OR
: PICO is one option, there are other frameworks you can use too! |
Use the interactive PICO worksheet to get started with your question, or you can download the worksheet document.
Here are some different frameworks you may want to use:
opulation ( atient), ntervention, omparison ( ontrol) and utcome. Add a imeframe if required. Used particularly for treatment type questions. | |
A variation of PICO where = xposure and = imeframe if required. | |
Developed in the context of practice guideline adaptation. Includes = rofessionals/ atients, = utcome and = ealthcare Setting. | |
= etting (where), = erspective (for whom), = ntervention (what), = omparison (compared with what), = valuation (Booth 2006). | |
= ample, = henomenon of interest, = esign, = valuation, = esearch type. Useful for qualitative or mixed method studies (Cooke, Smith and Booth 2012). | |
= Expectations, = lient group, = ocation, = Impact, = rofession, = ervice (Wildridge & Bell 2002). | |
= Political, = Economic, = ocial, = echnological, = nvironmental, = egal (CIPD 2010). |
There are a number of PICO variations which can be used for different types of questions, such as qualitative, and background and foreground questions. Visit the Evidence-Based Practice (EBP) Guide to learn more:
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Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.
The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.
The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.
Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.
Research question | Explanation |
---|---|
The first question is not enough. The second question is more , using . | |
Starting with “why” often means that your question is not enough: there are too many possible answers. By targeting just one aspect of the problem, the second question offers a clear path for research. | |
The first question is too broad and subjective: there’s no clear criteria for what counts as “better.” The second question is much more . It uses clearly defined terms and narrows its focus to a specific population. | |
It is generally not for academic research to answer broad normative questions. The second question is more specific, aiming to gain an understanding of possible solutions in order to make informed recommendations. | |
The first question is too simple: it can be answered with a simple yes or no. The second question is , requiring in-depth investigation and the development of an original argument. | |
The first question is too broad and not very . The second question identifies an underexplored aspect of the topic that requires investigation of various to answer. | |
The first question is not enough: it tries to address two different (the quality of sexual health services and LGBT support services). Even though the two issues are related, it’s not clear how the research will bring them together. The second integrates the two problems into one focused, specific question. | |
The first question is too simple, asking for a straightforward fact that can be easily found online. The second is a more question that requires and detailed discussion to answer. | |
? dealt with the theme of racism through casting, staging, and allusion to contemporary events? | The first question is not — it would be very difficult to contribute anything new. The second question takes a specific angle to make an original argument, and has more relevance to current social concerns and debates. |
The first question asks for a ready-made solution, and is not . The second question is a clearer comparative question, but note that it may not be practically . For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries. |
Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.
Type of research | Example question |
---|---|
Qualitative research question | |
Quantitative research question | |
Statistical research question |
If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
Methodology
Statistics
Research bias
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Extended essay in chemistry
The following is an overview of the extended essay guidelines for chemistry (IBO documents)
An extended essay in chemistry provides students with an opportunity to investigate a particular aspect of the materials of our environment. Such extended essays must be characterized by a particular chemical emphasis within a more general set of research criteria.
The outcome of the research should be a coherent and structured piece of writing that effectively addresses a particular issue or research question and arrives at a particular, and preferably personal, conclusion.
Choice of topic
It is important that the extended essay has a clear chemical emphasis and is not more closely related to another subject. Chemistry is the science that deals with the composition, characterization and transformation of substances. A chemistry extended essay should, therefore, incorporate chemical principles and theory, and emphasize the essential nature of chemistry, relating to the study of matter and of the changes it undergoes.
Although the same assessment criteria apply to all extended essays, for an extended essay submitted in chemistry the topic chosen must allow an approach that distinctly involves chemistry. Where a topic might be approached from different viewpoints, the treatment of the material must be approached from a chemistry perspective. For example, an extended essay in an interdisciplinary area such as biochemistry will, if registered as a chemistry extended essay, be judged on its chemical content, not its biological content.
The scope of the topic and the research associated with it should enable all the criteria to be addressed. A good topic is one where the single research question is sharply focused and can be treated effectively within the word limit. Perhaps the most important factor is the depth of treatment that can be given to the topic by the student. Broad or complex survey topics (for example, investigations into health problems caused by water pollution, chemotherapy for cancer treatment or the use of spectroscopy in chemical analysis) will not permit the student to discuss conflicting ideas and theories, nor to produce an in-depth personal analysis within the word limit.
Some topics may be unsuitable for investigation because of safety issues. For example, experiments involving toxic or dangerous chemicals, carcinogenic substances or radioactive materials should be avoided unless adequate safety apparatus and qualified supervision are available.
Other topics may be unsuitable because the outcome is already well known and documented in standard textbooks, and the student may not be able to show any personal input. An example might be a study of the reactions of the alkali metals with water as this is already covered by the syllabus. However, some care does need to be exercised in deciding whether a topic is suitable or not; for example, previously, the study of the allotropes of carbon might have been thought to be trivial but this would not be the case today.
Example essay titles
The following examples of titles for chemistry extended essays are intended as guidance only. The pairings illustrate that focused topics (indicated by the first title) should be encouraged rather than broad topics (indicated by the second title).
The ratio of the gases evolved at the positive electrode during the electrolysis of common salt solution is better than Electrolysis of solutions.
Spectrophotometric determination of trace amounts of lead in drinking water is better than Water analysis.
The effects of sugar-free chewing gum on the pH of saliva in the mouth after a meal is better than Acidbase chemistry.
How can the natural oxidant rutin be extracted and purified from the seed of the Chinese Scholartree? is better than Extraction of natural products from plants.
Moreover, it may help if the student further defines and refines the topic chosen for study in the form of a research question or statement.
The ratio of the gases evolved at the positive electrode during the electrolysis of common salt solution
Research question
Is there a relationship between the concentration of aqueous sodium chloride solution and the ratio of the amounts of oxygen and chlorine gas that are evolved at the positive electrode during electrolysis.
The caffeine content of a cup of tea
Does the time it takes to brew a cup of tea using a specific commercial brand of tea leaves significantly alter the amount of caffeine that is dissolved in the drink?
Analysis of strawberry jellies by paper chromatography
The use of paper chromatography to determine whether strawberry jellies obtained from 24 different countries in 5 different continents all contain the same red dyes.
Treatment of the topic
An extended essay in chemistry may be based on literature, theoretical models or experimental data. Whichever category or combination of categories is chosen, the student should ensure that sufficient data is available for evaluation and that the topic can be researched accurately using locally available resources.
Students who choose to write an extended essay based on literature and/or surveys should ensure that their extended essay clearly shows its chemical basis. Essays written at the level of a newspaper or news magazine article are unlikely to achieve a high mark.
Since chemistry is an experimental science, students are strongly encouraged to undertake experimental work as part of their research, although this is not compulsory. In order to place their research into the appropriate context, students should research the area of the investigation before commencing any experimental work. Where possible, they should consult original research using scientific journals, personal communications and the internet. Textbooks should never be the only source of information.
All essays involving experimental work undertaken by the student should include a clear and concise description of the experimental work. Students should indicate clearly whether they have personally designed the experiment, or give the source of an existing experiment method that they have used and state how they have adapted and improved upon it. All essays must be supervised by a school supervisor.
