + ions from copper/silver (metals proved to be synergistic) | N/A | [ ] |
Escherichia coli | Disinfection | − ions generated by a cold plasma tube | No ozone, but oxygen species and oxygen-containing radicals, UV-C, and short-term heating of microorganisms | [ , ] |
Escherichia coli | Inactivate and decontaminate E. coli via oxidation | − and + ions, free radicals, all fall into the category of the fourth state of matter (cold plasma) | Harnessed ozone as part of the study to maximize disinfection | [ ] |
Serratia marcescens | Significant bactericidal effects | − and + air ions (NAIs showing slightly stronger repercussions) | N/A | [ ] |
Pseudomonas veronii | Destroyed cells in a starved, and thus highly impenetrable, state via the predicted ionic porous formation of the cell wall (due to ion accumulation on surface) | Both − and + ions of electric corona | N/A | [ ] |
Bacillus subtilis | Antimicrobial effects, reduced number of bioaerosols | − air ions created by ionizer, tested with concurrent ozone | Yes | [ ] |
Campylobacter jejuni, E. coli, Salmonella enteritidis, Listeria monocytogenes, Staphylococcus aureus, Bacillus stearothermophilu | Significantly decreased microbial load (levels in biofilm) | Supercharged − air ions | N/A | [ ] |
Mycobacterium parafortuitum | Cell inactivation and biocidal qualities via electroporous mechanisms | − air ions | Yes, but not the principal cause of destruction | [ ] |
Mycobacterium tuberculosis | Prevented most airborne TB | − air ions | N/A | [ ] |
Legionella | Ions find the − charged cell walls of pathogens and destroy them | + ions in water systems | N/A | [ , , , ] |
Salmonella enteritidis | Statistically significant decrease in infection via airborne transmission, attracted to ground surfaces, direct organism killing | − air ions | N/A | [ , , ] |
Staphylococcus albus | Bactericidal effects | − air ions in synergy with superoxide radical anion | Inadvertently, as superoxide radicals may be chain carriers for ozonation (O decomposition) and since it has been remarked that ozone and superoxide combine in corona discharge | [ ] |
Clostridioides difficile, drug-resistant strains of Staphylococcus aureus, Pseudomonas aeruginosa, and Klebsiella pneumoniae (see also fungi and viruses) | Reduction Bacteria 94.4–99.9%; Virus 94%; | bipolar | 22–66 ppb | [ ] |
Bacterial/viral agents | Same polarity of ions on respiratory protective masks (N95 and surgical) leads to electrostatic protection | − ions | N/A | [ ] |
Bacteria (review) | Bactericidal effects | − ions | N/A | [ ] |
Penicillium notatum | Lowered penicillin production (mostly by − ions), reduced germination of spores (mostly by + ions), lowered CO production | − and + air ions | N/A | [ ] |
Penicillium chrysogenum (see also bacteria) | Particle deposition (microorganism viability not measured) | − ions | 39 ppb | [ ] |
Penicillium brevicompactum (see also bacteria) | Easier and more efficient collection (from 70% without charge to 80–90%) | + ions | N/A | [ ] |
Aspergillus fumigatus, Candida albicans (see also bacteria and viruses) | Reduction Fungi 32.4–87.3% | bipolar | 22–66 ppb | [ ] |
Candida albicans (see also bacteria) | Pre-charging enhances collection efficiency | − ions | N/A | [ ] |
Candida albicans (10 strains) | Inhibited growth | − air ions | Yes, additionally hypothesizes potential microbicidal role of ozone | [ ] |
H5N1 avian influenza virus | Neutralizes up to 26% of airborne pathogens | − ions | <50 ppb | [ , ] |
RNA/DNA Viruses | Free ionic Ag+ inactivated ssRNA MS2 and ssDNA PhiX 174 (specifically in neutral and alkaline environments) | + charged copper/silver ions in water, synergistic effect | N/A | [ ] |
SARS-CoV-2 | Reduced aerosolized pathogens | − ions created by plant-based ionizer | No ozone detected | [ ] |
SARS-CoV-2 | Pathogens agglutinate and ‘fall’ down | − ions | Varies between generations/low concentration | [ , ] |
SARS-CoV-2 and Influenza A virus | Inactivation—fixed on surfaces: >99.98% after 1 h of exposure; Disinfection—aerosolized: after 10 min of exposure at a 30 cm height—89.96% for SARS-CoV-2 and 91.27% for influenza A virus. At a 50 cm height, 87.77% for SARS-CoV-2 and 89.50% for the influenza A virus. | − ions | <50 ppb | [ ] |
