Adult learning online education:
Adult learning online education:
Adult learning online education:
About the example: Boolean searches were conducted on November 4, 2019; result numbers may vary at a later date. No additional database limiters were set to further narrow search returns.
Database strategies for targeted search results.
Most databases include limiters, or additional parameters, you may use to strategically focus search results. EBSCO databases, such as Education Research Complete & Academic Search Complete provide options to:
Keep in mind that these tools are defined as limiters for a reason; adding them to a search will limit the number of results returned. This can be a double-edged sword. How?
Use limiters with care. When starting a search, consider opting out of limiters until the initial literature screening is complete. The second or third time through your research may be the ideal time to focus on specific time periods or material (scholarly vs newspaper).
Expanding your search term at the root.
Truncating is often referred to as 'wildcard' searching. Databases may have their own specific wildcard elements however, the most commonly used are the asterisk (*) or question mark (?). When used within your search. they will expand returned results.
Using the asterisk wildcard will return varied spellings of the truncated word. In the following example, the search term education was truncated after the letter "t."
Original Search | |
adult education | adult educat* |
Results included: educate, education, educator, educators'/educators, educating, & educational |
Explore these database help pages for additional information on crafting search terms.
Tips for saving research directly to Google drive.
It is possible to save articles (PDF and HTML) and abstracts in EBSCOhost databases directly to Google drive. Select the Google Drive icon, authenticate using a Google account, and an EBSCO folder will be created in your account. This is a great option for managing your research. If documenting your research in a Google Doc, consider linking the information to actual articles saved in drive.
EBSCOHost Databases & Google Drive: Managing your Research
This video features an overview of how to use Google Drive with EBSCO databases to help manage your research. It presents information for connecting an active Google account to EBSCO and steps needed to provide permission for EBSCO to manage a folder in Drive.
About the Video: Closed captioning is available, select CC from the video menu. If you need to review a specific area on the video, view on YouTube and expand the video description for access to topic time stamps. A video transcript is provided below.
What is a literature review.
A definition from the Online Dictionary for Library and Information Sciences .
A literature review is "a comprehensive survey of the works published in a particular field of study or line of research, usually over a specific period of time, in the form of an in-depth, critical bibliographic essay or annotated list in which attention is drawn to the most significant works" (Reitz, 2014).
A systemic review is "a literature review focused on a specific research question, which uses explicit methods to minimize bias in the identification, appraisal, selection, and synthesis of all the high-quality evidence pertinent to the question" (Reitz, 2014).
EBSCO Connect [Discovery and Search]. (2022). Searching with boolean operators. Retrieved May, 3, 2022 from https://connect.ebsco.com/s/?language=en_US
EBSCO Connect [Discover and Search]. (2022). Searching with wildcards and truncation symbols. Retrieved May 3, 2022; https://connect.ebsco.com/s/?language=en_US
Machi, L.A. & McEvoy, B.T. (2009). The literature review . Thousand Oaks, CA: Corwin Press:
Reitz, J.M. (2014). Online dictionary for library and information science. ABC-CLIO, Libraries Unlimited . Retrieved from https://www.abc-clio.com/ODLIS/odlis_A.aspx
Ridley, D. (2008). The literature review: A step-by-step guide for students . Thousand Oaks, CA: Sage Publications, Inc.
Schedule an appointment.
Contact a librarian directly (email), or submit a request form. If you have worked with someone before, you can request them on the form.
A literature review involves researching, reading, analyzing, evaluating, and summarizing scholarly literature (typically journals and articles) about a specific topic. The results of a literature review may be an entire report or article OR may be part of a article, thesis, dissertation, or grant proposal. A literature review helps the author learn about the history and nature of their topic, and identify research gaps and problems.
Problem formulation
Elements of a Literature Review
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Priya ranganathan.
Department of Anaesthesiology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
1 Director, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
In this series on research study designs, we have so far looked at different types of primary research designs which attempt to answer a specific question. In this segment, we discuss systematic review, which is a study design used to summarize the results of several primary research studies. Systematic reviews often also use meta-analysis, which is a statistical tool to mathematically collate the results of various research studies to obtain a pooled estimate of treatment effect; this will be discussed in the next article.
In the previous six articles in this series on study designs, we have looked at different types of primary research study designs which are used to answer research questions. In this article, we describe the systematic review, a type of secondary research design that is used to summarize the results of prior primary research studies. Systematic reviews are considered the highest level of evidence for a particular research question.[ 1 ]
As defined in the Cochrane Handbook for Systematic Reviews of Interventions , “Systematic reviews seek to collate evidence that fits pre-specified eligibility criteria in order to answer a specific research question. They aim to minimize bias by using explicit, systematic methods documented in advance with a protocol.”[ 2 ]
Review of available data has been done since times immemorial. However, the traditional narrative reviews (“expert reviews”) do not involve a systematic search of the literature. Instead, the author of the review, usually an expert on the subject, used informal methods to identify (what he or she thinks are) the key studies on the topic. The final review thus is a summary of these “selected” studies. Since studies are chosen at will (haphazardly!) and without clearly defined criteria, such reviews preferentially include those studies that favor the author's views, leading to a potential for subjectivity or selection bias.
In contrast, systematic reviews involve a formal prespecified protocol with explicit, transparent criteria for the inclusion and exclusion of studies, thereby ensuring completeness of coverage of the available evidence, and providing a more objective, replicable, and comprehensive overview it.
Many systematic reviews use an additional tool, known as meta-analysis, which is a statistical technique for combining the results of multiple studies in a systematic review in a mathematically appropriate way, to create a single (pooled) and more precise estimate of treatment effect. The feasibility of performing a meta-analysis in a systematic review depends on the number of studies included in the final review and the degree of heterogeneity in the inclusion criteria as well as the results between the included studies. Meta-analysis will be discussed in detail in the next article in this series.
The conduct of a systematic review involves several sequential key steps.[ 3 , 4 ] As in other research study designs, a clearly stated research question and a well-written research protocol are essential before commencing a systematic review.
Systematic reviews can be carried out in any field of medical research, e.g. efficacy or safety of interventions, diagnostics, screening or health economics. In this article, we focus on systematic reviews of studies looking at the efficacy of interventions. As for the other study designs, for a systematic review too, the question is best framed using the Population, Intervention, Comparator, and Outcome (PICO) format.
For example, Safi et al . carried out a systematic review on the effect of beta-blockers on the outcomes of patients with myocardial infarction.[ 5 ] In this review, the Population was patients with suspected or confirmed myocardial infarction, the Intervention was beta-blocker therapy, the Comparator was either placebo or no intervention, and the Outcomes were all-cause mortality and major adverse cardiovascular events. The review question was “ In patients with suspected or confirmed myocardial infarction, does the use of beta-blockers affect mortality or major adverse cardiovascular outcomes? ”
It is essential to explicitly define a priori the criteria for selection of studies which will be included in the review. Besides the PICO components, some additional criteria used frequently for this purpose include language of publication (English versus non-English), publication status (published as full paper versus unpublished), study design (randomized versus quasi-experimental), age group (adults versus children), and publication year (e.g. in the last 5 years, or since a particular date). The PICO criteria used may not be very specific, e.g. it is possible to include studies that use one or the other drug belonging to the same group. For instance, the systematic review by Safi et al . included all randomized clinical trials, irrespective of setting, blinding, publication status, publication year, or language, and reported outcomes, that had used any beta-blocker and in a broad range of doses.[ 5 ]
A thorough literature search is essential to identify all articles related to the research question and to ensure that no relevant article is left out. The search may include one or more electronic databases and trial registries; in addition, it is common to hand-search the cross-references in the articles identified through such searches. One could also plan to reach out to experts in the field to identify unpublished data, and to search the grey literature non-peer-reviewednon-peer-reviewed. This last option is particularly helpful non-pharmacologic (theses, conference abstracts, and non-peer-reviewed journals). These sources are particularly helpful when the intervention is relatively new, since data on these may not yet have been published as full papers and hence are unlikely to be found in literature databases. In the review by Safi et al ., the search strategy included not only several electronic databases (Cochrane, MEDLINE, EMBASE, LILACS, etc.) but also other resources (e.g. Google Scholar, WHO International Clinical Trial Registry Platform, and reference lists of identified studies).[ 5 ] It is not essential to include all the above databases in one's search. However, it is mandatory to define in advance which of these will be searched.
Once the search strategy defined in the previous step has been run to identify potentially relevant studies, a two-step process is followed. First, the titles and abstracts of the identified studies are processed to exclude any duplicates and to discard obviously irrelevant studies. In the next step, full-text papers of the remaining articles are retrieved and closely reviewed to identify studies that meet the eligibility criteria. To minimize bias, these selection steps are usually performed independently by at least two reviewers, who also assign a reason for non-selection to each discarded study. Any discrepancies are then resolved either by an independent reviewer or by mutual consensus of the original reviewers. In the Cochrane review on beta-blockers referred to above, two review authors independently screened the titles for inclusion, and then, four review authors independently reviewed the screen-positive studies to identify the trials to be included in the final review.[ 5 ] Disagreements were resolved by discussion or by taking the opinion of a separate reviewer. A summary of this selection process, showing the degree of agreement between reviewers, and a flow diagram that depicts the numbers of screened, included and excluded (with reason for exclusion) studies are often included in the final review.
In this step, from each selected study, relevant data are extracted. This should be done by at least two reviewers independently, and the data then compared to identify any errors in extraction. Standard data extraction forms help in objective data extraction. The data extracted usually contain the name of the author, the year of publication, details of intervention and control treatments, and the number of participants and outcome data in each group. In the review by Safi et al ., four review authors independently extracted data and resolved any differences by discussion.[ 5 ]
Some of the studies included in the review may not report outcomes in accordance with the review methodology. Such missing data can be handled in two ways – by contacting authors of the original study to obtain the necessary data and by using data imputation techniques. Safi et al . used both these approaches – they tried to get data from the trial authors; however, where that failed, they analyzed the primary outcome (mortality) using the best case (i.e. presuming that all the participants in the experimental arm with missing data had survived and those in the control arm with missing mortality data had died – representing the maximum beneficial effect of the intervention) and the worst case (all the participants with missing data in the experimental arm assumed to have died and those in the control arm to have survived – representing the least beneficial effect of the intervention) scenarios.
The overall quality of a systematic review depends on the quality of each of the included studies. Quality of a study is inversely proportional to the potential for bias in its design. In our previous articles on interventional study design in this series, we discussed various methods to reduce bias – such as randomization, allocation concealment, participant and assessor blinding, using objective endpoints, minimizing missing data, the use of intention-to-treat analysis, and complete reporting of all outcomes.[ 6 , 7 ] These features form the basis of the Cochrane Risk of Bias Tool (RoB 2), which is a commonly used instrument to assess the risk of bias in the studies included in a systematic review.[ 8 ] Based on this tool, one can classify each study in a review as having low risk of bias, having some concerns regarding bias, or at high risk of bias. Safi et al . used this tool to classify the included studies as having low or high risk of bias and presented these data in both tabular and graphical formats.[ 5 ]
In some reviews, the authors decide to summarize only studies with a low risk of bias and to exclude those with a high risk of bias. Alternatively, some authors undertake a separate analysis of studies with low risk of bias, besides an analysis of all the studies taken together. The conclusions from such analyses of only high-quality studies may be more robust.
The data extracted from various studies are pooled quantitatively (known as a meta-analysis) or qualitatively (if pooling of results is not considered feasible). For qualitative reviews, data are usually presented in the tabular format, showing the characteristics of each included study, to allow for easier interpretation.
Sensitivity analyses are used to test the robustness of the results of a systematic review by examining the impact of excluding or including studies with certain characteristics. As referred to above, this can be based on the risk of bias (methodological quality), studies with a specific study design, studies with a certain dosage or schedule, or sample size. If results of these different analyses are more-or-less the same, one can be more certain of the validity of the findings of the review. Furthermore, such analyses can help identify whether the effect of the intervention could vary across different levels of another factor. In the beta-blocker review, sensitivity analysis was performed depending on the risk of bias of included studies.[ 5 ]
Cochrane is an organization that works to produce good-quality, updated systematic reviews related to human healthcare and policy, which are accessible to people across the world.[ 9 ] There are more than 7000 Cochrane reviews on various topics. One of its main resources is the Cochrane Library (available at https://www.cochranelibrary.com/ ), which incorporates several databases with different types of high-quality evidence to inform healthcare decisions, including the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Clinical Answers.
The Cochrane handbook is an official guide, prepared by the Cochrane Collaboration, to the process of preparing and maintaining Cochrane systematic reviews.[ 10 ]
Review Manager (RevMan) is a software developed by Cochrane to support the preparation and maintenance of systematic reviews, including tools for performing meta-analysis.[ 11 ] It is freely available in both online (RevMan Web) and offline (RevMan 5.3) versions.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement is an evidence-based minimum set of items for reporting of systematic reviews and meta-analyses of randomized trials.[ 12 ] It can be used both by authors of such studies to improve the completeness of reporting and by reviewers and readers to critically appraise a systematic review. There are several extensions to the PRISMA statement for specific types of reviews. An update is currently underway.
The Meta-analysis of Observational Studies in Epidemiology statement summarizes the recommendations for reporting of meta-analyses in epidemiology.[ 13 ]
PROSPERO is an international database for prospective registration of protocols for systematic reviews in healthcare.[ 14 ] It aims to avoid duplication of and to improve transparency in reporting of results of such reviews.
Conflicts of interest.
There are no conflicts of interest.
Before beginning your paper, you need to decide how you plan to design the study .
The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and data. Note that the research problem determines the type of design you choose, not the other way around!
De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Trochim, William M.K. Research Methods Knowledge Base. 2006.
The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible . In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test the underlying assumptions of a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.
With this in mind, a common mistake made by researchers is that they begin their investigations before they have thought critically about what information is required to address the research problem. Without attending to these design issues beforehand, the overall research problem will not be adequately addressed and any conclusions drawn will run the risk of being weak and unconvincing. As a consequence, the overall validity of the study will be undermined.
The length and complexity of describing the research design in your paper can vary considerably, but any well-developed description will achieve the following :
The research design is usually incorporated into the introduction of your paper . You can obtain an overall sense of what to do by reviewing studies that have utilized the same research design [e.g., using a case study approach]. This can help you develop an outline to follow for your own paper.
NOTE: Use the SAGE Research Methods Online and Cases and the SAGE Research Methods Videos databases to search for scholarly resources on how to apply specific research designs and methods . The Research Methods Online database contains links to more than 175,000 pages of SAGE publisher's book, journal, and reference content on quantitative, qualitative, and mixed research methodologies. Also included is a collection of case studies of social research projects that can be used to help you better understand abstract or complex methodological concepts. The Research Methods Videos database contains hours of tutorials, interviews, video case studies, and mini-documentaries covering the entire research process.