Many of the best essays are written by students investigating relatively simple phenomena using apparatus and materials that can be found in most school laboratories, and this approach is to be encouraged. If the practical work is carried out in an industrial or university laboratory, the essay should be accompanied by a letter from the external supervisor outlining the nature of the supervision and the level of guidance provided. The school supervisor must be satisfied that the work described in the essay is genuine and essentially that of the student.
Data collected from an experiment designed by the student is of little value unless it is analysed using appropriate scientific techniques, evaluated and perhaps compared with appropriate models.
It is possible to produce an extended essay in chemistry in which the student has used data collected elsewhere as the primary source. In such cases, the element of personal analysis and evaluation is extremely important.
In any chemistry extended essay, students should be able to demonstrate that they understand the theory underlying any experimental work and state any assumptions made. They should show an understanding of the results obtained and be able to interpret them with reference to the research question posed. They should be critical of inadequate experimental design, the limitations of the experimental method and any systematic errors.
Students should be encouraged to consider unresolved questions in their research, and to suggest new questions and areas for further investigation in their conclusion. Throughout the whole of the essay, students should emphasize clearly their own personal contribution.
Interpreting the assessment criteria
Criterion A: research question
Many research questions can be formulated as an actual question or questions. A typical example is: What gas is evolved when zinc is added to copper (II) sulfate solution and what factors affect its formation?. However, in chemistry extended essays it is perfectly reasonable to formulate the research question as a statement or as a hypothesis rather than an actual question. An analysis of the amount of aluminium in three different brands of underarm deodorant by visible spectroscopy and The kinetics of oxidation of iodide ions with hydrogen peroxide in acidic solutions are two such examples where a statement rather than a question is appropriate. Whichever way it is formulated, it should be identified clearly as the research question and set out prominently in the introduction.
Criterion B: introduction
The purpose of the introduction is to set the research question into context, that is, to relate the research question to existing knowledge in chemistry. It is usually appropriate to include also the underlying chemical theory required to understand how the research question has arisen. Some research questions require some background knowledge that is not related to chemistryfor example, Do the fossils found in different strata of rocks at a particular location contain different amounts of sulfur? . For the essay to make sense, it would be important to state the ages of the rocks and give some geological background. In such cases, only the essential non-chemistry information should be provided in the introduction, as the essay will be marked on its chemical content. If it is necessary to include more non-chemistry (for example, geological) information, then the appropriate place for it is the appendix.
Criterion C: investigation
The way in which the investigation is undertaken will depend very much on whether or not the essay contains experimental work performed by the student. For non-experimental essays, students should endeavour to show clearly how the data has been selected. They should distinguish between primary sources (original scientific publications, personal communications, interviews) and secondary sources (textbooks, newspaper articles, reviews), and show awareness of how reliable these sources are. For experimental work, sufficient information should be provided so that the work could be repeated if necessary by an independent worker. Students should make it clear which experiments they have designed themselves and which they have altered, adapted or improved from existing methods.
Criterion D: knowledge and understanding of the topic studied
Students should show that they understand fully the underlying chemistry behind the context of their research question and their subsequent investigation. They are not expected to explain basic chemistry forming part of the Diploma Programme chemistry course, but they are expected to show that they fully understand the relevant principles and ideas and can apply them correctly. They should also demonstrate that they understand the theory behind any techniques or apparatus used.
Criterion E: reasoned argument
Students should be aware of the need to give their essays the backbone of a developing argument. A good argument in chemistry will almost certainly include consideration and comparison of different approaches and methods directly relevant to the research question. Straightforward descriptive or narrative accounts that lack analysis do not usually advance an argument and should be avoided.
Criterion F: application of analytical and evaluative skills appropriate to the subject
A thorough understanding of the reliability of all data used to support the argument should be shown. Inadequate experimental design or any systematic errors should be exposed. The magnitude of uncertainties in physical data should be evaluated and discussed. Approximations in models should be accounted for and all assumptions examined thoroughly. Where possible, the quality of sources accessed or data generated should be verified by secondary sources or by direct calculations.
Criterion G: use of language appropriate to the subject
Correct chemical terminology and nomenclature should be used consistently and effectively throughout the extended essay. Relevant chemical formulas (including structural formulas), balanced equations (including state symbols) and mechanisms should be included. The correct units for physical quantities must always be given and the proper use of significant figures is expected.
Criterion H: conclusion
The conclusion must be consistent with the argument presented and should not merely repeat material in the introduction or introduce new or extraneous points to the argument. In chemistry, it is almost always pertinent to consider unresolved questions and to suggest areas for further investigation.
Criterion I: formal presentation
This criterion relates to the extent to which the essay conforms to academic standards about the way in which research papers should be presented. The presentation of essays that omit a bibliography or that do not give references is deemed unacceptable (level 0). Essays that omit one of the required elementstitle page, table of contents, page numbersare deemed no better than satisfactory (maximum level 2), while essays that omit two of them are deemed poor at best (maximum level 1).
The essay must not exceed 4,000 words of narrative. Graphs, figures, calculations, diagrams, formulas and equations are not included in the word count. For experiments where numerical results are calculated from data obtained by changing one of the variables, it is generally good practice to show one example of the calculation. The remainder can be displayed in tabular or graphical form.
Criterion J: abstract
The abstract is judged on the clarity with which it presents an overview of the research and the essay, not on the quality of the research question itself, nor on the quality of the argument or the conclusions.
Criterion K: holistic judgment
Qualities that are rewarded under this criterion include the following.
Intellectual initiative: Ways of demonstrating this in chemistry essays include the choice of topic and research question, and the use of novel or innovative approaches to address the research question.
Insight and depth of understanding: These are most likely to be demonstrated as a consequence of detailed research and thorough reflection, and by a well-informed and reasoned argument that consistently and effectively addresses the research question.
Originality and creativity: These will be apparent by clear evidence of a personal approach backed up by solid research and reasoning.
The assessment criteria
Past essay titles
All research begins with a question, a research question .
A research question is a statement that identifies a narrow area of inquiry related to a specific problem and/or gap in knowledge .
What were Alice Ball's most notable scientific achievements, and what significant biographical details are known about Alice Ball?
Another benefit of an effective research question is that they help identify initial search terms with which to begin searching databases. To identify initial search terms using a research question, look for central concepts that you need to know more about to answer the question. In the example above, "Alice Ball" is an excellent search term to start with because she is the notable historical figure at the heart of this hypothetical research project, and it is important to locate content related to her life and achievements. As you learn more about a topic, you can include additional search terms to further refine your search.
Finally, an effective research question provides a clear road map to completing a research project. A research question limits the amount and kind of information needed to only that which answers the question and provides a clear target for completion. A research project is complete when it answers its research question.
From Laurier Library.
Choose an area of interest to explore. .
For you to successfully finish a research project, it is important to choose a research topic that is relevant to your field of study and piques your curiosity. The flip side is that curiosity can take you down long and winding paths, so you also need to consider scope in how to effectively cover the topic in the space that you have available. If there's an idea or concept you've recently learned that's stuck with you, that might be a good place to start !
You may not know right away what your research question is - that's okay! Start out with a broad topic, and see what information is out there through cursory background research. This will help you explore possibilities and narrow your topic to something manageable. Do a few quick searches in OneSearch@IU or in other relevant sources. See what other researchers have already written to help narrow your focus.