Human coronavirus 229E | Reduction Virus 94%; | bipolar | 22–66 ppb | [ ] |
Newcastle disease virus | Facilitate pathogenic aerosol decay, wire-gauze completely prevented transmission | − ions | N/A | [ , ] |
MS2 phage (see also bacteria and fungi) | Complete inactivation with more than a 5-log reduction (99.999%) in 30 min | bipolar | <24 ppb | [ ] |
MS2 bacteriophage, H1N1 influenza virus | Particle deposition | − ions | ~10 ppb (varying) | [ ] |
MS2 bacteriophage | Microbial inactivation | − ions | 1.6 ppb | [ ] |
MS2 bacteriophage | Reduction unipolar ions: 46.1%, 78.8%, and 83.7% after 15, 30, and 45 min of exposure, respectively, and up to 97.4% for bipolar ions | bipolar better than unipolar | unipolar ions: 2–10 ppb; bipolar ions: ~30 ppb | [ ] |
virus (P22 and Φ6 bacteriophages) (see also bacteria) | Microorganism inactivation | − ions | 3.0–3.5 ppb (emission rate 0.026 mg/h) | [ ] |
Φ6 bacteriophage (SARS-CoV-2 surrogate) | Particle removal Antiviral performance | − ions | Did not measure | [ ] |
Canine calicivirus (CaCV), rhesus rotavirus (RRV), influenza A virus (H3N2) | Reduced infectivity of aerosolized CaCV and RRV (>97%); Active ionizer prevented 100% of guinea pigs from infection by H3N2. | − ions | <2 ppb | [ ] |
Air contaminants Removal Technology | Benefits | Limitations | Representative Examples |
---|---|---|---|
HEPA (High Efficiency Particulate Air) filters | [ , , , , ] | ||
UVGI (UltraViolet Germicidal Irradiation) | [ , , , , ] | ||
Ionizers also producing ozone | [ , , , , ] | ||
Ionizers with negligible ozone production | [ , , , , ] |
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Radalj, A.; Nikšić, A.; Trajković, J.; Knezević, T.; Janković, M.; De Luka, S.; Djoković, S.; Mijatović, S.; Ilić, A.; Arandjelović, I.; et al. Combating Pathogens Using Carbon-Fiber Ionizers (CFIs) for Air Purification: A Narrative Review. Appl. Sci. 2024 , 14 , 7311. https://doi.org/10.3390/app14167311
Radalj A, Nikšić A, Trajković J, Knezević T, Janković M, De Luka S, Djoković S, Mijatović S, Ilić A, Arandjelović I, et al. Combating Pathogens Using Carbon-Fiber Ionizers (CFIs) for Air Purification: A Narrative Review. Applied Sciences . 2024; 14(16):7311. https://doi.org/10.3390/app14167311
Radalj, Andrea, Aleksandar Nikšić, Jelena Trajković, Tara Knezević, Marko Janković, Silvio De Luka, Stefan Djoković, Stefan Mijatović, Andjelija Ilić, Irena Arandjelović, and et al. 2024. "Combating Pathogens Using Carbon-Fiber Ionizers (CFIs) for Air Purification: A Narrative Review" Applied Sciences 14, no. 16: 7311. https://doi.org/10.3390/app14167311
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Long before she devoted her life to studying mosquitoes, Corine Ngufor knew their scourge. Growing up in Cameroon, “I was condemned to suffer from malaria,” she says. “My siblings and I would just keep having malaria and malaria and malaria . Just about everyone did.”
A medical entomologist with a Ph.D. from the London School of Hygiene & Tropical Medicine and a passion for public health, Ngufor leads a Benin-based lab that investigates a variety of products aimed at controlling mosquitoes that carry malaria across the African continent .
She didn’t set out to spend her days thinking about insects—she had actually envisioned a career in the physical or mathematical sciences. But after getting a chance to collect mosquitoes at field sites during her undergraduate years, she was hooked.
It’s hardly surprising, then, that Ngufor would go on to play a big role in developing one of the most effective innovations in malaria prevention to emerge in the past decade.
When people think about innovation, they often focus on future breakthroughs: the next big scientific discovery or technology that’s going to revolutionize everything. But Ngufor’s landmark innovation is one that’s been available for several years and has already saved a stunning number of lives. Today, I’m going to tell you more about why the product she helped create is so remarkable.