Creswell, John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: Sage, 2018; De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Leedy, Paul D. and Jeanne Ellis Ormrod. Practical Research: Planning and Design . Tenth edition. Boston, MA: Pearson, 2013; Vogt, W. Paul, Dianna C. Gardner, and Lynne M. Haeffele. When to Use What Research Design . New York: Guilford, 2012.
Definition and Purpose
The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.
What do these studies tell you ?
What these studies don't tell you ?
Coghlan, David and Mary Brydon-Miller. The Sage Encyclopedia of Action Research . Thousand Oaks, CA: Sage, 2014; Efron, Sara Efrat and Ruth Ravid. Action Research in Education: A Practical Guide . New York: Guilford, 2013; Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Lincoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605; McNiff, Jean. Writing and Doing Action Research . London: Sage, 2014; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.
A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey or comprehensive comparative inquiry. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about an issue or phenomenon.
Case Studies. Writing@CSU. Colorado State University; Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Greenhalgh, Trisha, editor. Case Study Evaluation: Past, Present and Future Challenges . Bingley, UK: Emerald Group Publishing, 2015; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.
Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.
Conditions necessary for determining causality:
Beach, Derek and Rasmus Brun Pedersen. Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing . Ann Arbor, MI: University of Michigan Press, 2016; Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Brewer, Ernest W. and Jennifer Kubn. “Causal-Comparative Design.” In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 125-132; Causal Research Design: Experimentation. Anonymous SlideShare Presentation; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base. 2006.
Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."
Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Glenn, Norval D, editor. Cohort Analysis . 2nd edition. Thousand Oaks, CA: Sage, 2005; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Payne, Geoff. “Cohort Study.” In The SAGE Dictionary of Social Research Methods . Victor Jupp, editor. (Thousand Oaks, CA: Sage, 2006), pp. 31-33; Study Design 101. Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study. Wikipedia.
Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure differences between or from among a variety of people, subjects, or phenomena rather than a process of change. As such, researchers using this design can only employ a relatively passive approach to making causal inferences based on findings.
Bethlehem, Jelke. "7: Cross-sectional Research." In Research Methodology in the Social, Behavioural and Life Sciences . Herman J Adèr and Gideon J Mellenbergh, editors. (London, England: Sage, 1999), pp. 110-43; Bourque, Linda B. “Cross-Sectional Design.” In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao. (Thousand Oaks, CA: 2004), pp. 230-231; Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design Application, Strengths and Weaknesses of Cross-Sectional Studies. Healthknowledge, 2009. Cross-Sectional Study. Wikipedia.
Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; Given, Lisa M. "Descriptive Research." In Encyclopedia of Measurement and Statistics . Neil J. Salkind and Kristin Rasmussen, editors. (Thousand Oaks, CA: Sage, 2007), pp. 251-254; McNabb, Connie. Descriptive Research Methodologies. Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design, September 26, 2008; Erickson, G. Scott. "Descriptive Research Design." In New Methods of Market Research and Analysis . (Northampton, MA: Edward Elgar Publishing, 2017), pp. 51-77; Sahin, Sagufta, and Jayanta Mete. "A Brief Study on Descriptive Research: Its Nature and Application in Social Science." International Journal of Research and Analysis in Humanities 1 (2021): 11; K. Swatzell and P. Jennings. “Descriptive Research: The Nuts and Bolts.” Journal of the American Academy of Physician Assistants 20 (2007), pp. 55-56; Kane, E. Doing Your Own Research: Basic Descriptive Research in the Social Sciences and Humanities . London: Marion Boyars, 1985.
A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. School of Psychology, University of New England, 2000; Chow, Siu L. "Experimental Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 448-453; "Experimental Design." In Social Research Methods . Nicholas Walliman, editor. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Kirk, Roger E. Experimental Design: Procedures for the Behavioral Sciences . 4th edition. Thousand Oaks, CA: Sage, 2013; Trochim, William M.K. Experimental Design. Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research. Slideshare presentation.
An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome . The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.
The goals of exploratory research are intended to produce the following possible insights:
Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Streb, Christoph K. "Exploratory Case Study." In Encyclopedia of Case Study Research . Albert J. Mills, Gabrielle Durepos and Eiden Wiebe, editors. (Thousand Oaks, CA: Sage, 2010), pp. 372-374; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research. Wikipedia.
Sometimes referred to as ethnography or participant observation, designs around field research encompass a variety of interpretative procedures [e.g., observation and interviews] rooted in qualitative approaches to studying people individually or in groups while inhabiting their natural environment as opposed to using survey instruments or other forms of impersonal methods of data gathering. Information acquired from observational research takes the form of “ field notes ” that involves documenting what the researcher actually sees and hears while in the field. Findings do not consist of conclusive statements derived from numbers and statistics because field research involves analysis of words and observations of behavior. Conclusions, therefore, are developed from an interpretation of findings that reveal overriding themes, concepts, and ideas. More information can be found HERE .
What these studies don't tell you
The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute a hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.
Howell, Martha C. and Walter Prevenier. From Reliable Sources: An Introduction to Historical Methods . Ithaca, NY: Cornell University Press, 2001; Lundy, Karen Saucier. "Historical Research." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor. (Thousand Oaks, CA: Sage, 2008), pp. 396-400; Marius, Richard. and Melvin E. Page. A Short Guide to Writing about History . 9th edition. Boston, MA: Pearson, 2015; Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58; Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.
A longitudinal study follows the same sample over time and makes repeated observations. For example, with longitudinal surveys, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study sometimes referred to as a panel study.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Forgues, Bernard, and Isabelle Vandangeon-Derumez. "Longitudinal Analyses." In Doing Management Research . Raymond-Alain Thiétart and Samantha Wauchope, editors. (London, England: Sage, 2001), pp. 332-351; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Menard, Scott, editor. Longitudinal Research . Thousand Oaks, CA: Sage, 2002; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study. Wikipedia.
Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated. A well-designed meta-analysis depends upon strict adherence to the criteria used for selecting studies and the availability of information in each study to properly analyze their findings. Lack of information can severely limit the type of analyzes and conclusions that can be reached. In addition, the more dissimilarity there is in the results among individual studies [heterogeneity], the more difficult it is to justify interpretations that govern a valid synopsis of results. A meta-analysis needs to fulfill the following requirements to ensure the validity of your findings:
Beck, Lewis W. "The Synoptic Method." The Journal of Philosophy 36 (1939): 337-345; Cooper, Harris, Larry V. Hedges, and Jeffrey C. Valentine, eds. The Handbook of Research Synthesis and Meta-Analysis . 2nd edition. New York: Russell Sage Foundation, 2009; Guzzo, Richard A., Susan E. Jackson and Raymond A. Katzell. “Meta-Analysis Analysis.” In Research in Organizational Behavior , Volume 9. (Greenwich, CT: JAI Press, 1987), pp 407-442; Lipsey, Mark W. and David B. Wilson. Practical Meta-Analysis . Thousand Oaks, CA: Sage Publications, 2001; Study Design 101. Meta-Analysis. The Himmelfarb Health Sciences Library, George Washington University; Timulak, Ladislav. “Qualitative Meta-Analysis.” In The SAGE Handbook of Qualitative Data Analysis . Uwe Flick, editor. (Los Angeles, CA: Sage, 2013), pp. 481-495; Walker, Esteban, Adrian V. Hernandez, and Micheal W. Kattan. "Meta-Analysis: It's Strengths and Limitations." Cleveland Clinic Journal of Medicine 75 (June 2008): 431-439.
Burch, Patricia and Carolyn J. Heinrich. Mixed Methods for Policy Research and Program Evaluation . Thousand Oaks, CA: Sage, 2016; Creswell, John w. et al. Best Practices for Mixed Methods Research in the Health Sciences . Bethesda, MD: Office of Behavioral and Social Sciences Research, National Institutes of Health, 2010Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 4th edition. Thousand Oaks, CA: Sage Publications, 2014; Domínguez, Silvia, editor. Mixed Methods Social Networks Research . Cambridge, UK: Cambridge University Press, 2014; Hesse-Biber, Sharlene Nagy. Mixed Methods Research: Merging Theory with Practice . New York: Guilford Press, 2010; Niglas, Katrin. “How the Novice Researcher Can Make Sense of Mixed Methods Designs.” International Journal of Multiple Research Approaches 3 (2009): 34-46; Onwuegbuzie, Anthony J. and Nancy L. Leech. “Linking Research Questions to Mixed Methods Data Analysis Procedures.” The Qualitative Report 11 (September 2006): 474-498; Tashakorri, Abbas and John W. Creswell. “The New Era of Mixed Methods.” Journal of Mixed Methods Research 1 (January 2007): 3-7; Zhanga, Wanqing. “Mixed Methods Application in Health Intervention Research: A Multiple Case Study.” International Journal of Multiple Research Approaches 8 (2014): 24-35 .
This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.
Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Payne, Geoff and Judy Payne. "Observation." In Key Concepts in Social Research . The SAGE Key Concepts series. (London, England: Sage, 2004), pp. 158-162; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010;Williams, J. Patrick. "Nonparticipant Observation." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor.(Thousand Oaks, CA: Sage, 2008), pp. 562-563.
Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:
Burton, Dawn. "Part I, Philosophy of the Social Sciences." In Research Training for Social Scientists . (London, England: Sage, 2000), pp. 1-5; Chapter 4, Research Methodology and Design. Unisa Institutional Repository (UnisaIR), University of South Africa; Jarvie, Ian C., and Jesús Zamora-Bonilla, editors. The SAGE Handbook of the Philosophy of Social Sciences . London: Sage, 2011; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, DC: Falmer Press, 1994; McLaughlin, Hugh. "The Philosophy of Social Research." In Understanding Social Work Research . 2nd edition. (London: SAGE Publications Ltd., 2012), pp. 24-47; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.
Betensky, Rebecca. Harvard University, Course Lecture Note slides; Bovaird, James A. and Kevin A. Kupzyk. "Sequential Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 1347-1352; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Henry, Gary T. "Sequential Sampling." In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao, editors. (Thousand Oaks, CA: Sage, 2004), pp. 1027-1028; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis. Wikipedia.
Denyer, David and David Tranfield. "Producing a Systematic Review." In The Sage Handbook of Organizational Research Methods . David A. Buchanan and Alan Bryman, editors. ( Thousand Oaks, CA: Sage Publications, 2009), pp. 671-689; Foster, Margaret J. and Sarah T. Jewell, editors. Assembling the Pieces of a Systematic Review: A Guide for Librarians . Lanham, MD: Rowman and Littlefield, 2017; Gough, David, Sandy Oliver, James Thomas, editors. Introduction to Systematic Reviews . 2nd edition. Los Angeles, CA: Sage Publications, 2017; Gopalakrishnan, S. and P. Ganeshkumar. “Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare.” Journal of Family Medicine and Primary Care 2 (2013): 9-14; Gough, David, James Thomas, and Sandy Oliver. "Clarifying Differences between Review Designs and Methods." Systematic Reviews 1 (2012): 1-9; Khan, Khalid S., Regina Kunz, Jos Kleijnen, and Gerd Antes. “Five Steps to Conducting a Systematic Review.” Journal of the Royal Society of Medicine 96 (2003): 118-121; Mulrow, C. D. “Systematic Reviews: Rationale for Systematic Reviews.” BMJ 309:597 (September 1994); O'Dwyer, Linda C., and Q. Eileen Wafford. "Addressing Challenges with Systematic Review Teams through Effective Communication: A Case Report." Journal of the Medical Library Association 109 (October 2021): 643-647; Okoli, Chitu, and Kira Schabram. "A Guide to Conducting a Systematic Literature Review of Information Systems Research." Sprouts: Working Papers on Information Systems 10 (2010); Siddaway, Andy P., Alex M. Wood, and Larry V. Hedges. "How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-analyses, and Meta-syntheses." Annual Review of Psychology 70 (2019): 747-770; Torgerson, Carole J. “Publication Bias: The Achilles’ Heel of Systematic Reviews?” British Journal of Educational Studies 54 (March 2006): 89-102; Torgerson, Carole. Systematic Reviews . New York: Continuum, 2003.
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Many health professionals, students and academics including health researchers will have grappled with the challenges of undertaking a review of the literature and choosing a suitable design or framework to structure the review. For many undergraduate and master’s healthcare students their final year dissertation involves undertaking a review of the literature as a way of assessing their understanding and ability to critique and apply research findings to practice. For PhD and Master’s by Research students, a rigorous summary of research is usually expected to identify the state of knowledge and gaps in the evidence related to their topic focus and to provide justification for the empirical work they subsequently undertake. From discussions with students and colleagues, there appears to be much confusion about review designs and in particular the use and perhaps misuse of the term ‘systematic review’. For example, some quantitatively focused researchers subscribe to a ‘Cochrane’ approach as the only method to undertake a ‘systematic review’, with other researchers having a more pragmatic view, recognising the different purposes of a review and ways of applying systematic methods to undertake a review of the literature. Traditionally, systematic reviews have included only quantitative, experimental studies, usually randomised controlled trials. 1 More recently, systematic reviews of qualitative studies have emerged, 2 and integrative reviews which include both quantitative and qualitative studies. 3
In this article, we will build on a previous Research Made Simple article that outlined the key principles of undertaking a review of the literature in a structured and systemic way 4 by further exploring review designs and their key features to assist you in choosing an appropriate design. A reference to an example of each review outlined will be provided.
The purpose of a review of healthcare literature is primarily to summarise the knowledge around a specific question or topic, or to make recommendations that can support health professionals and organisations make decisions about a specific intervention or care issue. 5 In addition, reviews can highlight gaps in knowledge to guide future research. The most common approach to summarising, interpreting and making recommendations from synthesising the evidence in healthcare is a traditional systematic review of the literature to answer a specific clinical question. These reviews follow explicit, prespecified and reproducible methods in order to identify, evaluate and summarise the findings of all relevant individual studies. 6 Systematic reviews are typically associated with evaluating interventions, and therefore where appropriate, combine the results of several empirical studies to give a more reliable estimate of an intervention’s effectiveness than a single study. 6 However, over the past decade the range of approaches to reviewing the literature has expanded to reflect broader types of evidence/research designs and questions reflecting the increased complexity of healthcare. While this should be welcomed, this adds to the challenges in choosing the best review approach/design that meets the purpose of the review.