Once you have a sense of how other researchers are talking about the topics you’re interested, narrow down your topic by asking the 5 Ws
Broad topic: Native American representations in museums
Narrowed topic: Museum efforts to adhere to NAGPRA
Adapted from: University of Michigan. (2023 Finding and Exploring your topic. Retrieved from https://guides.lib.umich.edu/c.php?g=283095&p=1886086
So, you have done some background research and narrowed down your topic. Now what? Start to turn that topic into a series of questions that you will attempt to answer the course of your research. Keep in mind that you will probably end up changing and adjusting the question(s) you have as you gather more information and synthesize it in your writing. However, having a clear line of inquiry can help you maintain a sense of your direction, which will then in turn help you evaluate sources and identify relevant information throughout your research process.
These are the questions that comes from a genuine curiosity about your topic. When narrowing down your topic, you got a good sense of the Who, What, When, and Where of things. Now it’s time to consider
Use the following to determine if any of the questions you generated would be appropriate and workable for your assignment.
Once you have developed your research question, consider how you will attempt to answer or address it.
Sample research questions.
A good research question is clear, focused, and has an appropriate level of complexity. Developing a strong question is a process, so you will likely refine your question as you continue to research and to develop your ideas.
Unclear : Why are social networking sites harmful?
Clear: How are online users experiencing or addressing privacy issues on such social networking sites as Facebook and TikTok?
Unfocused: What is the effect on the environment from global warming?
Focused: How is glacial melting affecting penguins in Antarctica?
Too simple: How are doctors addressing diabetes in the U.S.?
Appropriately Complex: What are common traits of those suffering from diabetes in America, and how can these commonalities be used to aid the medical community in prevention of the disease?
Reference sources like dictionaries and encylopedias provide general information about various subjects. They also include definitions that may help you break down your topic and understand it better. Sources includes in these entries can be springboards for more in-depth research.
A note on citation: Reference sources are generally not cited since they usually consist of common knowledge (e.g. who was the first United States President). But if you're unsure whether to cite something it's best to do so. Specific pieces of information and direct quotes should always be cited.
Reference resources from the Oxford University Press. Includes English dictionaries and thesauruses, English language reference books, bilingual dictionaries, quotations, maps and illustrations, timelines and subject reference sources.
Database of encyclopedias and specialized reference sources.
Encyclopedias and specialized reference resources in: Arts, Biography, History, Information and Publishing, Law, Literature, Medicine, Multicultural Studies, Nation and World, Religion, Science, Social Science
Reference sources are a great place to begin your research. They can help you:
From here, you can narrow your search topic and look at more specialized sources.
Featured databases.
Research is the pursuit of new knowledge through the process of discovery. Scientific research involves diligent inquiry and systematic observation of phenomena. Most scientific research projects involve experimentation, often requiring testing the effect of changing conditions on the results. The conditions under which specific observations are made must be carefully controlled, and records must be meticulously maintained. This ensures that observations and results can be are reproduced. Scientific research can be basic (fundamental) or applied. What is the difference? The National Science Foundation uses the following definitions in its resource surveys:
Get on the path to graduate school with our comprehensive guide to selecting an institution and preparing for graduate studies.
At the undergraduate level, research is self-directed work under the guidance and supervision of a mentor/advisor ― usually a university professor. A gradual transition towards independence is encouraged as a student gains confidence and is able to work with minor supervision. Students normally participate in an ongoing research project and investigate phenomena of interest to them and their advisor. In the chemical sciences, the range of research areas is quite broad. A few groups maintain their research area within a single classical field of analytical, inorganic, organic, physical, chemical education or theoretical chemistry. More commonly, research groups today are interdisciplinary, crossing boundaries across fields and across other disciplines, such as physics, biology, materials science, engineering and medicine.
There are many benefits to undergraduate research, but the most important are:
Many chemistry programs now require undergraduate research for graduation. There are plenty of opportunities for undergraduate students to get involved in research, either during the academic year, summer, or both. If your home institution is not research intensive, you may find opportunities at other institutions, government labs, and industries.
Conducting a research project involves a series of steps that start at the inquiry level and end in a report. In the process, you learn to:
Chemistry is an experimental science. We recommended that you get involved in research as early in your college life as possible. Ample undergraduate research experience gives you an edge in the eyes of potential employers and graduate programs.
While most mentors prefer to accept students in their research labs once they have developed some basic lab skills through general and organic lab courses, some institutions have programs that involve students in research projects the summer prior to their freshman year. Others even involve senior high school students in summer research programs. Ask your academic/departmental advisor about the options available to you.
The quick answer is as much as possible without jeopardizing your course work. The rule of thumb is to spend 3 to 4 hours working in the lab for every credit hour in which you enroll. However, depending on the project, some progress can be achieved in just 3-4 hours of research/week. Most advisors would recommend 8-10 hours/week.
Depending on your project, a few of those hours may be of intense work and the rest may be spent simply monitoring the progress of a reaction or an instrumental analysis. Many research groups work on weekends. Saturdays are excellent days for long, uninterrupted periods of lab work.
This is probably the most important step in getting involved in undergraduate research. The best approach is multifaceted. Get informed about research areas and projects available in your department, which are usually posted on your departmental website under each professor’s name.
Talk to other students who are already involved in research. If your school has an ACS Student Chapter , make a point to talk to the chapter’s members. Ask your current chemistry professor and lab instructor for advice. They can usually guide you in the right direction. If a particular research area catches your interest, make an appointment with the corresponding professor.
Let the professor know that you are considering getting involved in research, you have read a bit about her/his research program, and that you would like to find out more. Professors understand that students are not experts in the field, and they will explain their research at a level that you will be able to follow. Here are some recommended questions to ask when you meet with this advisor:
Here is one last piece of advice: If the project really excites you and you get satisfactory answers to all your questions, make sure that you and the advisor will get along and that you will enjoy working with him/her and other members of the research group.
Remember that this advisor may be writing recommendation letters on your behalf to future employers, graduate schools, etc., so you want to leave a good impression. To do this, you should understand that the research must move forward and that if you become part of a research team, you should do your best to achieve this goal. At the same time, your advisor should understand your obligations to your course work and provide you with a degree of flexibility.
Ultimately, it is your responsibility to do your best on both course work and research. Make sure that the advisor is committed to supervising you as much as you are committed to doing the required work and putting in the necessary/agreed upon hours.
Be informed, attentive, analytical, and objective. Read all the background information. Read user manuals for instruments and equipment. In many instances the reason for failure may be related to dirty equipment, contaminated reagents, improperly set instruments, poorly chosen conditions, lack of thoroughness, and/or lack of resourcefulness. Repeating a procedure while changing one parameter may work sometimes, while repeating the procedure multiple times without systematic changes and observations probably will not.
When reporting failures or problems, make sure that you have all details at hand. Be thorough in you assessment. Then ask questions. Advisors usually have sufficient experience to detect errors in procedures and are able to lead you in the right direction when the student is able to provide all the necessary details. They also have enough experience to know when to change directions. Many times one result may be unexpected, but it may be interesting enough to lead the investigation into a totally different avenue. Communicate with your advisor/mentor often.
Absolutely! Your school may be close to other universities, government labs and/or industries that offer part-time research opportunities during the academic year. There may also be summer opportunities in these institutions as well as in REU sites (see next question).