Before we get into Ngufor’s research, a quick bit of background:
Between 1980 and 2000, malaria was on the rise. By the early 2000s, it was killing 800,000 to 900,000 people a year , most of them children. Two key innovations began to really turn things around: bed nets treated with an insecticide called pyrethroid, and indoor spraying with long-lasting insecticide. Starting around 2005, malaria cases and deaths began to steadily and substantially decline. Some say bed nets alone have been responsible for 68% of the reduction , saving an estimated 7.6 million lives over two decades.
Unfortunately, mosquitoes are wildly adaptable. Over time, they began to develop resistance to pyrethroid. In 2020, malaria cases and deaths began rising again .
To stay ahead of these adaptable creatures, humans had to keep innovating. One potential solution was creating dual-insecticide nets : nets treated with pyrethroid and a second insecticide. But which one? For a variety of reasons, finding the right insecticide was extremely difficult. One expert has noted that researchers had already eliminated millions of potential options.
That’s where Ngufor and her lab came in. They began testing an insecticide called chlorfenapyr, which, among other things, acts in a very different way than pyrethroids. Instead of targeting the mosquitoes’ nervous system, it blocks their ability to produce energy. When they can’t fly, they die.
The scientific path forward wasn’t easy. Initially, the lab data wasn’t promising. Chlorfenapyr just wasn’t killing very many mosquitoes in lab tests. The researchers tried using a different polymer to bind the insecticide to the nets. Working with the manufacturer, they tested nets made from different types or combinations of materials. Still, the chlorfenapyr wasn’t killing enough mosquitoes.
“At some point, I thought we might have to give up,” Ngufor says. “But we also knew that the options out there were few, so it was important to make sure we tried everything.”
Finally, they began to consider how lab conditions differ from the real world . For example, lab tests are generally conducted during the day, but mosquitoes are most metabolically active at night and when looking for people to bite; lab tests are time-limited (based on the fast-acting nature of pyrethroids), but the effects of chlorfenapyr require a little more time.
The team needed to test under conditions more closely resembling the real world. So they turned to experimental huts. The huts were standardized, with specially designed entry points that allowed mosquitoes to get in but not get out. Adult volunteers would sleep in a hut under a net, and the next morning technicians would collect the mosquitoes—tallying how many got in, how many were dead, and how many had fed on blood.
“That way, you can have an estimate of the mortality rate and get a sense of how effective the intervention is,” Ngufor says.
The team counted a lot of dead mosquitoes from the huts. The mood at the lab improved dramatically. And statistical analysis suggested that the dual-treated nets would work even better in real life than in the lab tests. But Ngufor wasn’t quite ready to share the news.
“We wanted to contain our excitement at first,” she says. They double-checked their analysis. When they were confident of the results, they shared their findings broadly .
It had been six years since Ngufor began testing chlorfenapyr in the lab. But there was more work to be done.
The nets, now manufactured under the name Interceptor ® G2 (IG2), had to be tested in randomized controlled trials. In the first key study, conducted in Tanzania, the pyrethroid-chlorfenapyr nets performed significantly better than pyrethroid nets alone— cutting malarial infections among children by almost half . Anytime you can make gains against a disease like malaria that affects so many children, it’s a win. But this reduction was incredible.
To ensure that the nets could be used in the regions that needed them most, the World Health Organization had to weigh in. That process required even more study. Subsequent controlled trials, including one in Benin that Ngufor helped design , showed results similar to the trial in Tanzania.
A last hurdle remained: IG2 nets cost more than pyrethroid-only ones. Researchers looked at the cost of treating the malaria cases that would have arisen without the IG2 nets and found that the new nets would actually save money in the long run.
In 2023, WHO made a strong recommendation in favor of the pyrethroid-chlorfenapyr nets over pyrethroid-only nets, based the new nets’ life-saving potential as well as cost-effectiveness. This was the first time WHO had issued such a recommendation for a new insecticide formulation.
It was a moment for celebration in Ngufor’s lab, and also a moment for reflection. “It shows that, as scientists, we really have to try everything before we give up on an intervention,” she says. “It was a really big lesson in my career.”
Now that the IG2 nets are being used in the real world, outside of clinical trial settings, their incredible impact is clear. That’s a big deal. One large pilot project in 17 countries, funded by Unitaid and the Global Fund to Fight AIDS, Tuberculosis and Malaria, found that the nets prevented 13 million malaria cases between 2019 and 2022 , saving an estimated 25,000 lives .