Key features of the common types of healthcare review
In summary, we have identified and described a variety of review designs and offered reasons for choosing a specific approach. Reviews are vital research methodology and help make sense of a body of research. They offer a succinct analysis which avoids the need for accessing individual research reports included in the review, increasingly vital for health professionals in light of the increasing vast amount of literature available. The field of reviews of the literature continues to change and while new approaches are emerging, ensuring methods are robust and remain paramount. This paper offers guidance to help direct choices when deciding on a review and provides an example of each approach.
Competing interests None declared.
Provenance and peer review Commissioned; internally peer reviewed.
Reproduced from Grant, M. J. and Booth, A. (2009), A typology of reviews: an analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26: 91–108. doi:10.1111/j.1471-1842.2009.00848.x
Aims to demonstrate writer has extensively researched literature and critically evaluated its quality. Goes beyond mere description to include degree of analysis and conceptual innovation. Typically results in hypothesis or mode | Seeks to identify most significant items in the field | No formal quality assessment. Attempts to evaluate according to contribution | Typically narrative, perhaps conceptual or chronological | Significant component: seeks to identify conceptual contribution to embody existing or derive new theory | |
Generic term: published materials that provide examination of recent or current literature. Can cover wide range of subjects at various levels of completeness and comprehensiveness. May include research findings | May or may not include comprehensive searching | May or may not include quality assessment | Typically narrative | Analysis may be chronological, conceptual, thematic, etc. | |
Mapping review/ systematic map | Map out and categorize existing literature from which to commission further reviews and/or primary research by identifying gaps in research literature | Completeness of searching determined by time/scope constraints | No formal quality assessment | May be graphical and tabular | Characterizes quantity and quality of literature, perhaps by study design and other key features. May identify need for primary or secondary research |
Technique that statistically combines the results of quantitative studies to provide a more precise effect of the results | Aims for exhaustive, comprehensive searching. May use funnel plot to assess completeness | Quality assessment may determine inclusion/ exclusion and/or sensitivity analyses | Graphical and tabular with narrative commentary | Numerical analysis of measures of effect assuming absence of heterogeneity | |
Refers to any combination of methods where one significant component is a literature review (usually systematic). Within a review context it refers to a combination of review approaches for example combining quantitative with qualitative research or outcome with process studies | Requires either very sensitive search to retrieve all studies or separately conceived quantitative and qualitative strategies | Requires either a generic appraisal instrument or separate appraisal processes with corresponding checklists | Typically both components will be presented as narrative and in tables. May also employ graphical means of integrating quantitative and qualitative studies | Analysis may characterise both literatures and look for correlations between characteristics or use gap analysis to identify aspects absent in one literature but missing in the other | |
Generic term: summary of the [medical] literature that attempts to survey the literature and describe its characteristics | May or may not include comprehensive searching (depends whether systematic overview or not) | May or may not include quality assessment (depends whether systematic overview or not) | Synthesis depends on whether systematic or not. Typically narrative but may include tabular features | Analysis may be chronological, conceptual, thematic, etc. | |
Method for integrating or comparing the findings from qualitative studies. It looks for ‘themes’ or ‘constructs’ that lie in or across individual qualitative studies | May employ selective or purposive sampling | Quality assessment typically used to mediate messages not for inclusion/exclusion | Qualitative, narrative synthesis | Thematic analysis, may include conceptual models | |
Assessment of what is already known about a policy or practice issue, by using systematic review methods to search and critically appraise existing research | Completeness of searching determined by time constraints | Time-limited formal quality assessment | Typically narrative and tabular | Quantities of literature and overall quality/direction of effect of literature | |
Preliminary assessment of potential size and scope of available research literature. Aims to identify nature and extent of research evidence (usually including ongoing research) | Completeness of searching determined by time/scope constraints. May include research in progress | No formal quality assessment | Typically tabular with some narrative commentary | Characterizes quantity and quality of literature, perhaps by study design and other key features. Attempts to specify a viable review | |
Tend to address more current matters in contrast to other combined retrospective and current approaches. May offer new perspectives | Aims for comprehensive searching of current literature | No formal quality assessment | Typically narrative, may have tabular accompaniment | Current state of knowledge and priorities for future investigation and research | |
Seeks to systematically search for, appraise and synthesis research evidence, often adhering to guidelines on the conduct of a review | Aims for exhaustive, comprehensive searching | Quality assessment may determine inclusion/exclusion | Typically narrative with tabular accompaniment | What is known; recommendations for practice. What remains unknown; uncertainty around findings, recommendations for future research | |
Combines strengths of critical review with a comprehensive search process. Typically addresses broad questions to produce ‘best evidence synthesis’ | Aims for exhaustive, comprehensive searching | May or may not include quality assessment | Minimal narrative, tabular summary of studies | What is known; recommendations for practice. Limitations | |
Attempt to include elements of systematic review process while stopping short of systematic review. Typically conducted as postgraduate student assignment | May or may not include comprehensive searching | May or may not include quality assessment | Typically narrative with tabular accompaniment | What is known; uncertainty around findings; limitations of methodology | |
Specifically refers to review compiling evidence from multiple reviews into one accessible and usable document. Focuses on broad condition or problem for which there are competing interventions and highlights reviews that address these interventions and their results | Identification of component reviews, but no search for primary studies | Quality assessment of studies within component reviews and/or of reviews themselves | Graphical and tabular with narrative commentary | What is known; recommendations for practice. What remains unknown; recommendations for future research |
A literature review is an integrated analysis -- not just a summary-- of scholarly writings and other relevant evidence related directly to your research question. That is, it represents a synthesis of the evidence that provides background information on your topic and shows a association between the evidence and your research question.
A literature review may be a stand alone work or the introduction to a larger research paper, depending on the assignment. Rely heavily on the guidelines your instructor has given you.
Why is it important?
A literature review is important because it:
APA Style Blog - for those harder to find answers
Your literature review should be guided by your central research question. The literature represents background and research developments related to a specific research question, interpreted and analyzed by you in a synthesized way.
How many studies do you need to look at? How comprehensive should it be? How many years should it cover?
Make a list of the databases you will search.
Where to find databases:
Some questions to help you analyze the research:
Tips:
Meta-Analysis A way of combining data from many different research studies. A meta-analysis is a statistical process that combines the findings from individual studies. Example : Anxiety outcomes after physical activity interventions: meta-analysis findings . Conn V. Nurs Res . 2010 May-Jun;59(3):224-31.
Systematic Review A summary of the clinical literature. A systematic review is a critical assessment and evaluation of all research studies that address a particular clinical issue. The researchers use an organized method of locating, assembling, and evaluating a body of literature on a particular topic using a set of specific criteria. A systematic review typically includes a description of the findings of the collection of research studies. The systematic review may also include a quantitative pooling of data, called a meta-analysis. Example : Complementary and alternative medicine use among women with breast cancer: a systematic review. Wanchai A, Armer JM, Stewart BR. Clin J Oncol Nurs . 2010 Aug;14(4):E45-55.
Randomized Controlled Trial A controlled clinical trial that randomly (by chance) assigns participants to two or more groups. There are various methods to randomize study participants to their groups. Example : Meditation or exercise for preventing acute respiratory infection: a randomized controlled trial . Barrett B, et al. Ann Fam Med . 2012 Jul-Aug;10(4):337-46.
Cohort Study (Prospective Observational Study) A clinical research study in which people who presently have a certain condition or receive a particular treatment are followed over time and compared with another group of people who are not affected by the condition. Example : Smokeless tobacco cessation in South Asian communities: a multi-centre prospective cohort study . Croucher R, et al. Addiction. 2012 Dec;107 Suppl 2:45-52.
Case-control Study Case-control studies begin with the outcomes and do not follow people over time. Researchers choose people with a particular result (the cases) and interview the groups or check their records to ascertain what different experiences they had. They compare the odds of having an experience with the outcome to the odds of having an experience without the outcome. Example : Non-use of bicycle helmets and risk of fatal head injury: a proportional mortality, case-control study . Persaud N, et al. CMAJ . 2012 Nov 20;184(17):E921-3.
Cross-sectional study The observation of a defined population at a single point in time or time interval. Exposure and outcome are determined simultaneously. Example : Fasting might not be necessary before lipid screening: a nationally representative cross-sectional study . Steiner MJ, et al. Pediatrics . 2011 Sep;128(3):463-70.
Case Reports and Series A report on a series of patients with an outcome of interest. No control group is involved. Example : Students mentoring students in a service-learning clinical supervision experience: an educational case report . Lattanzi JB, et al. Phys Ther . 2011 Oct;91(10):1513-24.
Ideas, Editorials, Opinions Put forth by experts in the field. Example : Health and health care for the 21st century: for all the people . Koop CE. Am J Public Health . 2006 Dec;96(12):2090-2.
Animal Research Studies Studies conducted using animal subjects. Example : Intranasal leptin reduces appetite and induces weight loss in rats with diet-induced obesity (DIO) . Schulz C, Paulus K, Jöhren O, Lehnert H. Endocrinology . 2012 Jan;153(1):143-53.
Test-tube Lab Research "Test tube" experiments conducted in a controlled laboratory setting.
Adapted from Study Designs. In NICHSR Introduction to Health Services Research: a Self-Study Course. http://www.nlm.nih.gov/nichsr/ihcm/06studies/studies03.html and Glossary of EBM Terms. http://www.cebm.utoronto.ca/glossary/index.htm#top
Bias - Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.
Case Control Studies - Studies which start with the identification of persons with a disease of interest and a control (comparison, referent) group without the disease. The relationship of an attribute to the disease is examined by comparing diseased and non-diseased persons with regard to the frequency or levels of the attribute in each group.
Causality - The relating of causes to the effects they produce. Causes are termed necessary when they must always precede an effect and sufficient when they initiate or produce an effect. Any of several factors may be associated with the potential disease causation or outcome, including predisposing factors, enabling factors, precipitating factors, reinforcing factors, and risk factors.
Control Groups - Groups that serve as a standard for comparison in experimental studies. They are similar in relevant characteristics to the experimental group but do not receive the experimental intervention.
Controlled Clinical Trials - Clinical trials involving one or more test treatments, at least one control treatment, specified outcome measures for evaluating the studied intervention, and a bias-free method for assigning patients to the test treatment. The treatment may be drugs, devices, or procedures studied for diagnostic, therapeutic, or prophylactic effectiveness. Control measures include placebos, active medicines, no-treatment, dosage forms and regimens, historical comparisons, etc. When randomization using mathematical techniques, such as the use of a random numbers table, is employed to assign patients to test or control treatments, the trials are characterized as Randomized Controlled Trials.
Cost-Benefit Analysis - A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. Cost effectiveness compares alternative ways to achieve a specific set of results.
Cross-Over Studies - Studies comparing two or more treatments or interventions in which the subjects or patients, upon completion of the course of one treatment, are switched to another. In the case of two treatments, A and B, half the subjects are randomly allocated to receive these in the order A, B and half to receive them in the order B, A. A criticism of this design is that effects of the first treatment may carry over into the period when the second is given.
Cross-Sectional Studies - Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.
Double-Blind Method - A method of studying a drug or procedure in which both the subjects and investigators are kept unaware of who is actually getting which specific treatment.
Empirical Research - The study, based on direct observation, use of statistical records, interviews, or experimental methods, of actual practices or the actual impact of practices or policies.
Evaluation Studies - Works consisting of studies determining the effectiveness or utility of processes, personnel, and equipment.
Genome-Wide Association Study - An analysis comparing the allele frequencies of all available (or a whole genome representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.
Intention to Treat Analysis - Strategy for the analysis of Randomized Controlled Trial that compares patients in the groups to which they were originally randomly assigned.
Logistic Models - Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
Longitudinal Studies - Studies in which variables relating to an individual or group of individuals are assessed over a period of time.
Lost to Follow-Up - Study subjects in cohort studies whose outcomes are unknown e.g., because they could not or did not wish to attend follow-up visits.
Matched-Pair Analysis - A type of analysis in which subjects in a study group and a comparison group are made comparable with respect to extraneous factors by individually pairing study subjects with the comparison group subjects (e.g., age-matched controls).
Meta-Analysis - Works consisting of studies using a quantitative method of combining the results of independent studies (usually drawn from the published literature) and synthesizing summaries and conclusions which may be used to evaluate therapeutic effectiveness, plan new studies, etc. It is often an overview of clinical trials. It is usually called a meta-analysis by the author or sponsoring body and should be differentiated from reviews of literature.
Numbers Needed To Treat - Number of patients who need to be treated in order to prevent one additional bad outcome. It is the inverse of Absolute Risk Reduction.
Odds Ratio - The ratio of two odds. The exposure-odds ratio for case control data is the ratio of the odds in favor of exposure among cases to the odds in favor of exposure among noncases. The disease-odds ratio for a cohort or cross section is the ratio of the odds in favor of disease among the exposed to the odds in favor of disease among the unexposed. The prevalence-odds ratio refers to an odds ratio derived cross-sectionally from studies of prevalent cases.
Patient Selection - Criteria and standards used for the determination of the appropriateness of the inclusion of patients with specific conditions in proposed treatment plans and the criteria used for the inclusion of subjects in various clinical trials and other research protocols.
Predictive Value of Tests - In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
Prospective Studies - Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.
Qualitative Studies - Research that derives data from observation, interviews, or verbal interactions and focuses on the meanings and interpretations of the participants.
Quantitative Studies - Quantitative research is research that uses numerical analysis.
Random Allocation - A process involving chance used in therapeutic trials or other research endeavor for allocating experimental subjects, human or animal, between treatment and control groups, or among treatment groups. It may also apply to experiments on inanimate objects.
Randomized Controlled Trial - Clinical trials that involve at least one test treatment and one control treatment, concurrent enrollment and follow-up of the test- and control-treated groups, and in which the treatments to be administered are selected by a random process, such as the use of a random-numbers table.
Reproducibility of Results - The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Retrospective Studies - Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.
Sample Size - The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups.
Sensitivity and Specificity - Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition.
Single-Blind Method - A method in which either the observer(s) or the subject(s) is kept ignorant of the group to which the subjects are assigned.
Time Factors - Elements of limited time intervals, contributing to particular results or situations.
Source: NLM MeSH Database
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Literature Review and Research Design
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Designing a research project is possibly the most difficult task a dissertation writer faces. It is fraught with uncertainty: what is the best subject? What is the best method? For every answer found, there are often multiple subsequent questions, so it’s easy to get lost in theoretical debates and buried under a mountain of literature.
This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literature—skills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly communities that will help graduate researchers refine, define, and express their own scholarly vision and voice. This orientation on research as an exploratory practice, rather than merely a series of predetermined steps in a systematic method, allows the researcher to deal with the uncertainties and changes that come with learning new ideas and new perspectives.
The focus on the practical elements of research design makes this book an invaluable resource for graduate students writing dissertations. Practicing research allows room for experiment, error, and learning, ultimately helping graduate researchers use the literature effectively to build a solid scholarly foundation for their dissertation research project.