Contact your chemistry department advisor first. He/she may have some information readily available for you. You can also contact nearby universities, local industries and government labs directly or through the career center at your school. You can also find listings through ACS resources:
REU is a program established by the National Science Foundation (NSF) to support active research participation by undergraduate students at host institutions in the United States or abroad. An REU site may offer projects within a single department/discipline or it may have projects that are inter-departmental and interdisciplinary. There are currently over 70 domestic and approximately 5 international REU sites with a chemistry theme. Sites consist of 10-12 students each, although there are larger sites that supplement NSF funding with other sources. Students receive stipends and, in most cases, assistance with housing and travel.
Most REU sites invite rising juniors and rising seniors to participate in research during the summer. Experience in research is not required to apply, except for international sites where at least one semester or summer of prior research experience is recommended. Applications usually open around November or December for participation during the following summer. Undergraduate students supported with NSF funds must be citizens or permanent residents of the United States or its possessions. Some REU sites with supplementary funds from other sources may accept international students that are enrolled at US institutions.
Here are some links to sites with very useful information and samples.
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25+ Practical Examples & Ideas To Help You Get Started
By: Derek Jansen (MBA) | October 2023
A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights. But, if you’re new to research, it’s not always clear what exactly constitutes a good research question. In this post, we’ll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!
Let’s start by looking at some examples of research questions that you might encounter within the discipline of psychology.
How does sleep quality affect academic performance in university students?
This question is specific to a population (university students) and looks at a direct relationship between sleep and academic performance, both of which are quantifiable and measurable variables.
What factors contribute to the onset of anxiety disorders in adolescents?
The question narrows down the age group and focuses on identifying multiple contributing factors. There are various ways in which it could be approached from a methodological standpoint, including both qualitatively and quantitatively.
Do mindfulness techniques improve emotional well-being?
This is a focused research question aiming to evaluate the effectiveness of a specific intervention.
How does early childhood trauma impact adult relationships?
This research question targets a clear cause-and-effect relationship over a long timescale, making it focused but comprehensive.
Is there a correlation between screen time and depression in teenagers?
This research question focuses on an in-demand current issue and a specific demographic, allowing for a focused investigation. The key variables are clearly stated within the question and can be measured and analysed (i.e., high feasibility).
Next, let’s look at some examples of well-articulated research questions within the business and management realm.
How do leadership styles impact employee retention?
This is an example of a strong research question because it directly looks at the effect of one variable (leadership styles) on another (employee retention), allowing from a strongly aligned methodological approach.
What role does corporate social responsibility play in consumer choice?
Current and precise, this research question can reveal how social concerns are influencing buying behaviour by way of a qualitative exploration.
Does remote work increase or decrease productivity in tech companies?
Focused on a particular industry and a hot topic, this research question could yield timely, actionable insights that would have high practical value in the real world.
How do economic downturns affect small businesses in the homebuilding industry?
Vital for policy-making, this highly specific research question aims to uncover the challenges faced by small businesses within a certain industry.
Which employee benefits have the greatest impact on job satisfaction?
By being straightforward and specific, answering this research question could provide tangible insights to employers.
Next, let’s look at some potential research questions within the education, training and development domain.
How does class size affect students’ academic performance in primary schools?
This example research question targets two clearly defined variables, which can be measured and analysed relatively easily.
Do online courses result in better retention of material than traditional courses?
Timely, specific and focused, answering this research question can help inform educational policy and personal choices about learning formats.
What impact do US public school lunches have on student health?
Targeting a specific, well-defined context, the research could lead to direct changes in public health policies.
To what degree does parental involvement improve academic outcomes in secondary education in the Midwest?
This research question focuses on a specific context (secondary education in the Midwest) and has clearly defined constructs.
What are the negative effects of standardised tests on student learning within Oklahoma primary schools?
This research question has a clear focus (negative outcomes) and is narrowed into a very specific context.
Shifting to a different field, let’s look at some examples of research questions within the healthcare space.
What are the most effective treatments for chronic back pain amongst UK senior males?
Specific and solution-oriented, this research question focuses on clear variables and a well-defined context (senior males within the UK).
How do different healthcare policies affect patient satisfaction in public hospitals in South Africa?
This question is has clearly defined variables and is narrowly focused in terms of context.
Which factors contribute to obesity rates in urban areas within California?
This question is focused yet broad, aiming to reveal several contributing factors for targeted interventions.
Does telemedicine provide the same perceived quality of care as in-person visits for diabetes patients?
Ideal for a qualitative study, this research question explores a single construct (perceived quality of care) within a well-defined sample (diabetes patients).
Which lifestyle factors have the greatest affect on the risk of heart disease?
This research question aims to uncover modifiable factors, offering preventive health recommendations.
Last but certainly not least, let’s look at a few examples of research questions within the computer science world.
What are the perceived risks of cloud-based storage systems?
Highly relevant in our digital age, this research question would align well with a qualitative interview approach to better understand what users feel the key risks of cloud storage are.
Which factors affect the energy efficiency of data centres in Ohio?
With a clear focus, this research question lays a firm foundation for a quantitative study.
How do TikTok algorithms impact user behaviour amongst new graduates?
While this research question is more open-ended, it could form the basis for a qualitative investigation.
What are the perceived risk and benefits of open-source software software within the web design industry?
Practical and straightforward, the results could guide both developers and end-users in their choices.
In this post, we’ve tried to provide a wide range of research question examples to help you get a feel for what research questions look like in practice. That said, it’s important to remember that these are just examples and don’t necessarily equate to good research topics . If you’re still trying to find a topic, check out our topic megalist for inspiration.
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Chemistry teachers light up classrooms with their passion and knowledge, nurturing the next generation of scientists. They break down complex concepts into digestible lessons, turning abstract theories into tangible understanding. These educators play a pivotal role in shaping students' futures, igniting curiosity and inspiring innovation.
A great chemistry teacher must possess a strong grasp of subject matter, excellent communication skills, and an inspiring teaching style. They are valued for their ability to create engaging lesson plans, manage a dynamic classroom, and assess students' progress effectively. When writing your Chemistry Teacher resume, highlight your educational background, teaching experience, and any unique skills that set you apart.
When crafting a resume for a chemistry teacher position, certain main sections must be present to effectively communicate your experience and credentials.
Beyond the main sections, additional parts of your resume can further highlight your competencies and achievements.
How long should my chemistry teacher resume be.
Your Chemistry Teacher resume should ideally be one to two pages long. Keeping it concise ensures you present the most relevant and impactful information without overwhelming the reader. For those with less experience, one page is usually sufficient to cover your education, relevant skills, and any teaching experience you might have. Seasoned professionals might need two pages to cover years of teaching, relevant research, and additional qualifications in the field of chemistry.
For a Chemistry Teacher resume, the reverse-chronological format is often the most effective. This format highlights your most recent experience first, which is typically the most relevant to potential employers. Starting with your current or most recent position, you showcase your professional growth and the progression of your teaching career. It allows hiring managers to see a clear timeline of your work experience, education, and any other qualifications you bring to the table.
Your Chemistry Teacher resume should emphasize your teaching experience, subject-matter expertise, and contributions to student success. Highlight your ability to develop engaging lesson plans, your experience with various teaching methods, and any positive outcomes from your teaching, such as improved student performance. Additionally, showcasing any special projects you've managed, like science fairs or lab improvements, can make your resume stand out.