Ngufor says, “I want to see how I can contribute to further driving down that curve.” She’s among many researchers who believe that malaria eradication is achievable. They also know that one innovation alone, no matter how good, won’t get us there.
The Bill & Melinda Gates Foundation has funded malaria work since the early 2000s, and we’re continuing to support it in various ways, including by:
New tools are important, but real-time, high-quality data is also essential to stop malaria. We support organizations that are developing more sophisticated monitoring systems to better track and target mosquito vectors.
Of course, mosquitoes are crafty, and they continue to adapt. At some point, they’ll adapt to chlorfenapyr. Constant vigilance is critical. As Ngufor says, “You always have to think ahead of the mosquito.”
Continuous innovation needed to eliminate malaria, why the interceptor g2 net could be a game changer for malaria eradication.
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It doesn’t often feel as if we’re living in empathetic times.
That increase in empathy can be undermined by our cynicism toward each other, according to Jamil Zaki , a professor of psychology at Stanford University who is also director of the Stanford Social Neuroscience Lab.
People often believe that “their craving for a more empathetic community is theirs alone when other people all around them also want the same thing,” said Zaki, author of “The War for Kindness: Building Empathy in a Fractured World.” This mistaken belief weakens conversations by creating biased views before you even start talking.
People sometimes have an inaccurate sense of what other people think.
That’s why “gaining a more accurate perspective on who is surrounding us right now can make us more hopeful about how we can build a better future together,” Zaki said.
Read the whole story (subscription may be required): CNN
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Suspicion probes are meant to inform researchers about how participants’ beliefs may have influenced the outcome of a study, but it remains unclear what these unverified probes are really measuring or how they are currently being used.
Social psychologist Elizabeth Necka shares her experiences as a program officer at the National Institute on Aging.
Imagine that we designed a fully intelligent, autonomous robot that acted on the world to accomplish its goals. How could we make sure that it would want the same things we do? Alison Gopnik explores. Read or listen!
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IMAGES
COMMENTS
Definition: Evaluating Research refers to the process of assessing the quality, credibility, and relevance of a research study or project. This involves examining the methods, data, and results of the research in order to determine its validity, reliability, and usefulness. Evaluating research can be done by both experts and non-experts in the ...
Judge the scope of the project. Reevaluate the research question based on the nature and extent of information available and the parameters of the research project. Select the most appropriate investigative methods (surveys, interviews, experiments) and research tools (periodical indexes, databases, websites). Plan the research project.
Evaluation research, also known as program evaluation,refers to research purpose instead of a specificmethod. Evaluation research is the systematic assessment of the worth or merit of time, money, effort and resources spent in order to achieve a goal. Evaluation research is closely related to but slightly different from more conventional social ...
Without effective strategies for implementation of evidence-based recommendations it is unlikely that evidence-based practice will improve the quality of care, reduce practice variation and/or reduce cost. The importance of the implementation strategy to the effective use of evidence-based practice has been recognised by numerous authors [7, 8 ...
Overall, evaluators believed research and evaluation intersect, whereas researchers believed evaluation is a subcomponent of research. Furthermore, evaluators perceived greater differences between evaluation and research than researchers did, particularly in characteristics relevant at the beginning (e.g., purpose, questions, audience) and end ...
Evaluation 101 provides resources to help you answer those questions and more. You will learn about program evaluation and why it is needed, along with some helpful frameworks that place evaluation in the broader evidence context. Other resources provide helpful overviews of specific types of evaluation you may encounter or be considering ...
As programs and interventions continue to evolve and become more complex, there is a need for continued research and innovation in effectiveness evaluation. Future directions for effectiveness evaluation research and practice should focus on incorporating new data sources, emphasizing stakeholder engagement, advancing evaluation methods ...
Evaluation is a process that critically examines a program. It involves collecting and analyzing information about a program's activities, characteristics, and outcomes. Its purpose is to make judgments about a program, to improve its effectiveness, and/or to inform programming decisions (Patton, 1987).
How to Improve Your Research Skills: 6 Research Tips. Written by MasterClass. Last updated: Aug 18, 2021 • 3 min read. Whether you're writing a blog post or a short story, you'll likely reach a point in your first draft where you don't have enough information to go forward—and that's where research comes in.
The example in Fig. 2 illustrates that Research emanates from at least one Question at Hand, and aims for at least one piece of New Knowledge.According to our definition (concept model), you cannot call something Research if it is not aiming for New Knowledge and does not emanate from a Question at Hand.This is the way we define the concept in concept modelling, and this small example only ...