Part i | 2 pages, on research, chapter 1 | 15 pages, research philosophy, chapter 2 | 23 pages, research practice, part ii | 4 pages, reading literature, chapter 3 | 23 pages, chapter 4 | 26 pages, managing the literature, chapter 5 | 17 pages, deep reading, part iii | 4 pages, writing about literature, chapter 6 | 22 pages, writing with literature, chapter 7 | 19 pages, writing a literature review, chapter | 2 pages.
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Methodology
Published on June 15, 2022 by Shaun Turney . Revised on November 20, 2023.
A systematic review is a type of review that uses repeatable methods to find, select, and synthesize all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer.
They answered the question “What is the effectiveness of probiotics in reducing eczema symptoms and improving quality of life in patients with eczema?”
In this context, a probiotic is a health product that contains live microorganisms and is taken by mouth. Eczema is a common skin condition that causes red, itchy skin.
What is a systematic review, systematic review vs. meta-analysis, systematic review vs. literature review, systematic review vs. scoping review, when to conduct a systematic review, pros and cons of systematic reviews, step-by-step example of a systematic review, other interesting articles, frequently asked questions about systematic reviews.
A review is an overview of the research that’s already been completed on a topic.
What makes a systematic review different from other types of reviews is that the research methods are designed to reduce bias . The methods are repeatable, and the approach is formal and systematic:
Although multiple sets of guidelines exist, the Cochrane Handbook for Systematic Reviews is among the most widely used. It provides detailed guidelines on how to complete each step of the systematic review process.
Systematic reviews are most commonly used in medical and public health research, but they can also be found in other disciplines.
Systematic reviews typically answer their research question by synthesizing all available evidence and evaluating the quality of the evidence. Synthesizing means bringing together different information to tell a single, cohesive story. The synthesis can be narrative ( qualitative ), quantitative , or both.
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Systematic reviews often quantitatively synthesize the evidence using a meta-analysis . A meta-analysis is a statistical analysis, not a type of review.
A meta-analysis is a technique to synthesize results from multiple studies. It’s a statistical analysis that combines the results of two or more studies, usually to estimate an effect size .
A literature review is a type of review that uses a less systematic and formal approach than a systematic review. Typically, an expert in a topic will qualitatively summarize and evaluate previous work, without using a formal, explicit method.
Although literature reviews are often less time-consuming and can be insightful or helpful, they have a higher risk of bias and are less transparent than systematic reviews.
Similar to a systematic review, a scoping review is a type of review that tries to minimize bias by using transparent and repeatable methods.
However, a scoping review isn’t a type of systematic review. The most important difference is the goal: rather than answering a specific question, a scoping review explores a topic. The researcher tries to identify the main concepts, theories, and evidence, as well as gaps in the current research.
Sometimes scoping reviews are an exploratory preparation step for a systematic review, and sometimes they are a standalone project.
A systematic review is a good choice of review if you want to answer a question about the effectiveness of an intervention , such as a medical treatment.
To conduct a systematic review, you’ll need the following:
A systematic review has many pros .
Systematic reviews also have a few cons .
The 7 steps for conducting a systematic review are explained with an example.
Formulating the research question is probably the most important step of a systematic review. A clear research question will:
A good research question for a systematic review has four components, which you can remember with the acronym PICO :
You can rearrange these four components to write your research question:
Sometimes, you may want to include a fifth component, the type of study design . In this case, the acronym is PICOT .
Their research question was:
A protocol is a document that contains your research plan for the systematic review. This is an important step because having a plan allows you to work more efficiently and reduces bias.
Your protocol should include the following components:
If you’re a professional seeking to publish your review, it’s a good idea to bring together an advisory committee . This is a group of about six people who have experience in the topic you’re researching. They can help you make decisions about your protocol.
It’s highly recommended to register your protocol. Registering your protocol means submitting it to a database such as PROSPERO or ClinicalTrials.gov .
Searching for relevant studies is the most time-consuming step of a systematic review.
To reduce bias, it’s important to search for relevant studies very thoroughly. Your strategy will depend on your field and your research question, but sources generally fall into these four categories:
At this stage of your review, you won’t read the articles yet. Simply save any potentially relevant citations using bibliographic software, such as Scribbr’s APA or MLA Generator .
Applying the selection criteria is a three-person job. Two of you will independently read the studies and decide which to include in your review based on the selection criteria you established in your protocol . The third person’s job is to break any ties.
To increase inter-rater reliability , ensure that everyone thoroughly understands the selection criteria before you begin.
If you’re writing a systematic review as a student for an assignment, you might not have a team. In this case, you’ll have to apply the selection criteria on your own; you can mention this as a limitation in your paper’s discussion.
You should apply the selection criteria in two phases:
It’s very important to keep a meticulous record of why you included or excluded each article. When the selection process is complete, you can summarize what you did using a PRISMA flow diagram .
Next, Boyle and colleagues found the full texts for each of the remaining studies. Boyle and Tang read through the articles to decide if any more studies needed to be excluded based on the selection criteria.
When Boyle and Tang disagreed about whether a study should be excluded, they discussed it with Varigos until the three researchers came to an agreement.
Extracting the data means collecting information from the selected studies in a systematic way. There are two types of information you need to collect from each study:
You should collect this information using forms. You can find sample forms in The Registry of Methods and Tools for Evidence-Informed Decision Making and the Grading of Recommendations, Assessment, Development and Evaluations Working Group .
Extracting the data is also a three-person job. Two people should do this step independently, and the third person will resolve any disagreements.
They also collected data about possible sources of bias, such as how the study participants were randomized into the control and treatment groups.
Synthesizing the data means bringing together the information you collected into a single, cohesive story. There are two main approaches to synthesizing the data:
Generally, you should use both approaches together whenever possible. If you don’t have enough data, or the data from different studies aren’t comparable, then you can take just a narrative approach. However, you should justify why a quantitative approach wasn’t possible.
Boyle and colleagues also divided the studies into subgroups, such as studies about babies, children, and adults, and analyzed the effect sizes within each group.
The purpose of writing a systematic review article is to share the answer to your research question and explain how you arrived at this answer.
Your article should include the following sections:
To verify that your report includes everything it needs, you can use the PRISMA checklist .
Once your report is written, you can publish it in a systematic review database, such as the Cochrane Database of Systematic Reviews , and/or in a peer-reviewed journal.
In their report, Boyle and colleagues concluded that probiotics cannot be recommended for reducing eczema symptoms or improving quality of life in patients with eczema. Note Generative AI tools like ChatGPT can be useful at various stages of the writing and research process and can help you to write your systematic review. However, we strongly advise against trying to pass AI-generated text off as your own work.
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .
It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.
A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .
An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .
A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.
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International Journal of STEM Education volume 11 , Article number: 43 ( 2024 ) Cite this article
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This study aimed to analyze articles published in the Web of Science database from 2012 to 2021 to examine the educational goals and instructional designs for STEM education. We selected articles based on the following criteria: (a) empirical research; (b) incorporating instructional design and strategies into STEM teaching; (c) including intervention; (d) focusing on K-12 education and on assessment of learning outcomes; and (e) excluding higher education and STEAM education. Based on the criteria, 229 articles were selected for coding educational goals and instructional designs for STEM education. The aspects of STEM educational goals were coded including engagement and career choice, STEM literacy, and twenty-first century competencies. The categories of instructional designs for STEM education were examined including design-based learning, inquiry-based learning, project-based learning, and problem-based learning. The results showed that engagement and career choices and STEM literacy were mainly emphasized in STEM education. Design-based learning was adopted more than inquiry-based, project-based, or problem-based learning, and this instructional design was mainly used to achieve STEM literacy. It is suggested that studies on twenty-first century competencies may require more research efforts in future STEM education research.
Emphasizing STEM (science, technology, engineering, and mathematics) has been the main focus of policy makers in many countries (English, 2016 ; National Academy of Engineering & National Research Council, 2014 ; National Research Council, 2012 , 2013 ) to meet economic challenges (Kelley & Knowles, 2016 ). Educational systems are accordingly prioritizing STEM to prepare students’ capability for the workplace to face the sophisticated technologies and competitive economy (Kayan-Fadlelmula et al., 2022 ). Hence, students are expected to be interested in STEM so that they will engage in and pursue careers in STEM-related fields (Lie et al., 2019 ; Struyf et al., 2019 ). Besides, we need a new generation that has the abilities to develop proficient knowledge, to apply such knowledge to solve problems, and to face existing and upcoming issues of the twenty-first century (Bybee, 2010 ).
Although STEM education has been proved to benefit students, there is a lack of understanding of instructional design for STEM education, despite the fact that such understanding is critical to research and to classroom practices. Limited understanding of relevant instructional design may lead to problems in implementing STEM education in the classroom. There is hence a need to examine educational goals, specific designs, and features of the instructional designs consistently and specifically documented in the STEM education literature. Therefore, this current study conducted systematic analysis of the literature to understand the educational goals and instructional designs for STEM education. Based on the analysis, we present a thorough picture of how researchers have developed instructional designs for STEM education.
Despite the fact that many researchers have promoted STEM education, the definition of STEM education has not reached a consensus in the literature, and there is a certain degree of disagreement in the scientific community. Lamb et al. ( 2015 ) defined STEM as a broad area encompassing many disciplines and epistemological practices. Other researchers, such as Breiner et al. ( 2012 ), defined STEM as applying transdisciplinary knowledge and skills in solving real-world problems. A similar definition established by Shaughnessy ( 2013 ) regarding STEM education is problem solving based on science and mathematics concepts that incorporate engineering strategies and technology. Another study defined STEM education as teaching approaches based on technology and engineering design that integrate the concepts and practices of science and mathematics (Sanders & Wells, 2006 ). In this study, we clarify STEM education as an approach that utilizes integrations of knowledge and skills from science, technology, engineering, and/or mathematics to solve real-world problems that help students to succeed in school learning, future careers, and/or society.
The definition of STEM as an integrated approach involving science, technology, engineering, and mathematics raises several pertinent questions about its composition and expectations. First, the requirement for all four disciplines to be present in order to qualify an educational program or project as “STEM” is debatable. Conceptually, integrating any two or more fields helps foster the interdisciplinary learning that is the hallmark of STEM education. This flexibility allows educators to tailor their programs to match the available resources and specific learning outcomes without necessarily incorporating all four disciplines in every instance. Regarding the classification of “science” within STEM, it is more a conglomerate of disciplines—such as biology, chemistry, physics, and earth sciences—than a single field. This diversity within science enriches STEM education, providing a broader knowledge base and problem-solving skills. Each scientific discipline brings a unique perspective and set of tools to the interdisciplinary mix, enhancing the complexity and richness of STEM learning experiences.
Furthermore, previous studies have identified several challenges to the implementation of STEM education in the classroom including poor motivation of students, weak connection with individual learners, little support from the school system, poor content without integration across disciplines, lack of quality assessments, poor facilities, and lack of hands-on experience (Ejiwale, 2013 ; Hsu & Fang, 2019 ; Margot & Kettler, 2019 ). To help teachers face challenges in the advancement of STEM education, Hsu and Fang ( 2019 ) proposed a 5-step STEM curriculum designs framework and provided examples of how to apply it to a lesson plan to help teachers design their instruction. This previous study also suggested that researchers conduct more investigations related to instructional design to enrich our understanding of various aspects of STEM education. Teachers of STEM require more opportunities to construct their perspective and a vision of STEM education as well as to conduct appropriate instructional designs. Moreover, from review articles published from 2000 to 2016, Margot and Kettler ( 2019 ) found that in multiple studies concerning similar challenges and supports, teachers believed that the availability of a quality curriculum would enhance the success of STEM education. Teachers need to provide and use an appropriate instructional design for STEM education and understand the educational goals. Therefore, we see the need to conduct research related to STEM education, especially exploring the instructional design because identifying and using a quality instructional design could increase the effectivess of STEM education.
According to the previous literature review, educational goals for instructional design were highlighted in STEM education. First, engagement and career choice need to be emphasized in STEM learning to improve students’ interest and self-efficacy (Vongkulluksn et al., 2018 ). Students need to engage in STEM education to raise their interest and engagement in STEM and to increase and develop a STEM-capable workforce (Honey et al., 2014 ; Hsu & Fang, 2019 ; Schütte & Köller, 2015 ). Engaging students in STEM education could improve their attitudes (Vossen et al., 2018 ) and their interest in STEM fields, and encourage them to pursue STEM careers (Means et al., 2017 ).
Second, STEM literacy needs to be promoted in K-12 schools (Falloon et al., 2020 ; Jackson et al., 2021 ) to develop students’ ability to encounter global challenges (Bybee, 2010 ). Students need to have the ability to apply concepts from science, technology, engineering, and mathematics, and skills to solve problems related to social, personal, and global issues in society (Bybee, 2010 ; Jackson et al., 2021 ). Besides, improving students’ STEM literacy is needed for their decision-making, participation in civic and cultural affairs, and economic productivity (National Academy of Engineering & National Research Council, 2014 ; National Research Council, 2011 ).
Last, regarding the twenty-first century competencies, students are anticipated to have abilities of creativity and innovation, problem solving, critical thinking, collaboration and communication (Boon, 2019 ) as citizens, workers, and leaders in the twenty-first century (Bryan et al., 2015 ; National Academy of Engineering & National Research Council, 2014 ; Stehle & Peters-Burton, 2019 ). These abilities are critical for students to adapt and thrive in a changing world (National Research Council, 2013 ). Also, students need to have the abilities to adapt to the twenty-first century in order to succeed in the new workforce (Bybee, 2013 ).
Considering the achievement of students’ engagement, motivation, STEM literacy, as well as twenty-first century competencies, many countries have significantly enlarged the funding for research and education relevant to STEM (Sanders, 2009 ). One of the strands of the existing research is to help teachers know how to implement STEM education in schools (Aranda, 2020 ; Barak & Assal, 2018 ; English, 2017 ). Researchers have proposed instructional designs for STEM education including design-based learning (Kelley & Knowles, 2016 ; Yata et al., 2020 ), inquiry-based learning (Bybee, 2010 ), project-based learning (Capraro et al., 2013 ), and problem-based learning (Carpraro & Slough, 2013 ).
Design-based learning focuses on technological and engineering design. This instructional design engages students in learning about engineering design practices (Fan et al., 2021 ; Guzey et al., 2016 ; Hernandez et al., 2014 ) through the steps of designing, building, and testing (Yata et al., 2020 ). Design-based learning promotes problem solving, design, building, testing, and communication skills (Johnson et al., 2015 ) and improves students’ interest in STEM activities (Vongkulluksn et al., 2018 ). Also, design-based learning improves students’ engineering abilities and twenty-first century competencies (Wu et al., 2019 ) and attitudes (Vossen et al., 2018 ), and engages them in understanding core disciplinary ideas (Guzey et al., 2016 ).