Quantifying your experience on your Chemistry Teacher resume can make your qualifications more tangible. You might include the number of students you've taught, the percentage by which you've improved test scores, or the number of successful laboratory experiences you've supervised. Mentioning specific achievements, like securing grant funding for new classroom equipment or leading a team of teachers in curriculum development, can also add valuable metrics to your resume.
College Teachers are the cornerstone of academic enlightenment, fostering growth and curiosity in students. They bridge the gap between raw potential and polished skill, guiding young minds toward their futures. Their passion for teaching ignites a spark that can illuminate a lifetime of learning. To be an effective College Teacher, you must possess excellent communication skills, deep subject knowledge, and the ability to inspire students. Your ability to design engaging curriculum and mentor students will be highly valued during the hiring process. A College Teacher resume should highlight your teaching experience, achievements, and commitment to student success.
History Teachers hold the keys to understanding our past, shaping our present, and guiding our future. They turn ancient events and figures into vivid, memorable stories for students. Without them, we'd lose sight of the rich tapestries of human experience that inform our world today. You, the History Teacher, must possess a knack for storytelling and rigorous research skills. Employers will value your ability to engage students through interactive lessons and critical thinking activities. Therefore, your History Teacher resume should highlight these capabilities clearly and compellingly.
Math teachers are the torchbearers of a subject that underpins much of our daily lives, including technological advancements and scientific discoveries. They light up students' minds, fostering logical thinking and problem-solving skills. Their impact goes far beyond the classroom, crafting the thinkers and doers of tomorrow. Aspiring math teachers should be adept in simplifying complex concepts and possess strong communication skills. Activities like creating engaging lesson plans and using interactive teaching methods will be highly valued by potential employers. Your Math Teacher resume should focus on showcasing these talents and experiences effectively.
Cbse class 9 skill subject sample papers 2025: the central board of secondary education (cbse) has released the sample papers of various skill subjects for students of class 9 for the 2025 annual exams. download the subject-wise sample papers with marking scheme here..
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Along with sample papers, CBSE has also released the marking scheme for the skill subjects. It will help students to understand the schematic distribution of marks. The sample question papers contain the blueprint as well.
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Step 1: Go to the official website, cbseacademic.nic.in.
Step 2: Click on ‘Skill Education’ and then click on ‘Sample Question Papers’.
Step 3: Select the class for which you want to download the sample question papers.
Step 4: Choose the subject.
Step 5: Download the sample question paper and marking scheme for the subject.
Students should follow the latest syllabus only for the preparation of examination. This will help them to keep their exam preparation on track. Students can check the syllabus for all subjects for 2024-25 from the below link:
CBSE Video Courses for Class 9 Students
Class 9 students can study effectively for the exams with the help of video courses prepared by the subject matter experts. These video courses will explain the concepts in a simple and interactive manner which will help learners to understand clearly.
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Professor of Philosophy, California Polytechnic State University
Patrick Lin receives funding from the US National Science Foundation for this work.
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Automating food is unlike automating anything else. Food is fundamental to life – nourishing body and soul – so how it’s accessed, prepared and consumed can change societies fundamentally.
Automated kitchens aren’t sci-fi visions from “The Jetsons” or “Star Trek.” The technology is real and global . Right now, robots are used to flip burgers , fry chicken , create pizzas , make sushi , prepare salads , serve ramen , bake bread , mix cocktails and much more. AI can invent recipes based on the molecular compatibility of ingredients or whatever a kitchen has in stock . More advanced concepts are in the works to automate the entire kitchen for fine dining.
Since technology tends to be expensive at first, the early adopters of AI kitchen technologies are restaurants and other businesses. Over time, prices are likely to fall enough for the home market , possibly changing both home and societal dynamics.
Can food technology really change society? Yes, just consider the seismic impact of the microwave oven . With that technology, it was suddenly possible to make a quick meal for just one person, which can be a benefit but also a social disruptor.
Familiar concerns about the technology include worse nutrition and health from prepackaged meals and microwave-heated plastic containers . Less obviously, that convenience can also transform eating from a communal, cultural and creative event into a utilitarian act of survival – altering relationships, traditions, how people work, the art of cooking and other facets of life for millions of people.
For instance, think about how different life might be without the microwave. Instead of working at your desk over a reheated lunch, you might have to venture out and talk to people, as well as enjoy a break from work. There’s something to be said for living more slowly in a society that’s increasingly frenetic and socially isolated .
Convenience can come at a great cost, so it’s vital to look ahead at the possible ethical and social disruptions that emerging technologies might bring, especially for a deeply human and cultural domain – food – that’s interwoven throughout daily life.
With funding from the U.S. National Science Foundation , my team at California Polytechnic State University is halfway into what we believe is the first study of the effects AI kitchens and robot cooks could have on diverse societies and cultures worldwide. We’ve mapped out three broad areas of benefits and risks to examine.
The benefits of AI kitchens include enabling chefs to be more creative , as well as eliminating repetitive, tedious tasks such as peeling potatoes or standing at a workstation for hours. The technology can free up time. Not having to cook means being able to spend more time with family or focus on more urgent tasks. For personalized eating, AI can cater to countless special diets , allergies and tastes on demand.
However, there are also risks to human well-being. Cooking can be therapeutic and provides opportunities for many things : gratitude, learning, creativity, communication, adventure, self-expression, growth, independence, confidence and more, all of which may be lost if no one needs to cook. Family relationships could be affected if parents and children are no longer working alongside each other in the kitchen – a safe space to chat, in contrast to what can feel like an interrogation at the dining table.
The kitchen is also the science lab of the home , so science education could suffer. The alchemy of cooking involves teaching children and other learners about microbiology, physics, chemistry, materials science, math, cooking techniques and tools, food ingredients and their sourcing, human health and problem-solving. Not having to cook can erode these skills and knowledge.
AI can help with experimentation and creativity, such as creating elaborate food presentations and novel recipes within the spirit of a culture. Just as AI and robotics help generate new scientific knowledge , they can increase understanding of, say, the properties of food ingredients, their interactions and cooking techniques, including new methods.
But there are risks to culture. For example, AI could bastardize traditional recipes and methods, since AI is prone to stereotyping , for example flattening or oversimplifying cultural details and distinctions. This selection bias could lead to reduced diversity in the kinds of cuisine produced by AI and robot cooks. Technology developers could become gatekeepers for food innovation, if the limits of their machines lead to homogeneity in cuisines and creativity, similar to the weirdly similar feel of AI art images across different apps.
Also, think about your favorite restaurants and favorite dinners. How might the character of those neighborhoods change with automated kitchens? Would it degrade your own gustatory experience if you knew those cooking for you weren’t your friends and family but instead were robots?
The hope with technology is that more jobs will be created than jobs lost. Even if there’s a net gain in jobs, the numbers hide the impact on real human lives. Many in the food service industry – one of the most popular occupations in any economy – could find themselves unable to learn new skills for a different job. Not everyone can be an AI developer or robot technician, and it’s far from clear that supervising a robot is a better job than cooking.
Philosophically, it’s still an open question whether AI is capable of genuine creativity , particularly if that implies inspiration and intuition. Assuming so may be the same mistake as thinking that a chatbot understands what it’s saying , instead of merely generating words that statistically follow the previous words. This has implications for aesthetics and authenticity in AI food, similar to ongoing debates about AI art and music .