The five prerequisites for effective evaluation in education are: Start with a clear and measurable statement of objectives. Develop a theory about how program activities will lead to improved outcomes (i.e. a program logic) and structure the evaluation questions around that logic. Let the evaluation questions determine the evaluation method.
Evaluate the Evidence Listed. If you're just starting your research, you might look for sources that include more general information. However, the deeper you get into your topic, the more comprehensive your research will need to be. If you're reading an opinion-based source, ask yourself whether there's enough evidence to back up the ...
The primary goal of evaluation is to understand the significance and value of a source in relation to other sources and your own thinking on a topic. Note that some evaluative questions will be more important than others depending on your needs as a researcher. Figuring out which questions are important to ask in a given situation is part of ...
Accessed 2016. Information literacy is a set of abilities requiring individuals to "recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information." 1 Information literacy also is increasingly important in the contemporary environment of rapid technological change and proliferating ...
The choice of evaluation methodology depends on the specific goals of the evaluation, the type and level of data required, and the resources available for conducting the evaluation. The importance of evaluation methodologies lies in their ability to provide evidence-based insights into the performance and impact of the subject being evaluated.
An effective impact evaluation begins with the formulation of one or more clear questions driven by the purpose of the evaluation and what you and your stakeholders want to learn. ... and routinely shared for research and evaluation purposes, eg, secondary care data in England (Hospital Episode Statistics), or Medicare Claims data in the United ...
REMEMBER: If you are using the internet for research, it is especially important to evaluate the accuracy and authority of the information you find there. Search engines, like Google, find web sites of all levels of quality. Keep these things in mind when deciding if a web page is reliable and appropriate for your research: authority/credibility
1.2 Definitions of Information Literacy. Information literacy is the ability to locate, evaluate, interpret, and effectively use information from various sources and in diverse formats. It encompasses the skills, knowledge, and attitudes required to navigate the complex information landscape of today's world.
Abstract. This paper aims to provide an overview of the use and assessment of qualitative research methods in the health sciences. Qualitative research can be defined as the study of the nature of phenomena and is especially appropriate for answering questions of why something is (not) observed, assessing complex multi-component interventions ...
Ironically, IDEA Research Report #1 also finds that the objectives identified as emphasizing lifelong learning (Learning to find and use resources, and Gave tests/projects that covered most important points) were identified as "Important" or "Essential" in only about 30% of the classes using IDEA. The ACRL (1) notes, "Information ...
Context, input, process, and product evaluation model (CIPP): Also called the Stufflebeam model, this model for evaluating training effectiveness assesses four aspects of a training program (context, input, process, and product) to determine its efficacy in meeting business objectives. Other relevant models include the learning-transfer ...
Action Step: List your key skills and how they have positively impacted your work. Think of specific instances where your skills made a difference - a problem you solved, a project you led successfully, or a challenging situation you navigated easily. Be ready to share these examples during your evaluation.
Evaluating a project is key to understanding its performance and ways to improve. By checking how a project measures up against its goals, organizations can spot areas that need a boost, use resources more effectively, and make smart choices for future projects. A pre-project evaluation is a critical step before initiating a project.
To avoid missteps, you need to separate causation from correlation and control for confounding factors. You should examine the sample size and setting of the research and the period over which it ...
Soon it will transform more than 40% of all work activity, according to the authors' research. ... This article describes the three kinds of "fusion skills" you need to get the best results ...
The brain renewal concept could have applications such as treating stroke victims, who lose areas of brain function. But Hébert, a biologist at the Albert Einstein school of medicine, has most ...
An official website of the United States government. Here's how you know
The literature review highlights the need for comprehensive studies to evaluate the real-world application and effectiveness of CFIs. ... seeks to offer an updated understanding of CFIs' antimicrobial capabilities and to identify limitations in current research, paving the way for more informed and effective air purification strategies ...
For example, lab tests are generally conducted during the day, but mosquitoes are most metabolically active at night and when looking for people to bite; lab tests are time-limited (based on the fast-acting nature of pyrethroids), but the effects of chlorfenapyr require a little more time. The team needed to test under conditions more closely ...
APS regularly opens certain online articles for discussion on our website. Effective February 2021, you must be a logged-in APS member to post comments. By posting a comment, you agree to our Community Guidelines and the display of your profile information, including your name and affiliation. Any opinions, findings, conclusions, or ...