Inquiry-based learning focuses on engaging students in hands-on activities to investigate scientific phenomena (Lederman & Lederman, 2012 ) and to construct their new knowledge (Bybee, 2010 ; Halawa et al., 2020 ). Students are encouraged to plan and design their experiments, analyze and interpret data, argue, and communicate their findings (Halawa et al., 2023 ; National Research Council, 2012 , 2013 ). Inquiry-based learning is also deemed to improve students’ knowledge, interest, engagement (Sinatra et al., 2017 ) and creativity (Smyrnaiou et al., 2020 ). Besides, researchers have noticed the importance of inquiry-based learning for improving students’ attitudes toward science-related careers (Kim, 2016 ). Although inquiry-based learning mainly focuses on science education to engage students in authentic learning (Halawa et al., 2024 ), it has been known to share common goals and characteristics with mathematics, technology, and engineering (Grangeat et al., 2021 ; Lin et al., 2020 ). Common elements in STEM education are engaging students in asking questions and testing their ideas in a systematic and interactive way (Grangeat et al., 2021 ).
Project-based learning and problem-based learning, both instructional designs, engage students in experiential and authentic learning with open-ended and real-world problems (English, 2017 ). Yet, project-based learning tends to be of longer duration and occurs over an extended period of time (Wilson, 2021 ), while problem-based learning is usually embedded in multiple problems (Carpraro & Slough, 2013 ). STEM project-based learning focuses on engaging students in an ill-defined task within a well-defined outcome situated with a contextually rich task, requiring them to solve certain problems (Capraro et al., 2013 ). Project-based learning and problem-based learning are both used to develop students’ problem solving, creativity, collaboration skills (Barak & Assal, 2018 ), and attitude (Preininger, 2017 ).
According to previous studies, researchers have adopted STEM instructional designs to achieve certain educational goals. For instance, in the aspects of engagement and career choice, Sullivan and Bers ( 2019 ) used design-based learning to improve students’ interest in engineering and students’ performance in elementary school. Kang et al. ( 2021 ) adopted inquiry-based learning for secondary school by embedding careers education to foster the students’ interest in science. Vallera and Bodzin ( 2020 ) adopted project-based learning at primary school in the northeastern United States to improve students’ STEM literacy and attitude. Preininger ( 2017 ) used problem-based learning to influence students’ attitudes toward mathematics and careers involving mathematics. In the aspect of STEM literacy, King and English ( 2016 ) adopted design-based learning to enable students to apply STEM concepts to the model of the construction of an optical instrument. Han et al. ( 2015 ) adopted STEM project-based learning to improve the performance of low-performing students in mathematics. Lastly, regarding the twenty-first century competencies, English et al. ( 2017 ) adopted design-based learning to improve students’ capabilities of handling the complexity of the task (English et al., 2017 ).
In conclusion, studies have grown to explore educational goals related to instructional designs for STEM education. However, consistent and systematic reviews related to instructional designs in K-12 STEM education are comparatively scarce. Although there are some reviews of the STEM education literature (Andrews et al., 2022 ; Gladstone & Cimpian, 2021 ; Kaya-Fadlelmula et al., 2022 ; López et al., 2022 ; Margot & Kettler, 2019 ; Martín-Páez et al., 2019 ; Nguyen et al., 2021 ), it is noteworthy that previous studies only explored undergraduate instruction in STEM education (Andrews et al., 2022 ; Henderson et al., 2011 ; Nguyen et al., 2021 ). Therefore, to fill the research gap, this current study conducted a systematic analysis of literature to understand the educational goals and instructional designs for K-12 STEM education from articles published between 2012 and 2021. The research questions of this study were formulated as follows:
What STEM education goals were more focused on in the reviewed articles? What was the trend of educational goals in the reviewed articles?
What instructional designs were more focused on in the reviewed articles? What was the trend of the instructional design in the review articles?
What instructional designs were more focused on to achieve certain educational goals in the reviewed articles?
What features of instructional designs were more focused on in the reviewed articles?
To identify the target literature for further analysis, this study conducted several rounds of searching the Web of Science (WOS) database for articles (Gough et al., 2012 ; Møller & Myles, 2016 ). A systematic literature review using the PRISMA guidelines was used for article selection (Møller & Myles, 2016 ). First, we searched for articles using the keyword “STEM Education” along with “learning”, “teaching”, “curriculum”, and “professional development”, to refine the search results. The search identified a total of 1,531 articles published in the Web of Science from 2012 to 2021 (Fig. 1 ). We initially excluded duplicated articles; the search retrieved a total of 1,513 articles. We then screened the titles, abstract, and keywords of the articles based on the following criteria: (a) empirical research; (b) incorporating instructional design and strategies into STEM teaching; (c) including intervention; (d) focusing on K-12 education and on assessment of learning outcomes; and (e) excluding higher education and STEAM education. During this screening, we discussed which articles met the criteria through round-table discussions, and determined the preliminary target candidates composed of 394 articles. A full-text examination was then conducted. In this round of examination, we removed the articles without clear information about the educational goals and instructional designs related to STEM education. Finally, a corpus of literature comprising 229 articles was formed for further analysis.
PRISMA flow diagram of articles selection
According to the research questions, for this study, we developed a coding framework to conduct content analysis and to categorize the target literature. We first selected paradigmatic references of STEM education and instructional design from high quality publications. These articles provided sets of core concepts and terms to shape the provisional coding categories. We then constantly reviewed the paradigmatic references and discussed them to improve the coding scheme. The final analytic framework with coding categories was developed as follows. The first category, STEM educational goals, includes engagement and career choice (Honey et al., 2014 ; Hsu & Fang, 2019 ), STEM literacy (Falloon et al., 2020 ; Jackson et al., 2021 ), and twenty-first century competencies (Boon, 2019 ) (see Appendix 1). The second category, instructional design, includes design-based learning (Yata et al., 2020 ), inquiry-based learning (Bybee, 2010 ; Halawa et al., 2020 ), project-based learning (Capraro & Slough, 2013 ), and problem-based learning (Priemer et al., 2020 ). From the review articles, we found that 6E - oriented STEM (engage, explore, explain, engineer, enrich, and evaluate) and game-based learning were used for STEM education. These two instructional designs were added to our coding scheme. Articles that did not specify the instructional design were coded as “others”. We then analyzed the outcomes to see whether instructional design successfully improved STEM educational goals. We analyzed design-based, inquiry-based, and project-based learning to achieve engagement and career choice, STEM literacy, and a combination of engagement and career choice and STEM literacy because the selected articles mainly concentrated on them. We categorized the outcomes as positively improved, partially improved, and none (Amador et al., 2021 ). Instructional design that successfully increased STEM educational goals was categorized as positively improved. Instructional design that only increased a part of STEM educational goals was categorized as partially improved. If the instructional design did not increase STEM educational goals, we categorized it as none.
We then extended our coding scheme to identify the features of design-based, inquiry-based, and project-based learning. We focused on these three instructional designs because the selected articles mainly adopted them. Yata et al. ( 2020 ) proposed designing, building, and testing as the features of design-based learning. Other features of instructional designs including questioning or identifying problems, experimenting, analyzing, explaining, collaborating, communicating, and reflecting were proposed as features of inquiry-based learning (Bybee, 2010 ; Halawa et al., 2020 ) and project-based learning (Capraro et al., 2013 ). From the review articles, we found that redesigning was one of the features of instructional design and so added it to the coding scheme. These features of instructional designs were adopted for our coding scheme including questioning or identifying problems, designing, building, testing, experimenting, analyzing, collaborating, reflecting, communicating, and redesigning (Appendix 2). We then calculated the number of articles that adopted these features of instructional designs. We further summarized the features of instructional designs that were frequently used in the selected articles.
In order to make sure the coding process was reliable, we conducted a trial coding by randomly selecting 40 articles and individually categorizing the articles into the aforementioned categories: (a) STEM education goal, and (b) instructional design. Interrater reliability was calculated using a percent agreement metric reaching an acceptable level of 0.85 (McHugh, 2012 ). The discrepancies between authors were negotiated and solved through discussions. The NVivo 11 software was utilized to complete coding works on the remaining articles. We then calculated and reported descriptive statistics of the coded data as the analytic results.
Table 1 shows that more articles focused on engagement and career choice (64 articles) and STEM literacy (61 articles) than twenty-first century competencies (16 articles). The articles also mainly focused on a combination of engagement and career choice and STEM literacy (47 articles) and a combination of engagement and career choice and twenty-first century competencies (18 articles). Nine articles were found that focused on the three learning goals of engagement and career choice, STEM literacy, and twenty-first century competencies.
Table 1 shows the numbers of articles regarding educational goals for STEM education for each 2 years in the review papers. The number of articles per 2 years increased from 2012 to 2021. The trend analysis indicated that engagement and career choice and STEM literacy increased greatly from 2014 to 2021. The numbers of articles focused on the combination of two educational goals (STEM literacy and twenty-first competencies) and three learning goals (engagement and career choice, STEM literacy, and twenty-first competencies) from 2016 to 2021 are also presented.
Table 2 reveals the numbers of articles that used instructional design for STEM education. The instructional designs of design-based, inquiry-based, project-based, and problem-based learning were mainly used and continued to be used over the study period. The trend analysis indicated a big jump in design-based, inquiry-based, and project-based learning from 2018 to 2021.
Table 2 also shows the instructional designs and educational goals for STEM from review papers. Most articles adopted design-based (80 articles), inquiry-based (46 articles), project-based (42 articles), and problem-based (27 articles) learning.
The findings shown in Table 3 identified that STEM instructional designs were used differently to achieve engagement and career choice, STEM literacy, and the combination of engagement and career choice and STEM literacy. We found that design-based learning was mainly adopted to achieve STEM literacy (28 articles), while inquiry-based learning was mainly used to achieve engagement and career choice (14 articles) and the combination of engagement and career choice and STEM literacy (14 articles). Also, more articles (15 articles) adopted project-based learning to achieve engagement and career choice. Furthermore, more design-based learning (7 articles) and problem-based learning (4 articles) than inquiry-based learning (2 articles) and project-based learning (1) articles were adopted to achieve twenty-first century competencies.
As we identified that a major portion of the articles adopted design-based learning, inquiry-based learning, and project-based learning focused on engagement and career choice, STEM literacy, and a combination of engagement and career choice and STEM literacy (see Table 3 ), we focused further analysis on the outcomes of STEM educational goals in the articles. The total number of selected articles was 124, of which 54 adopted design-based learning, 37 adopted inquiry-based learning, and 33 adopted project-based learning (Table 4 ).
We categorized the outcomes of STEM education goals into three categories (positively improved, partially improved, and none) (Amador et al., 2021 ). Table 4 shows that the majority of selected articles adopted design-based, inquiry-based, and project-based learning, improving STEM educational goals positively. Most selected articles found that design-based learning positively improved engagement and career choice (10 articles), STEM literacy (26 articles), and a combination of engagement and career choice and STEM literacy (15 articles). Also, most of the selected articles indicated that inquiry learning has a positive impact on engagement and career choice (14 articles), STEM literacy (7 articles), and a combination of engagement and career choice and STEM literacy (13 articles). Project-based learning has demonstrated a beneficial impact on various outcomes, as reported across the selected literature. Specifically, 12 articles documented the enhancement of engagement and career decisions, nine indicated the advancement of STEM literacy, and six discussed a combined effect on engagement, career choice, and STEM literacy.
To identify the frequently used features of STEM instructional design, we further explored the activities in the selected articles. As previous results show that the major part of articles adopted design-based learning, inquiry-based learning, and project-based learning, we further analyzed the frequently used features of these STEM instructional designs that focused on engagement and career choice, STEM literacy, and combination of engagement and career choice and STEM literacy (see Table 3 ). We selected 54 articles that adopted design-based learning, 37 adopted inquiry-based learning, and 33 adopted project-based learning (Table 5 ).
Based on the findings, a large portion of the selected articles adopted design-based learning for STEM education (54 articles). Table 5 shows the features that were adopted to implement instructional design for design-based learning. More than half of the selected articles adopted designing, building, testing, collaborating, experimenting, and reflecting. Building (88.9%), designing (87.0%), and testing (70.4%) were used to engage students in engineering (Yata et al., 2020 ). Besides, engaging students in these activities required students to use their knowledge and skills (Kelley & Knowles, 2016 ). For example, Aranda et al. ( 2020 ) and Lie et al. ( 2019 ) implemented design-based learning by asking students to design a process to both prevent and test for cross-pollination of non-GMO from GMO fields. In these selected articles, the curriculums were focused on helping students with designing, building, and testing.
Collaborating, which engages students in working with their classmates in the process of design-based learning, was also mainly emphasized in the selected articles (64.8%). For instance, English and King ( 2019 ) asked students to work with their groups to discuss the possible design of the bridge. Researchers also emphasized experimenting (53.7%) to engage students in design-based learning. English ( 2019 ) engaged students in investigating their feet and shoes. Students collected, represented, analyzed data, and drew conclusions from their findings. Lie et al. ( 2019 ) helped students conduct an investigation to prevent cross-contamination of non-GMO from GMO corn fields. The last critical feature of design-based learning is reflecting (51.9%). In this activity, students engaged in assessing their solutions against a set of criteria and constraints, generating, and evaluating solutions (Cunningham et al., 2019 ). By engaging students in reflecting, students have an opportunity to improve their design and choose their best strategy (Aranda et al., 2020 ; Lie et al., 2019 ).
As shown in Table 5 , the inquiry-based learning approach was frequently adopted by researchers for STEM education. The features of this approach applied to achieve specific STEM education goals (e.g., engagement and career choice, and STEM literacy) included experimenting (91.9%), collaborating (83.8%), reflecting (62.2%), and communicating (51.4%) (see Table 5 ). This finding indicated that the top three frequently used features of inquiry-based learning in STEM were experimenting, collaborating, and reflecting, which play an essential role when learners try out their ideas about a real-world problem related to STEM. For example, a four-phase inquiry (clarifying the situation, hands-on experiments, representing, analyzing the produced data, and reporting/whole-class discussions) for authentic modeling tasks guided students to develop their credibility of the tasks and to acquire STEM knowledge (Carreira & Baioa, 2018 ).