Because humans are a key disease vector , robot cooks can improve food safety. Precision trimming and other automation can reduce food waste , along with AI recipes that can make the fullest use of ingredients. Customized meals can be a benefit for nutrition and health, for example, in helping people avoid allergens and excess salt and sugar.
The technology is still emerging, so it’s unclear whether those benefits will be realized. Foodborne illnesses are an unknown. Will AI and robots be able to smell , taste or otherwise sense the freshness of an ingredient or the lack thereof and perform other safety checks?
Physical safety is another issue. It’s important to ensure that a robot chef doesn’t accidentally cut, burn or crush someone because of a computer vision failure or other error. AI chatbots have been advising people to eat rocks, glue, gasoline and poisonous mushrooms , so it’s not a stretch to think that AI recipes could be flawed, too. Where legal regimes are still struggling to sort out liability for autonomous vehicles , it may similarly be tricky to figure out liability for robot cooks, including if hacked.
Given the primacy of food, food technologies help shape society. The kitchen has a special place in homes, neighborhoods and cultures, so disrupting that venerable institution requires careful thinking to optimize benefits and reduce risks.
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A question of pattern recognition: investigating the impact of structure variation on students’ proficiency in deciding about resonance stabilization.
* Corresponding authors
a Justus-Liebig-University Giessen, Institute of Chemistry Education, Heinrich-Buff-Ring 17, D-35392 Giessen, Germany E-mail: [email protected]
b Department of Chemistry, University of South Florida, Tampa, USA
The ability to reason with representations is pivotal for successful learning in Organic Chemistry and is closely linked to representational competence. Given the visual nature of this discipline, this comprises competency in extracting and processing relevant visual information. With regard to the resonance concept, proficiency in identifying whether electron delocalization applies in a molecule is an essential prerequisite to using this concept in problem-solving. However, prior research shows that students struggle to recognize whether molecules profit from electron delocalization, and seldom use this concept in problem-solving. As it remains unclear how the variation of structural features affects students’ consideration of resonance, this quantitative study seeks to identify characteristics regarding students’ perception of electron delocalization. To this end, undergraduate students enrolled in an Organic Chemistry I course ( N = 699) completed an online survey in which they had to decide on resonance stabilization for molecular structures with varying structural features. K -means cluster analysis was performed to explore patterns in students’ proficiency in discerning resonance stabilization and how they relate to other performance variables ( e.g. , time-on-task). The results suggest pattern recognition approaches with students’ attention being guided by singular structural features or structures’ visual similarity to familiar patterns ( i.e. , allylic carbocations), with less attention to implicit features.
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I. Braun, S. E. Lewis and N. Graulich, Chem. Educ. Res. Pract. , 2024, Advance Article , DOI: 10.1039/D4RP00155A
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Confidence in U.S. public opinion polling was shaken by errors in 2016 and 2020. In both years’ general elections, many polls underestimated the strength of Republican candidates, including Donald Trump. These errors laid bare some real limitations of polling.
In the midterms that followed those elections, polling performed better . But many Americans remain skeptical that it can paint an accurate portrait of the public’s political preferences.
Restoring people’s confidence in polling is an important goal, because robust and independent public polling has a critical role to play in a democratic society. It gathers and publishes information about the well-being of the public and about citizens’ views on major issues. And it provides an important counterweight to people in power, or those seeking power, when they make claims about “what the people want.”
The challenges facing polling are undeniable. In addition to the longstanding issues of rising nonresponse and cost, summer 2024 brought extraordinary events that transformed the presidential race . The good news is that people with deep knowledge of polling are working hard to fix the problems exposed in 2016 and 2020, experimenting with more data sources and interview approaches than ever before. Still, polls are more useful to the public if people have realistic expectations about what surveys can do well – and what they cannot.
With that in mind, here are some key points to know about polling heading into this year’s presidential election.
Probability sampling (or “random sampling”). This refers to a polling method in which survey participants are recruited using random sampling from a database or list that includes nearly everyone in the population. The pollster selects the sample. The survey is not open for anyone who wants to sign up.
Online opt-in polling (or “nonprobability sampling”). These polls are recruited using a variety of methods that are sometimes referred to as “convenience sampling.” Respondents come from a variety of online sources such as ads on social media or search engines, websites offering rewards in exchange for survey participation, or self-enrollment. Unlike surveys with probability samples, people can volunteer to participate in opt-in surveys.
Nonresponse and nonresponse bias. Nonresponse is when someone sampled for a survey does not participate. Nonresponse bias occurs when the pattern of nonresponse leads to error in a poll estimate. For example, college graduates are more likely than those without a degree to participate in surveys, leading to the potential that the share of college graduates in the resulting sample will be too high.
Mode of interview. This refers to the format in which respondents are presented with and respond to survey questions. The most common modes are online, live telephone, text message and paper. Some polls use more than one mode.
Weighting. This is a statistical procedure pollsters perform to make their survey align with the broader population on key characteristics like age, race, etc. For example, if a survey has too many college graduates compared with their share in the population, people without a college degree are “weighted up” to match the proper share.
Pollsters are making changes in response to the problems in previous elections. As a result, polling is different today than in 2016. Most U.S. polling organizations that conducted and publicly released national surveys in both 2016 and 2022 (61%) used methods in 2022 that differed from what they used in 2016 . And change has continued since 2022.
One change is that the number of active polling organizations has grown significantly, indicating that there are fewer barriers to entry into the polling field. The number of organizations that conduct national election polls more than doubled between 2000 and 2022.
This growth has been driven largely by pollsters using inexpensive opt-in sampling methods. But previous Pew Research Center analyses have demonstrated how surveys that use nonprobability sampling may have errors twice as large , on average, as those that use probability sampling.
The second change is that many of the more prominent polling organizations that use probability sampling – including Pew Research Center – have shifted from conducting polls primarily by telephone to using online methods, or some combination of online, mail and telephone. The result is that polling methodologies are far more diverse now than in the past.
(For more about how public opinion polling works, including a chapter on election polls, read our short online course on public opinion polling basics .)
All good polling relies on statistical adjustment called “weighting,” which makes sure that the survey sample aligns with the broader population on key characteristics. Historically, public opinion researchers have adjusted their data using a core set of demographic variables to correct imbalances between the survey sample and the population.
But there is a growing realization among survey researchers that weighting a poll on just a few variables like age, race and gender is insufficient for getting accurate results. Some groups of people – such as older adults and college graduates – are more likely to take surveys, which can lead to errors that are too sizable for a simple three- or four-variable adjustment to work well. Adjusting on more variables produces more accurate results, according to Center studies in 2016 and 2018 .
A number of pollsters have taken this lesson to heart. For example, recent high-quality polls by Gallup and The New York Times/Siena College adjusted on eight and 12 variables, respectively. Our own polls typically adjust on 12 variables . In a perfect world, it wouldn’t be necessary to have that much intervention by the pollster. But the real world of survey research is not perfect.
Predicting who will vote is critical – and difficult. Preelection polls face one crucial challenge that routine opinion polls do not: determining who of the people surveyed will actually cast a ballot.
Roughly a third of eligible Americans do not vote in presidential elections , despite the enormous attention paid to these contests. Determining who will abstain is difficult because people can’t perfectly predict their future behavior – and because many people feel social pressure to say they’ll vote even if it’s unlikely.