As previously mentioned, project-based learning is one of the major approaches to support instructional design in the reviewed STEM education studies. The results shown in Table 5 further indicate the features that researchers tended to integrate into instructional design for project-based learning. More than half (51.5%) of the selected articles reported “reflecting” as a pivotal part of teaching that triggered students’ project-based learning. Reflecting is deemed to depict learners’ active perceptions and deliberation of what they encounter and what they are doing. This may contribute to their competence to retrieve appropriate information, to provide feedback, and to revise the project underlying their learning. For example, in Dasgupta et al.’s ( 2019 ) study, a design journal was utilized to help students’ reflection on what they knew, what is necessary to know, as well as their learning outcomes. Vallera and Bodzin ( 2020 ) also addressed the critical design features of their curriculum to help students achieve information obtaining, evaluating, and communicating in the learning project based on real-world contexts.
Besides, researchers focused on project-based learning regarding STEM have a tendency to foster students’ learning via “identifying problems” (48.5%). These studies can be differentiated into two types based on whether the researchers provided a driving question for the learning project. In Vallera and Bodzin’s ( 2020 ) study, the instructional design arranged a clear-cut driving question to guide students’ thinking about helping farmers to prepare products for sale in a farmers’ market. This led students to extend their thinking and identify further problems while solving the driving question. As for Barak and Assal’s ( 2018 ) study, their instructional design provided open-ended tasks and ill-defined problems. Such arrangements were deemed to afford students’ learning through problem defining and learning objective setting.
It is also noteworthy to mention that the percentages of “experimenting” and “collaborating” in studies involved with project-based learning design were lower than those of studies with design-based learning or inquiry-based learning. However, researchers who were interested in STEM project-based learning would still to some extent agree with instructional design that may provide opportunities to students to access authentic scientific activities and social communications.
This study focused on analyzing the STEM educational goals and instructional designs adopted in the 2012–2021 articles. The findings of this study present knowledge and understanding of the educational goals that need to be considered in STEM education, and how these goals could be achieved by adopting various STEM instructional designs.
The majority of reviewed articles adopted instructional designs to achieve the goals of engagement, career choice and STEM literacy. In contrast, few articles focused on twenty-first century competencies. It is not surprising because many recent studies in nature emphasized economic viewpoints and workplace-readiness outcomes in the STEM education field (Cheng et al., 2021 ; Kelley & Knowles, 2016 ). The aspects of engagement and career choice were frequently considered in many previous studies on STEM education (Struyf et al., 2019 ; Vongkulluksn et al., 2018 ; Vossen et al., 2018 ). It indicated that engagement and career choice are important goals for STEM education (Honey et al., 2014 ; Hsu & Fang, 2019 ; Kelley & Knowles, 2016 ). Engaging and motivating students in STEM education are necessary to enhance their understanding of their future careers (Fleer, 2021 ) and to cultivate them to continue STEM learning (Maltese et al., 2014 ). Students who were motivated and interested in STEM education would pursue STEM careers (Maltese & Tai, 2011 ). Furthermore, the aspects of STEM literacy are also addressed in the reviewed articles. The aspects of STEM literacy (e.g., knowledge and capabilities) are deemed important for students’ productive engagement with STEM studies, issues, and practices (Falloon et al., 2020 ). The focus of STEM literacy encourages students to apply their knowledge to life situations and solve problems (Bybee, 2010 ). The importance of STEM literacy has been highlighted in several national documents (e.g., Committee on STEM Education of the National Science & Technology Council, 2018 ; National Research Council, 2011 ; U.S. Department of Education, 2016 ). These findings provide insights into what teaching goals have been focused on in STEM education. For instance, engagement and career choice have been mainly focused on in STEM education because the STEM teaching was designed to connect to the students’ real-world experiences or future professional situations (Strobel et al., 2013 ). The authentic and meaningful experience could engage and motivate students in the activity, and later they should pursue their future careers related to what they have learned.
However, there are few selected articles focused on twenty-first century competencies, although many previous studies considered the twenty-first century competencies as important goals for students. Some studies have advocated that students should be engaged in interdisciplinary sets of complex problems and encourage them to use critical thinking and develop their creativity and innovation as well as collaboration (Finegold & Notabartolo, 2010 ; Jang, 2016 ). Engaging students in STEM education focused on twenty-first century competencies could prepare them for the workplace and help them become successful in STEM-related fields (Jang, 2016 ). Future researchers should consider integrating twenty-first century competencies into STEM education to complement the existing focus on engagement, career choice, and STEM literacy, preparing students for a broader range of skills necessary for the modern workforce.
Although the reviewed articles adopted various instructional designs for STEM education, the articles mostly adopted design-based rather than inquiry-based, project-based, or problem-based learning. The findings are in accordance with the existing literature on STEM education. Notably, these results corroborate the conclusions drawn from a comprehensive systematic review conducted by Mclure et al. ( 2022 ). Design-based learning was adopted to achieve the goals of STEM literacy, engagement and career choice, and this instructional design tended to be used more often according to the trend analysis. This indicated that design-based learning was considered as a main instructional design for STEM education. This instructional design has become an essential approach to engaging K-12 students in STEM education (Bybee, 2013 ; National Academy of Engineering & National Research Council, 2014 ; National Research Council, 2013 ). Some researchers claimed that students who participate in design-based learning could make meaningful connections between knowledge and skills by solving problems (English & King, 2019 ; Kelley et al., 2010 ). Design-based learning engages students in authentic problems and challenges that increase their level of engagement (Sadler et al., 2000 ), help students learn fundamental scientific principles (Mehalik et al., 2008 ), and build students’ natural and intuitive experience (Fortus et al., 2004 ). In the process of design, students learn the concepts of science, technology, and mathematics in the process of designing, building, or testing products (Yata et al., 2020 ). For instance, students have to learn the concept of energy to design a house that produces more renewable energy than it consumes over a period of 1 year (Zheng et al., 2020 ). It was also found that the majority of selected articles which adopted design-based learning successfully improved learners’ engagement, career choice, and STEM literacy (Table 4 ). The results align with the findings of a previous meta-analysis focusing on STEM education at the middle school level (Thomas & Larwin, 2023 ). K-12 students’ STEM learning successfully improved because the selected articles reported studies conducting design-based learning in K-12 education. For example, Cunningham et al. ( 2019 ) successfully implemented design-based learning to improve elementary students’ learning outcomes, while Fan et al. ( 2018 ) found that design-based learning positively improved secondary students’ conceptual knowledge and attitude.
However, the selected articles have not equally used the features of design-based learning such as collaborating, reflecting, and redesigning. We identified that the selected articles mainly used designing, building, and testing to engage students in engineering activities. One of the explanations for this finding is that researchers may face challenges in implementing a full cycle of design-based learning because of the time limit of instruction, so they only focus on the process of designing, building, and testing. Collaborating, reflecting, and redesigning should be emphasized while adopting effective design-based learning because students could solve complex problems by collaborating with others. With collaboration, the students can learn/solve problems through discussion within the group. This activity allows students to share new ideas and debate with others to generate solutions. Reflecting on the data and experience allows students to make improvements to their model and leads them to redesign it to produce a better model. This process could also grow students’ science knowledge (Fortus et al., 2004 ). This finding hence suggests future studies, and educators emphasize more collaborating, reflecting, and redesigning for design-based learning for STEM instruction.
Moreover, inquiry-based learning, project-based learning, and problem-based learning were adopted in some selected articles. Inquiry-based learning was considered to enable and to promote connections within and across curriculum disciplines and improve students’ engagement in STEM education (Attard et al., 2021 ). Project-based and problem-based learning can be used to engage students in authentic problems (Blumenfeld et al., 1991 ) and to improve their engagement in STEM education (Beckett et al., 2016 ). Furthermore, we identified that inquiry-based learning mainly engages students in experimenting, collaborating, and reflecting (Kim, 2016 ), and project-based learning (Han et al., 2015 ) mainly engages students in identifying problems and reflecting. This finding reveals the frequently used features of inquiry-based learning and project-based learning. Teachers could use these components of instructional design for preparing their instruction for teaching STEM. Given these findings, it is advisable to explore the integration of inquiry-based, project-based, and problem-based learning alongside design-based learning in STEM education. Such an approach may enhance the effectiveness of STEM education by providing a more comprehensive strategy to improve STEM literacy, engagement, and career choice among K-12 students.
However, we identified that some essentials of these instructional designs have not been included in selected articles. For instance, studies adopting inquiry-based learning rarely asked students to propose their questions, although questioning is one of the frequently used features of inquiry (National Research Council, 2012 , 2013 ). One of the possible explanations for this finding is that students may have a lack of experience with inquiry learning and not know how to formulate meaningful questions, and they may tend to propose low-level factual questions related to their personal interests (Krajcik et al., 1998 ). Besides, STEM education requires students to engage in complex real-world problems, which requires sufficient ability to propose meaningful questions. Yet, we expect that future studies and teachers should encourage students to propose their own questions because questioning improves students’ creativity, critical thinking, and problem solving skills (Hofstein et al., 2005 ). Teachers could start asking students to propose their own questions once they have experience and ability to propose good questions. Krajcik et al. ( 1998 ) suggested providing situations in which students can receive informative and critical feedback from teachers, classmates, and others so as to propose their own significant questions.
From an instructional design perspective, this study provides crucial insights into practical STEM education approaches. The findings underscore the importance of aligning instructional designs with specific STEM educational goals. The trend analysis revealed a significant increase in focus on engagement, career choice, and STEM literacy from 2014 to 2021, with a particularly sharp rise observed between 2018 and 2021. Each instructional design approach demonstrated unique strengths: design-based learning fosters STEM literacy. In contrast, inquiry-based and project-based learning effectively enhanced engagement and career choice. The study delineates specific features of these instructional designs that contribute to their success, such as building and testing in design-based learning, experimenting and collaborating in inquiry-based learning, and reflecting and problem identification in project-based learning.
Furthermore, this study advocates for a deliberate and systematic application of inquiry-based and project-based learning alongside design-based learning. Such integration is likely to cultivate a more dynamic and interactive learning environment that encourages critical thinking, problem-solving, and collaborative skills among students. The integration of twenty-first century competencies in the instructional design of STEM, though less presented, suggests a potential research space for further exploration of STEM teaching. This study recommends an expanded focus on incorporating these competencies to ensure a holistic educational approach that addresses immediate educational goals and equips students with essential skills for future challenges.
Teachers’ limited understanding of STEM instructional design also presents a significant challenge, necessitating targeted professional development initiatives. Educators must comprehend and implement a comprehensive approach that aligns educational goals with appropriate instructional designs to optimize STEM learning outcomes. This approach involves clearly defining learning objectives, such as STEM literacy, selecting suitable instructional designs, and effectively guiding students through the chosen learning process.
The findings in this study furnish instructional designers and educators with a clear framework for developing targeted STEM curricula. The research accentuates the importance of aligning instructional design features with specific educational goals, suggesting that a nuanced, goal-oriented approach to STEM instruction can significantly enhance student outcomes in literacy, engagement, and career readiness. These insights offer a robust foundation for refining and optimizing instructional design strategies in STEM education.
No applicable.
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The authors express their sincere gratitude to the editors and reviewers for their invaluable inputs and suggestions, which have significantly enhanced the quality of this work.
This work was financially supported by the Institute for Research Excellence in Learning Sciences of National Taiwan Normal University (NTNU) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.
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Research Center for Education, National Research and Innovation Agency, Jakarta, Indonesia
Suarman Halawa
Center for Teacher Education, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Tzu-Chiang Lin
Center for the Liberal Arts, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Graduate Institute of Science Education, National Taiwan Normal University, Taipei, Taiwan
Ying-Shao Hsu
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SH contributed to the conception of the study, research question, methods, analysis, and interpretation of the data. TC contributed to the data collection, analysis and interpretation of data, and editing of the manuscript. YS contributed to the conception of the study, data analysis and interpretation, and editing of the manuscript. All authors equally contributed to writing, reading, and approving the manuscript.
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Description of STEM education goals
STEM education goals | Brief description | Representational articles |
---|---|---|
Engagement and career choice | The goals of instruction focus on students’ emotional responses to learning STEM subjects and pursuing a professional degree in one of the STEM fields | Fan et al. ( ) |
STEM literacy | The goals of instruction focus on students’ ability to apply concepts from science, technology, engineering, and mathematics to solve problems that cannot be solved with a single subject | Vallera and Bodzin ( ) |
21st-century competencies | The goals of instruction focus on students’ abilities of critical thinking, creativity, innovation, leadership, and adaptability which can be used to adapt in the twenty-first century | Chen and Lin ( ) |
Description of the elements of instructional design for STEM education
Features | Brief description | Representational articles |
---|---|---|
Questioning or identifying problems | Students propose questions or identify problems in the STEM activity | Vallera and Bodzin ( ) |
Designing | Students design their model | Aranda et al. ( ) |
Building | Students build a prototype based on their model | English ( ) |
Testing | Students test their design and prototype | Zheng et al., |
Redesigning | Students redesign their model after they test it | Lie et al. ( ) |
Experimenting | Students engage in hands-on activities in the STEM education | Kim, |
Analyzing | Students use mathematics to analyze the data from the STEM activity | Berland et al. ( ) |
Collaborating | Students interact or collaborate with other students to solve problems in the STEM activity | English and King ( ) |
Reflecting | Students evaluate/assess their experience in the STEM activity | Dasgupta et al. ( ) |
Communicating | Students present/share their work to/with the whole class | Chen and Lin ( ) |
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Halawa, S., Lin, TC. & Hsu, YS. Exploring instructional design in K-12 STEM education: a systematic literature review. IJ STEM Ed 11 , 43 (2024). https://doi.org/10.1186/s40594-024-00503-5
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Despite the increasing recognition of the importance of research in undergraduate dental education, limited studies have explored the nature of undergraduate research activities in dental schools in the Middle East region. This study aimed to evaluate the research experience of final year dental students from three dental schools in the Middle East.
A descriptive, cross-sectional study was conducted among final-year dental students from three institutions, namely Jordan University of Science and Technology, University of Sharjah (UAE), and Oman Dental College. Participants were asked about the nature and scope of their research projects, the processes involved in the research, and their perceived benefits of engaging in research.
A total of 369 respondents completed the questionnaire. Cross-sectional studies represented the most common research type (50.4%), with public health (29.3%) and dental education (27.9%) being the predominant domains. More than half of research proposals were developed via discussions with instructors (55.0%), and literature reviews primarily utilized PubMed (70.2%) and Google Scholar (68.5%). Regarding statistical analysis, it was usually carried out with instructor’s assistance (45.2%) or using specialized software (45.5%). The students typically concluded their projects with a manuscript (58.4%), finding the discussion section most challenging to write (42.0%). The research activity was considered highly beneficial, especially in terms of teamwork and communication skills, as well as data interpretation skills, with 74.1% of students reporting a positive impact on their research perspectives.