No one knows the profile of voters ahead of Election Day. We can’t know for sure whether young people will turn out in greater numbers than usual, or whether key racial or ethnic groups will do so. This means pollsters are left to make educated guesses about turnout, often using a mix of historical data and current measures of voting enthusiasm. This is very different from routine opinion polls, which mostly do not ask about people’s future intentions.
When major news breaks, a poll’s timing can matter. Public opinion on most issues is remarkably stable, so you don’t necessarily need a recent poll about an issue to get a sense of what people think about it. But dramatic events can and do change public opinion , especially when people are first learning about a new topic. For example, polls this summer saw notable changes in voter attitudes following Joe Biden’s withdrawal from the presidential race. Polls taken immediately after a major event may pick up a shift in public opinion, but those shifts are sometimes short-lived. Polls fielded weeks or months later are what allow us to see whether an event has had a long-term impact on the public’s psyche.
The answer to this question depends on what you want polls to do. Polls are used for all kinds of purposes in addition to showing who’s ahead and who’s behind in a campaign. Fair or not, however, the accuracy of election polling is usually judged by how closely the polls matched the outcome of the election.
By this standard, polling in 2016 and 2020 performed poorly. In both years, state polling was characterized by serious errors. National polling did reasonably well in 2016 but faltered in 2020.
In 2020, a post-election review of polling by the American Association for Public Opinion Research (AAPOR) found that “the 2020 polls featured polling error of an unusual magnitude: It was the highest in 40 years for the national popular vote and the highest in at least 20 years for state-level estimates of the vote in presidential, senatorial, and gubernatorial contests.”
How big were the errors? Polls conducted in the last two weeks before the election suggested that Biden’s margin over Trump was nearly twice as large as it ended up being in the final national vote tally.
Errors of this size make it difficult to be confident about who is leading if the election is closely contested, as many U.S. elections are .
Pollsters are rightly working to improve the accuracy of their polls. But even an error of 4 or 5 percentage points isn’t too concerning if the purpose of the poll is to describe whether the public has favorable or unfavorable opinions about candidates , or to show which issues matter to which voters. And on questions that gauge where people stand on issues, we usually want to know broadly where the public stands. We don’t necessarily need to know the precise share of Americans who say, for example, that climate change is mostly caused by human activity. Even judged by its performance in recent elections, polling can still provide a faithful picture of public sentiment on the important issues of the day.
The 2022 midterms saw generally accurate polling, despite a wave of partisan polls predicting a broad Republican victory. In fact, FiveThirtyEight found that “polls were more accurate in 2022 than in any cycle since at least 1998, with almost no bias toward either party.” Moreover, a handful of contrarian polls that predicted a 2022 “red wave” largely washed out when the votes were tallied. In sum, if we focus on polling in the most recent national election, there’s plenty of reason to be encouraged.
Compared with other elections in the past 20 years, polls have been less accurate when Donald Trump is on the ballot. Preelection surveys suffered from large errors – especially at the state level – in 2016 and 2020, when Trump was standing for election. But they performed reasonably well in the 2018 and 2022 midterms, when he was not.
During the 2016 campaign, observers speculated about the possibility that Trump supporters might be less willing to express their support to a pollster – a phenomenon sometimes described as the “shy Trump effect.” But a committee of polling experts evaluated five different tests of the “shy Trump” theory and turned up little to no evidence for each one . Later, Pew Research Center and, in a separate test, a researcher from Yale also found little to no evidence in support of the claim.
Instead, two other explanations are more likely. One is about the difficulty of estimating who will turn out to vote. Research has found that Trump is popular among people who tend to sit out midterms but turn out for him in presidential election years. Since pollsters often use past turnout to predict who will vote, it can be difficult to anticipate when irregular voters will actually show up.
The other explanation is that Republicans in the Trump era have become a little less likely than Democrats to participate in polls . Pollsters call this “partisan nonresponse bias.” Surprisingly, polls historically have not shown any particular pattern of favoring one side or the other. The errors that favored Democratic candidates in the past eight years may be a result of the growth of political polarization, along with declining trust among conservatives in news organizations and other institutions that conduct polls.
Whatever the cause, the fact that Trump is again the nominee of the Republican Party means that pollsters must be especially careful to make sure all segments of the population are properly represented in surveys.
The real margin of error is often about double the one reported. A typical election poll sample of about 1,000 people has a margin of sampling error that’s about plus or minus 3 percentage points. That number expresses the uncertainty that results from taking a sample of the population rather than interviewing everyone . Random samples are likely to differ a little from the population just by chance, in the same way that the quality of your hand in a card game varies from one deal to the next.
The problem is that sampling error is not the only kind of error that affects a poll. Those other kinds of error, in fact, can be as large or larger than sampling error. Consequently, the reported margin of error can lead people to think that polls are more accurate than they really are.
There are three other, equally important sources of error in polling: noncoverage error , where not all the target population has a chance of being sampled; nonresponse error, where certain groups of people may be less likely to participate; and measurement error, where people may not properly understand the questions or misreport their opinions. Not only does the margin of error fail to account for those other sources of potential error, putting a number only on sampling error implies to the public that other kinds of error do not exist.
Several recent studies show that the average total error in a poll estimate may be closer to twice as large as that implied by a typical margin of sampling error. This hidden error underscores the fact that polls may not be precise enough to call the winner in a close election.
Transparency in how a poll was conducted is associated with better accuracy . The polling industry has several platforms and initiatives aimed at promoting transparency in survey methodology. These include AAPOR’s transparency initiative and the Roper Center archive . Polling organizations that participate in these organizations have less error, on average, than those that don’t participate, an analysis by FiveThirtyEight found .
Participation in these transparency efforts does not guarantee that a poll is rigorous, but it is undoubtedly a positive signal. Transparency in polling means disclosing essential information, including the poll’s sponsor, the data collection firm, where and how participants were selected, modes of interview, field dates, sample size, question wording, and weighting procedures.
There is evidence that when the public is told that a candidate is extremely likely to win, some people may be less likely to vote . Following the 2016 election, many people wondered whether the pervasive forecasts that seemed to all but guarantee a Hillary Clinton victory – two modelers put her chances at 99% – led some would-be voters to conclude that the race was effectively over and that their vote would not make a difference. There is scientific research to back up that claim: A team of researchers found experimental evidence that when people have high confidence that one candidate will win, they are less likely to vote. This helps explain why some polling analysts say elections should be covered using traditional polling estimates and margins of error rather than speculative win probabilities (also known as “probabilistic forecasts”).
National polls tell us what the entire public thinks about the presidential candidates, but the outcome of the election is determined state by state in the Electoral College . The 2000 and 2016 presidential elections demonstrated a difficult truth: The candidate with the largest share of support among all voters in the United States sometimes loses the election. In those two elections, the national popular vote winners (Al Gore and Hillary Clinton) lost the election in the Electoral College (to George W. Bush and Donald Trump). In recent years, analysts have shown that Republican candidates do somewhat better in the Electoral College than in the popular vote because every state gets three electoral votes regardless of population – and many less-populated states are rural and more Republican.
For some, this raises the question: What is the use of national polls if they don’t tell us who is likely to win the presidency? In fact, national polls try to gauge the opinions of all Americans, regardless of whether they live in a battleground state like Pennsylvania, a reliably red state like Idaho or a reliably blue state like Rhode Island. In short, national polls tell us what the entire citizenry is thinking. Polls that focus only on the competitive states run the risk of giving too little attention to the needs and views of the vast majority of Americans who live in uncompetitive states – about 80%.
Fortunately, this is not how most pollsters view the world . As the noted political scientist Sidney Verba explained, “Surveys produce just what democracy is supposed to produce – equal representation of all citizens.”
Scott Keeter is a senior survey advisor at Pew Research Center .
Courtney Kennedy is Vice President of Methods and Innovation at Pew Research Center .
How public polling has changed in the 21st century, what 2020’s election poll errors tell us about the accuracy of issue polling, a field guide to polling: election 2020 edition, methods 101: how is polling done around the world, most popular.
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ABOUT PEW RESEARCH CENTER Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .
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Many students are unsure how to relate the IB chemistry topics to a real-world situation or problem that they can investigate. To help with this, I've produced a list of chemistry IA ideas, together with some example Research Questions (RQ). I've grouped them together according to the main experimental technique or measurement method.
Organic Сhemistry Research Topics. Organic chemistry is the study of carbon-containing molecules. There are many different organic chemistry research topics that a student could choose to focus on and here are just a few examples of possible research projects in organic chemistry:
Your IB Chemistry IA research question, in turn, can only be effectively framed once the topic you pick for your IA is inspired by past experiments and investigation ideas. Your IB Chemistry IA idea should help you aim at a specific research question and help you develop a proper methodology for your investigation.
All Chemistry IA Examples. Starting from the May 2025 session, the Chemistry IA requirements have changed. We created a couple of exemplars to show you how the new IA should look like. It's OK to refer to the old Chemistry IA exemplars (since the new IA is quite similar) for inspiration/ideas, but make sure to follow the new requirements.
In research in the chemistry laboratory, we tend to have implicit research questions. For example, we might test different amounts of catalyst loadings in a reaction to answer the question: ... While we don't often explicitly state the research question in chemistry research, scientists do have an implicit sense that different questions lean ...
IB Chemistry IA ideas. VSEPR theory predicts the shape and bond angles of molecules based on the number of bonding and non-bonding pairs of electrons around the central atom. It does not consider the identity of the atoms or groups attached to the central atom however, and this does have an effect.
This allows the students to explore and gain a more in depth understanding of one of the topics covered in the IB syllabus as well as further develop their laboratory, research, and scientific writing skills. The internal assessment is marked by the student's own teacher and moderated by an external marker. It is an important component of the ...
The research question is a focused summary of your project aims, so the process of choosing one and refining it ensures you've thought properly about your project and is a good exercise to go through. The flow diagram below is one I've used with my past students to help them identify their research question, variables and hypothesis:
The IA consists of a laboratory report that students must complete during their IB chemistry course. For assessments before May 2025, the report should be 6 to 12 pages in length and should include a research question, a methodology section, data analysis, and a conclusion. From May 2025, the report should be a maximum of 3,000 words.
The following image shows a sample structure of a chemistry IA. Please note that it is strictly for guidance only; in no way is it to be taken as a must-use format. ... It measures how well focused and grounded your research question is, as well as your awareness and knowledge of safety, environmental, and ethical concerns involved, if any. 2 ...
STEP 4: Brainstorm your questions. Now you have explored different aspects of your topic, you may construct more focused questions (you can create a few questions and pick one later). A background search will show you how others formulate their questions, hence expand your research direction.
The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.
EE Chemistry B. To what extent do the botanical origin of starch (Potato, Wheat, Rice, Cassava and Corn) and different concentrations of glycerol (5.6×10-5 , 1.7×10- 4 and 2.8×10-4 in moldm-3) contribute to improving the tensile strength (calculated through Young's Modulus) and biodegradability (tested through soil burial test) of the ...
Research question. The use of paper chromatography to determine whether strawberry jellies obtained from 24 different countries in 5 different continents all contain the same red dyes. ... If it is necessary to include more non-chemistry (for example, geological) information, then the appropriate place for it is the appendix. Criterion C ...
Therefore, a paper written for a chemistry class should explicate all steps of the scientific method. The Scientific Method 1. Formulate a Question It is important to articulate the fundamental scientific question that the research addresses. Ex: Is the dissolution of ammonium chloride in water an endothermic or exothermic process? 2.
A research question is a statement that identifies a narrow area of inquiry related to a specific problem and/or gap in knowledge. Effective research questions are specific in that they define a narrow topic to investigate. Topics that are overly broad result in shallow, superficial research projects and are difficult to investigate due to an ...
Sample Research Questions A good research question is clear, focused, and has an appropriate level of complexity. Developing a strong question is a process, so you will likely refine your question as you continue to research and to develop your ideas.
Undergraduate Research in Chemistry Guide. Research is the pursuit of new knowledge through the process of discovery. Scientific research involves diligent inquiry and systematic observation of phenomena. Most scientific research projects involve experimentation, often requiring testing the effect of changing conditions on the results.
A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights. But, if you're new to research, it's not always clear what exactly constitutes a good research question. In this post, we'll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!
Welcome to chemistry education research Many chemistry degree programmes offer the opportunity for students to undertake a chemistry education research project as part of their final year degree, and inclusion of chemistry education as a specialism has long been part of, for example, the Royal Soc
For example, training in chemistry could be ... If you have questions, please contact the DUS. 7 . V. First Year Chemistry . ... It is designed to engage students in the Chemistry research-seminar program by providing requisite scientific guidance and a forum for directed discussion. Students write a final
Publications and research: Include any papers or articles you've written, along with research projects you have been involved in. This section showcases your expertise and contributions to the field of chemistry. Sharing your work publicly may establish your credibility and thought leadership.
Avoiding literature also results in the avoidance of initial research questions. Ideally, a research question is derived from the review itself. Such ignorance of literature and research questions results may produce an unstructured study that is hard to make sense of and, thus, faces desk rejection, an issue highlighted by Suddaby . He notes ...
The sample question papers contain the blueprint as well. Continue reading to download the CBSE Skill Education Class 9 Sample Paper for all subjects for the session 2024-25. The sample question ...
ChemSusChem is an international sustainable chemistry journal publishing impactful sustainability research and advances in green chemistry. The cosmetic industry is now changing or rather having an ecological transition in which formulations such as creams, lotions, and powders for make-up, skin and hair care must not contain microplas...
As an example, the so-called new-economics of labor migration, posits that a key objective of out-migration (question 1) from rural areas in developing countries is diversification of risk. If some household members work in the city, the argument goes, the vagaries of business cycles and crop yields combine to lessen the fluctuations in the ...
The alchemy of cooking involves teaching children and other learners about microbiology, physics, chemistry, materials science, math, cooking techniques and tools, food ingredients and their ...
The ability to reason with representations is pivotal for successful learning in Organic Chemistry and is closely linked to representational competence. Given the visual nature of this discipline, this comprises competency in extracting and processing relevant visual information. ... Chemistry Education Research and Practice. A question of ...
For example, college graduates are more likely than those without a degree to participate in surveys, leading to the potential that the share of college graduates in the resulting sample will be too high. Mode of interview. This refers to the format in which respondents are presented with and respond to survey questions.
The Central Board of Secondary Education (CBSE) has released the 2024-25 sample papers for skill education subjects. These sample question papers, available for students in classes 9 to 12, can be ...