The research experience was generally positive among surveyed dental students. However, there is a need for more diversity in research domains, especially in qualitative studies, greater focus on guiding students in research activities s, especially in manuscript writing and publication. The outcomes of this study could provide valuable insights for dental schools seeking to improve their undergraduate research activities.
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The importance of research training for undergraduate dental students cannot be overstressed and many reports have thoroughly discussed the necessity of incorporating research components in the dental curricula [ 1 , 2 , 3 , 4 ]. A structured research training is crucial to ensure that dental graduates will adhere to evidence-based practices and policies in their future career and are able to critically appraise the overwhelming amount of dental and relevant medical literature so that only rigorous scientific outcomes are adopted. Furthermore, a sound research background is imperative for dental graduates to overcome some of the reported barriers to scientific evidence uptake. This includes the lack of familiarity or uncertain applicability and the lack of agreement with available evidence [ 5 ]. There is even evidence that engagement in research activities can improve the academic achievements of students [ 6 ]. Importantly, many accreditation bodies around the globe require a distinct research component with clear learning outcomes to be present in the curriculum of the dental schools [ 1 ].
Research projects and courses have become fundamental elements of modern biomedical education worldwide. The integration of research training in biomedical academic programs has evolved over the years, reflecting the growing recognition of research as a cornerstone of evidence-based practice [ 7 ]. Notwithstanding the numerous opportunities presented by the inclusion of research training in biomedical programs, it poses significant challenges such as limited resources, varying levels of student preparedness, and the need for faculty development in research mentorship [ 8 , 9 ]. Addressing these challenges is essential to maximize the benefits of research training and to ensure that all students can engage meaningfully in research activities.
While there are different models for incorporating research training into biomedical programs, including dentistry, almost all models share the common goals of equipping students with basic research skills and techniques, critical thinking training and undertaking research projects either as an elective or a summer training course, or more commonly as a compulsory course required for graduation [ 2 , 4 , 10 ].
Dental colleges in the Middle East region are not an exception and most of these colleges are continuously striving to update their curricula to improve the undergraduate research component and cultivate a research-oriented academic teaching environment. Despite these efforts, there remains a significant gap in our understanding of the nature and scope of student-led research in these institutions, the challenges they face, and the perceived benefits of their research experiences. Furthermore, a common approach in most studies in this domain is to confine data collection to a single center from a single country, which in turn limits the value of the outcomes. Therefore, it is of utmost importance to conduct studies with representative samples and preferably multiple institutions in order to address the existing knowledge gaps, to provide valuable insights that can inform future curricular improvements and to support the development of more effective research training programs in dental education across the region. Accordingly, this study was designed and conducted to elucidate some of these knowledge gaps.
The faculty of dentistry at Jordan University of Science and Technology (JUST) is the biggest in Jordan and adopts a five-year bachelor’s program in dental surgery (BDS). The faculty is home to more than 1600 undergraduate and 75 postgraduate students. The college of dental medicine at the University of Sharjah (UoS) is also the biggest in the UAE, with both undergraduate and postgraduate programs, local and international accreditation and follows a (1 + 5) program structure, whereby students need to finish a foundation year and then qualify for the five-year BDS program. Furthermore, the UoS dental college applies an integrated stream-based curriculum. Finally, Oman Dental College (ODC) is the sole dental school in Oman and represents an independent college that does not belong to a university body.
The aim of this study was to evaluate the research experience of final year dental students from three major dental schools in the Middle East, namely JUST from Jordan, UoS from the UAE, and ODC from Oman. Furthermore, the hypothesis of this study was that research activities conducted at dental schools has no perceived benefit for final year dental students.
The rationale for selecting these three dental schools stems from the diversity in the dental curriculum and program structure as well as the fact that final year BDS students are required to conduct a research project as a prerequisite for graduation in the three schools. Furthermore, the authors from these dental schools have a strong scholarly record and have been collaborating in a variety of academic and research activities.
The current study is a population-based descriptive cross-sectional observational study. The study was conducted using an online self-administered questionnaire and targeted final-year dental students at three dental schools in the Middle East region: JUST from Jordan, UoS from the UAE, and ODC from Oman. The study took place in the period from January to June 2023.
For inclusion in the study, participants should have been final-year dental students at the three participating schools, have finished their research project and agreed to participate. Exclusion criteria included any students not in their final year, those who have not conducted or finished their research projects and those who refused to participate.
The study was approved by the institutional review board of JUST (Reference: 724–2022), the research ethics committee of the UoS (Reference: REC-22-02-22-3) as well as ODC (Reference: ODC-MA-2022-166). The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [ 11 ]. The checklist is available as a supplementary file.
Sample size determination was based on previous studies with a similar design and was further confirmed with a statistical formula. A close look at the relevant literature reveals that such studies were either targeting a single dental or medical school or multiple schools and the sample size generally ranged from 158 to 360 [ 4 , 8 , 9 , 10 , 12 ]. Furthermore, to confirm the sample size, the following 2-step formula for finite population sample size calculation was used [ 13 ]:
Wherein Z is the confidence level at 95% =1.96, P is the population proportion = 0.5, and E is the margin of error = 0.05. Based on this formula, the resultant initial sample size was 384.
Wherein n is the initial sample size = 384, N is the total population size (total number of final year dental students in the 3 schools) = 443. Based on this formula, the adjusted sample size was 206.
An online, self-administered questionnaire comprising 13 questions was designed to assess the research experience of final year dental students in the participating schools. The questionnaire was initially prepared by the first three authors and was then reviewed and approved by the other authors. The questionnaire was developed following an extensive review of relevant literature to identify the most critical aspects of research projects conducted at the dental or medical schools and the most common challenges experienced by students with regards to research project design, research components, attributes, analysis, interpretation, drafting, writing, and presentation of the final outcomes.
The questionnaire was then pretested for both face and content validity. Face validity was assessed by a pilot study that evaluated clarity, validity, and comprehensiveness in a small cohort of 30 students. Content validity was assessed by the authors, who are all experienced academics with remarkable research profiles and experience in supervising undergraduate and postgraduate research projects. The authors critically evaluated each item and made the necessary changes whenever required. Furthermore, Cronbach’s alpha was used to assess the internal consistency/ reliability of the questionnaire and the correlation between the questionnaire items was found to be 0.79. Thereafter, online invitations along with the questionnaire were sent out to a total of 443 students, 280 from JUST, 96 from UoS and 67 from ODC, which represented the total number of final year students at the three schools. A first reminder was sent 2 weeks later, and a second reminder was sent after another 2 weeks.
In addition to basic demographic details, the questionnaire comprised questions related to the type of study conducted, the scope of the research project, whether the research project was proposed by the students or the instructors or both, the literature review part of the project, the statistical analysis performed, the final presentation of the project, the writing up of the resultant manuscript if applicable, the perceived benefits of the research project and finally suggestions to improve the research component for future students.
The outcomes of the study were the students’ research experience in terms of research design, literature review, data collection, analysis, interpretation and presentation, students’ perceived benefits from research, students’ perspective towards research in their future career and students’ suggestions to improve their research experience.
The exposures were the educational and clinical experience of students, research supervision by mentors and faculty members, and participation in extracurricular activities, while the predictors were the academic performance of students, previous research experience and self-motivation.
The collected responses were entered into a Microsoft Excel spreadsheet and analyzed using SPSS Statistics software, version 20.0 (SPSS Inc., Chicago, IL, USA). Descriptive data were presented as frequencies and percentages. For this study, only descriptive statistics were carried out as the aim was not to compare and contrast the three schools but rather to provide an overview of the research activities at the participating dental schools.
The heatmap generated to represent the answers for question 11 (perceived benefits of the research activity) was created using Python programming language (Python 3.11) and the pandas, seaborn, and matplotlib libraries. The heatmap was customized to highlight the count and percentage of responses in each component, with the highest values shown in red and the lowest values shown in blue.
Potentially eligible participants in this study were all final year dental students at the three dental schools (443 students, 280 from JUST, 96 from UoS and 67 from ODC). All potentially eligible participants were confirmed to be eligible and were invited to participate in the study.
The total number of participants included in the study, i.e. the total number of students who completed the questionnaire and whose responses were analyzed, was 369 (223 from JUST, 80 from UoS and 66 from ODC). The overall response rate was 83.3% (79.6% from JUST, 83.3% from UoS and 98.5% from ODC).
The highest proportion of participants were from JUST ( n = 223, 60.4%), followed by UoS ( n = 80, 21.7%), and then ODC ( n = 66, 17.9%). The majority of the participants were females ( n = 296, 80.4%), while males represented a smaller proportion ( n = 73, 19.6%). It is noteworthy that these proportions reflect the size of the cohorts in each college.
With regards to the type of study, half of final-year dental students in the 3 colleges participated in observational cross-sectional studies (i.e., population-based studies) ( n = 186, 50.4%), while literature review projects were the second most common type ( n = 83, 22.5%), followed by experimental studies ( n = 55, 14.9%). Longitudinal studies randomized controlled trials, and other types of studies (e.g., qualitative studies, case reports) were less common, with ( n = 5, 1.4%), ( n = 10, 2.7%), and ( n = 30, 8.1%) participation rates, respectively. Distribution of study types within each college is shown Fig. 1 .
Distribution in percent of study types within each college. JUST: Jordan University of Science and Technology, UOS: University of Sharjah, ODC: Oman Dental College
The most common scope of research projects among final-year dental students was in public health/health services ( n = 108, 29.3%) followed by dental education/attitudes of students or faculty ( n = 103, 27.9%) (Fig. 2 ). Biomaterials/dental materials ( n = 62, 16.8%) and restorative dentistry ( n = 41, 11.1%) were also popular research areas. Oral diagnostic sciences (oral medicine/oral pathology/oral radiology) ( n = 28, 7.6%), oral surgery ( n = 12, 3.2%) and other research areas ( n = 15, 4.1%) were less common among the participants. Thirty-two students (8.7%) were engaged in more than one research project.
Percentages of the scope of research projects among final-year dental students. JUST: Jordan University of Science and Technology, UOS: University of Sharjah, ODC: Oman Dental College
The majority of research projects were proposed through a discussion and agreement between the students and the instructor (55.0%). Instructors proposed the topic for 36.6% of the research projects, while students proposed the topic for the remaining 8.4% of the projects.
Most dental students (79.1%) performed the literature review for their research projects using internet search engines. Material provided by the instructor was used for the literature review by 15.5% of the students, while 5.4% of the students did not perform a literature review. More than half of the students ( n = 191, 51.7%) used multiple search engines in their literature search. The most popular search engines for literature review among dental students were PubMed (70.2% of cases) and Google Scholar (68.5% of cases). Scopus was used by 12.8% of students, while other search engines were used by 15.6% of students.
The majority of dental students ( n = 276, 74.8%) did not utilize the university library to gain access to the required material for their research. In contrast, 93 students (25.2%) reported using the university library for this purpose.
Dental students performed statistical analysis in their projects primarily by receiving help from the instructor ( n = 167, 45.2%) or using specialized software ( n = 168, 45.5%). A smaller percentage of students ( n = 34, 9.4%) consulted a professional statistician for assistance with statistical analysis. at the end of the research project, 58.4% of students ( n = 215) presented their work in the form of a manuscript or scientific paper. Other methods of presenting the work included PowerPoint presentations ( n = 80, 21.7%) and discussions with the instructor ( n = 74, 19.8%).
For those students who prepared a manuscript at the conclusion of their project, the most difficult part of the writing-up was the discussion section ( n = 155, 42.0%), followed by the methodology section ( n = 120, 32.5%), a finding that was common across the three colleges. Fewer students found the introduction ( n = 13, 3.6%) and conclusion ( n = 10, 2.7%) sections to be challenging. Additionally, 71 students (19.2%) were not sure which part of the manuscript was the most difficult to prepare (Fig. 3 ).
Percentages of the most difficult part reported by dental students during the writing-up of their projects. JUST: Jordan University of Science and Technology, UOS: University of Sharjah, ODC: Oman Dental College
The dental students’ perceived benefits from the research activity were evaluated across seven components, including literature review skills, research design skills, data collection and interpretation, manuscript writing, publication, teamwork and effective communication, and engagement in continuing professional development.
The majority of students found the research activity to be beneficial or highly beneficial in most of the areas, with the highest ratings observed in teamwork and effective communication, where 33.5% rated it as beneficial and 32.7% rated it as highly beneficial. Similarly, in the area of data collection and interpretation, 33.0% rated it as beneficial and 27.5% rated it as highly beneficial. In the areas of literature review skills and research design skills, 28.6% and 34.0% of students rated the research activity as beneficial, while 25.3% and 22.7% rated it as highly beneficial, respectively. Students also perceived the research activity to be helpful for the manuscript writing, with 27.9% rating it as beneficial and 19.2% rating it as highly beneficial.
When it comes to publication, students’ perceptions were more variable, with 22.0% rating it as beneficial and 11.3% rating it as highly beneficial. A notable 29.9% rated it as neutral, and 17.9% reported no benefit. Finally, in terms of engaging in continuing professional development, 26.8% of students rated the research activity as beneficial and 26.2% rated it as highly beneficial (Fig. 4 ).
Heatmap of the dental students’ perceived benefits from the research activity
The research course’s impact on students’ perspectives towards being engaged in research activities or pursuing a research career after graduation was predominantly positive, wherein 274 students (74.1%) reported a positive impact on their research perspectives. However, 79 students (21.5%) felt that the course had no impact on their outlook towards research engagement or a research career. A small percentage of students ( n = 16, 4.4%) indicated that the course had a negative impact on their perspective towards research activities or a research career after graduation.
Finally, when students were asked about their suggestions to improve research activities, they indicated the need for more training and orientation ( n = 127, 34.6%) as well as to allow more time for students to finish their research projects ( n = 87, 23.6%). Participation in competitions and more generous funding were believed to be less important factors to improve students` research experience ( n = 78, 21.2% and n = 63, 17.1%, respectively). Other factors such as external collaborations and engagement in research groups were even less important from the students` perspective (Fig. 5 ).
Precentages of dental students’ suggestions to improve research activities at their colleges
To the best of our knowledge, this report is the first to provide a comprehensive overview of the research experience of dental students from three leading dental colleges in the Middle East region, which is home to more than 50 dental schools according to the latest SCImago Institutions Ranking ® ( https://www.scimagoir.com ). The reasonable sample size and different curricular structure across the participating colleges enhanced the value of our findings not only for dental colleges in the Middle East, but also to any dental college seeking to improve and update its undergraduate research activities. However, it is noteworthy that since the study has included only three dental schools, the generalizability of the current findings would be limited, and the outcomes are preliminary in nature.
Cross-sectional (epidemiological) studies and literature reviews represented the most common types of research among our cohort of students, which can be attributed to the feasibility, shorter time and low cost required to conduct such research projects. On the contrary, longitudinal studies and randomized trials, both known to be time consuming and meticulous, were the least common types. These findings concur with previous reports, which demonstrated that epidemiological studies are popular among undergraduate research projects [ 4 , 10 ]. In a retrospective study, Nalliah et al. also demonstrated a remarkable increase in epidemiological research concurrent with a decline in the clinical research in dental students` projects over a period of 4 years [ 4 ]. However, literature reviews, whether systematic or scoping, were not as common in some dental schools as in our cohort. For instance, a report from Sweden showed that literature reviews accounted for less than 10% of total dental students` projects [ 14 ]. Overall, qualitative research was seldom performed among our cohort, which is in agreement with a general trend in dental research that has been linked to the low level of competence and experience of dental educators to train students in qualitative research, as this requires special training in social research [ 15 , 16 ].
In terms of the research topics, public health research, research in dental education and attitudinal research were the most prevalent among our respondents. In agreement with our results, research in health care appears common in dental students` projects [ 12 ]. In general, these research domains may reflect the underlying interests of the faculty supervisors, who, in our case, were actively engaged in the selection of the research topic for more than 90% of the projects. Other areas of research, such as clinical dentistry and basic dental research are also widely reported [ 4 , 10 , 14 , 17 ].
The selection of a research domain is a critical step in undergraduate research projects, and a systematic approach in identifying research gaps and selecting appropriate research topics is indispensable and should always be given an utmost attention by supervisors [ 18 ].
More than half of the projects in the current report were reasonably selected based on a discussion between the students and the supervisor, whereas 36% were selected by the supervisors. Otuyemi et al. reported that about half of undergraduate research topics in a Nigerian dental school were selected by students themselves, however, a significant proportion of these projects (20%) were subsequently modified by supervisors [ 19 ]. The autonomy in selecting the research topic was discussed in a Swedish report, which suggested that such approach can enhance the learning experience of students, their motivation and creativity [ 20 ]. Flexibility in selecting the research topic as well as the faculty supervisor, whenever feasible, should be offered to students in order to improve their research experience and gain better outcomes [ 12 ].
Pubmed and Google Scholar were the most widely used search engines for performing a literature review. This finding is consistent with recent reviews which classify these two search systems as the most commonly used ones in biomedical research despite some critical limitations [ 21 , 22 ]. It is noteworthy that students should be competent in critical appraisal of available literature to perform the literature review efficiently. Interestingly, only 25% of students used their respective university library`s access to the search engines, which means that most students retrieved only open access publications for their literature reviews, a finding that requires attention from faculty mentors to guide students to utilize the available library services to widen their accessibility to available literature.
Statistical analysis has classically been viewed as a perceived obstacle for undergraduate students to undertake research in general [ 23 , 24 ] and recent literature has highlighted the crucial need of biomedical students to develop necessary competencies in biostatistics during their studies [ 25 ]. One obvious advantage of conducting research in our cohort is that 45.5% of students used a specialized software to analyze their data, which means that they did have at least an overview of how data are processed and analyzed to reach their final results and inferences. Unfortunately, the remaining 54.5% of students were, partially or completely, dependent on the supervisor or a professional statistician for data analysis. It is noteworthy that the research projects were appropriately tailored to the undergraduate level, focusing on fundamental statistical analysis methods. Therefore, consulting a professional statistician for more complex analyses was done only if indicated, which explains the small percentage of students who consulted a professional statistician.
Over half of participating students (58.4%) prepared a manuscript at the end of their research projects and for these students, the discussion section was identified as the most challenging to prepare, followed by the methodology section. These findings can be explained by the students’ lack of knowledge and experience related to conducting and writing-up scientific research. The same was reported by Habib et al. who found dental students’ research knowledge to be less than that of medical students [ 26 ]. The skills of critical thinking and scientific writing are believed to be of paramount importance to biomedical students and several strategies have been proposed to enhance these skills especially for both English and non-English speaking students [ 27 , 28 , 29 ].
Dental students in the current study reported positive attitude towards research and found the research activity to be beneficial in several aspects of their education, with the most significant benefits in the areas of teamwork, effective communication, data collection and interpretation, literature review skills, and research design skills. Similar findings were reported by previous studies with most of participating students reporting a positive impact of their research experience [ 4 , 10 , 12 , 30 ]. Furthermore, 74% of students found that their research experience had a positive impact on their perspectives towards engagement in research in the future. This particular finding may be promising in resolving a general lack of interest in research by dental students, as shown in a previous report from one of the participating colleges in this study (JUST), which demonstrated that only 2% of students may consider a research career in the future [ 31 ].
Notably, only 11.3% of our students perceived their research experience as being highly beneficial with regards to publication. Students` attitudes towards publishing their research appear inconsistent in literature and ranges from highly positive rates in developed countries [ 4 ] to relatively low rates in developing countries [ 8 , 32 , 33 ]. This can be attributed to lack of motivation and poor training in scientific writing skills, a finding that has prompted researchers to propose strategies to tackle such a gap as mentioned in the previous section.
Finally, key suggestions by the students to improve the research experience were the provision of more training and orientation, more time to conduct the research, as well as participation in competitions and more funding opportunities. These findings are generally in agreement with previous studies which demonstrated that dental students perceived these factors as potential barriers to improving their research experience [ 8 , 10 , 17 , 30 , 34 ].
A major limitation of the current study is the inclusion of only three dental schools from the Middle East which my limit the generalizability and validity of the findings. Furthermore, the cross-sectional nature of the study would not allow definitive conclusions to be drawn as students’ perspectives were not evaluated before and after the research project. Potential confounders in the study include the socioeconomic status of the students, the teaching environment, previous research experience, and self-motivation. Moreover, potential sources of bias include variations in the available resources and funding to students’ projects and variations in the quality of supervision provided. Another potential source of bias is the non-response bias whereby students with low academic performance or those who were not motivated might not respond to the questionnaire. This potential source of bias was managed by sending multiple reminders to students and aiming for the highest response rate and largest sample size possible.
In conclusion, the current study evaluated the key aspects of dental students’ research experience at three dental colleges in the Middle East. While there were several perceived benefits, some aspects need further reinforcement and revision including the paucity of qualitative and clinical research, the need for more rigorous supervision from mentors with focus on scientific writing skills and research presentation opportunities. Within the limitations of the current study, these outcomes can help in designing future larger scale studies and provide valuable guidance for dental colleges to foster the research component in their curricula. Further studies with larger and more representative samples are required to validate these findings and to explore other relevant elements in undergraduate dental research activities.
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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M.A.: Conceptualization, data curation, project administration; supervision, validation, writing - original draft; writing - review and editing. A.Q: Conceptualization, data curation, project administration; writing - review and editing. M.E: Conceptualization, data curation, project administration; validation, writing - original draft; writing - review and editing. A.A.: data curation, writing - original draft; writing - review and editing. L.K.: Conceptualization, data curation, validation, writing - original draft; writing - review and editing. S.A: Conceptualization, writing - review and editing.
Correspondence to Mohammad S. Alrashdan .
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The current study was approved by the institutional review board of Jordan University of Science and Technology (Reference: 724–2022), the research ethics committee of the University of Sharjah (Reference: REC-22-02-22-3) and Oman Dental College (Reference: ODC-MA-2022-166).
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Alrashdan, M.S., Qutieshat, A., El-Kishawi, M. et al. Insights into research activities of senior dental students in the Middle East: A multicenter preliminary study. BMC Med Educ 24 , 967 (2024). https://doi.org/10.1186/s12909-024-05955-5
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This chapter addresses the peculiarities, characteristics, and major fallacies of literature review research design. Conducting and writing poor literature reviews is one of many ways to lower the value of an academic work. State-of-the-art literature reviews are valuable and publishable scholarly documents. Too many new scholars think that empirical research is the only proper research. In this chapter, researchers find relevant information on how to write a literature review research design paper and learn about typical methodologies used for this research design. The chapter closes with referring to related research designs.
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As mentioned previously, there are a number of existing guidelines for literature reviews. Depending on the methodology needed to achieve the purpose of the review, all types can be helpful and appropriate to reach a specific goal (for examples, please see Table 1).These approaches can be qualitative, quantitative, or have a mixed design depending on the phase of the review.
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall research objectives and approach. Whether you'll rely on primary research or secondary research. Your sampling methods or criteria for selecting subjects. Your data collection methods.
Literature Review is a comprehensive survey of the works published in a particular field of study or line of research, usually over a specific period of time, in the form of an in-depth, critical bibliographic essay or annotated list in which attention is drawn to the most significant works. Also, we can define a literature review as the ...
Literature Review. A literature review is a discussion of the literature (aka. the "research" or "scholarship") surrounding a certain topic. A good literature review doesn't simply summarize the existing material, but provides thoughtful synthesis and analysis. The purpose of a literature review is to orient your own work within an existing ...
Types of Literature Review are as follows: Narrative literature review: This type of review involves a comprehensive summary and critical analysis of the available literature on a particular topic or research question. It is often used as an introductory section of a research paper. Systematic literature review: This is a rigorous and ...
The research, the body of current literature, and the particular objectives should all influence the structure of a literature review. It is also critical to remember that creating a literature review is an ongoing process - as one reads and analyzes the literature, one's understanding may change, which could require rearranging the literature ...
This chapter addresses the literature review research design's peculiarities, characteristics, and significant fallacies. Conducting and writing poor literature reviews is one way to lower academic work's value. State-of-the-art literature reviews are valuable and publishable scholarly documents. Too many new scholars think that empirical ...
A literature review is meant to analyze the scholarly literature, make connections across writings and identify strengths, weaknesses, trends, and missing conversations. A literature review should address different aspects of a topic as it relates to your research question. A literature review goes beyond a description or summary of the ...
A literature review is defined as "a critical analysis of a segment of a published body of knowledge through summary, classification, and comparison of prior research studies, reviews of literature, and theoretical articles." (The Writing Center University of Winconsin-Madison 2022) A literature review is an integrated analysis, not just a summary of scholarly work on a specific topic.
A literature review is a critical analysis and synthesis of existing research on a particular topic. It provides an overview of the current state of knowledge, identifies gaps, and highlights key findings in the literature. 1 The purpose of a literature review is to situate your own research within the context of existing scholarship ...
A literature review is "a comprehensive survey of the works published in a particular field of study or line of research, usually over a specific period of time, in the form of an in-depth, critical bibliographic essay or annotated list in which attention is drawn to the most significant works" (Reitz, 2014).
A literature review involves researching, reading, analyzing, evaluating, and summarizing scholarly literature (typically journals and articles) about a specific topic. The results of a literature review may be an entire report or article OR may be part of a article, thesis, dissertation, or grant proposal.
Study designs: Part 7 - Systematic reviews. In this series on research study designs, we have so far looked at different types of primary research designs which attempt to answer a specific question. In this segment, we discuss systematic review, which is a study design used to summarize the results of several primary research studies.
Abstract. Literature reviews establish the foundation of academic inquires. However, in the planning field, we lack rigorous systematic reviews. In this article, through a systematic search on the methodology of literature review, we categorize a typology of literature reviews, discuss steps in conducting a systematic literature review, and ...
A systematic review is not a traditional literature review, but a self-contained research project that explores a clearly defined research problem using existing studies. The design of a systematic review differs from other review methods because distinct and exacting principles are applied to the evaluative process of analyzing existing ...
The purpose of a review of healthcare literature is primarily to summarise the knowledge around a specific question or topic, or to make recommendations that can support health professionals and organisations make decisions about a specific intervention or care issue. 5 In addition, reviews can highlight gaps in knowledge to guide future research.
Qualitative, narrative synthesis. Thematic analysis, may include conceptual models. Rapid review. Assessment of what is already known about a policy or practice issue, by using systematic review methods to search and critically appraise existing research. Completeness of searching determined by time constraints.
A literature review is important because it: Explains the background of research on a topic. Demonstrates why a topic is significant to a subject area. Discovers relationships between research studies/ideas. Identifies major themes, concepts, and researchers on a topic. Identifies critical gaps and points of disagreement.
Systematic Review A summary of the clinical literature. A systematic review is a critical assessment and evaluation of all research studies that address a particular clinical issue. The researchers use an organized method of locating, assembling, and evaluating a body of literature on a particular topic using a set of specific criteria.
The choice of a specific type depends on your research approach and design. The following types of literature review are the most popular in business studies: Narrative literature review, also referred to as traditional literature review, critiques literature and summarizes the body of a literature. Narrative review also draws conclusions about ...
This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literature—skills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly ...
A literature review may consist of simply a summary of key sources, but it usually has an organizational pattern and combines both summary and synthesis, often within specific conceptual categories.A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information in a way that informs how you are planning to investigate ...
A systematic review is a type of review that uses repeatable methods to find, select, and synthesize all available evidence. It answers a clearly formulated research question and explicitly states the methods used to arrive at the answer. Example: Systematic review. In 2008, Dr. Robert Boyle and his colleagues published a systematic review in ...
In applied behavior analytic research, punishment contingencies are often directly adjusted to facilitate a socially significant change in participant responding (Pokorski & Barton, 2021).Behavior analytic interventions have included a variety of clinical and non-clinical populations.
Data collection. To identify the target literature for further analysis, this study conducted several rounds of searching the Web of Science (WOS) database for articles (Gough et al., 2012; Møller & Myles, 2016).A systematic literature review using the PRISMA guidelines was used for article selection (Møller & Myles, 2016).First, we searched for articles using the keyword "STEM Education ...
A total of 369 respondents completed the questionnaire. Cross-sectional studies represented the most common research type (50.4%), with public health (29.3%) and dental education (27.9%) being the predominant domains. ... In the areas of literature review skills and research design skills, 28.6% and 34.0% of students rated the research activity ...
Technology-based interventions have been used to improve reading skills for students with reading difficulties. Thus, many literature reviews and meta-analyses have investigated the effectiveness of this type of intervention; however, constant changes in the technology field make it important to review the most recent studies and how these studies were implemented to improve reading skills for ...
Aims: The aim of this narrative synthesis was to explore the necessary and sufficient conditions required to define moral distress. Background: Moral distress is said to occur when one has made a moral judgement but is unable to act upon it. However, problems with this narrow conception have led to multiple redefinitions in the empirical and conceptual literature. As a consequence, much of the ...
Literature review research. part of every research paper (staggered design with literature review as one stage) and stand-alone research design. aims at summarizing the existing body of knowledge and identifying the gaps in it. different forms of literature review research design available to address the objective.