What is the statistical analysis that combines results of multiple scientific studies?
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Signed in but can't access contentOxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian. Institutional account managementFor librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more. A meta-analysis is a type of statistical analysis in which the results of multiple studies are combined and then analyzed. Researchers can perform this type of study when there have been a number of previous studies looking at the same question. A meta-analysis is essentially a study of past studies. It is used to get an integrated result. A researcher reviews previously published studies on a topic, then analyzes the various results to find general trends across the studies. It can be used in psychology, general medical practice, or other fields. This article discusses why a meta-analysis might be used and why this type of research is important. It also covers some of the potential advantages and disadvantages of performing a meta-analysis in psychology research. Why Is Meta-Analysis Important?With new studies from around the world constantly being published, the amount of research is overwhelming. This is true even for the most experienced practitioner. A meta-analysis is helpful because it's designed to summarize information. It follows a few general principles. A meta-analysis:
Quantitative analysis involves using mathematical and statistical techniques to measure, model, and understand aspects of human behavior. A single study has more limitations. A
meta-analysis provides more robust results that can help psychology researchers better understand the magnitude of an effect. A meta-analysis provides important conclusions and trends that can influence future research, policy-makers' decisions, and how patients receive care. Purpose of a Meta-AnalysisIn addition to summarizing and analyzing integrated results, a meta-analysis can have other important objectives. Psychology researchers might use this type of research to:
Increasing Sample SizeOne of the reasons why meta-analyses are so useful is because of an all too common problem across many research studies: small sample sizes. Using a large sample size requires more resources, including funds and personnel, than a small sample size. When individual research projects don't study a significant number of subjects, it can be difficult to draw reliable and valid conclusions. Meta-studies help overcome the issue of small sample sizes because they review multiple studies across the same subject area, essentially creating a larger sample size. Establishing Statistical SignificanceMeta-analyses can also help establish statistical significance across studies that might otherwise seem to have conflicting results. When you take many studies into consideration at once, the statistical significance established is much greater than with one study alone. This is important because statistical significance increases the validity of any observed differences. This increases the reliability of the information. Benefits of a Meta-AnalysisMeta-analyses offer numerous advantages over individual studies. Some key advantages include:
Meta-analysis provides a view of the research that has been done in a particular field, summarizes and integrates different findings, and provides important directions for future research. A meta-analysis also reduces the amount of work required to research a topic for other researchers and policy-makers. Instead of having to look at the results of many different smaller studies, people can instead get a more accurate view of what might be happening in a population by looking at the meta-analysis results. RecapMeta-analysis has a number of benefits, including increased statistical power, greater accuracy, and a summary of findings regarding a particular question. DisadvantagesAlthough a powerful research tool, meta-analysis does have some disadvantages. It can be difficult and time-consuming to find all of the appropriate studies to examine. Meta-analyses also require complex statistical skills and techniques. This can be intimidating and challenging for researchers who may lack experience with this type of research. Some researchers have suggested that a meta-analysis often has the effect of halting research on a particular topic. Rather than giving
directions for future research, it may imply that a specific question has been answered and is not in need of additional inquiry. Types of BiasWhile researchers acknowledge that a meta-analysis is an effective tool, researchers' procedures may impact their results. Following certain principles is critical to drawing valid and reliable conclusions. Even minor deviations from protocol can produce biased and misleading results. The three main types of bias are:
RecapBias may occur if publications only accept positive results, if researchers use incomplete searches when conducting a literature review, or if their selection criteria leads to the exclusion of some studies. Examples of Meta-Analysis in PsychologyIt can be helpful to look at how a meta-analysis might be used in psychology to research specific topics. For example, imagine that a small study showed that consuming sugar before an exam was correlated to decreased test performance. Taken alone, such results would imply that students should avoid sugar consumption before taking an exam. However, a meta-analysis that pools data looking at eating behavior and subsequent test results might demonstrate that this previous study was an outlier. A Word From VerywellA meta-analysis can be a useful research tool in psychology. In addition to providing a more accurate look at a specific topic, such studies often make it easier for policy-makers and other decision-makers to see a summary of findings more quickly. By Kristalyn Salters-Pedneault, PhD Thanks for your feedback! What is the name for a statistical analysis that combines the results of multiple studies examining the same research question?Meta-analysis is the use of statistical methods to summarize the results of independent studies. By combining information from all relevant studies, meta-analysis can provide more precise estimates of the effects of health care than those derived from the individual studies included within a review.
What type of study combines the results of many other studies?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.
Which research method is used to statistically combine multiple studies in a systematic review?A meta-analysis is the statistical process of analyzing and combining results from several similar studies. Here, the definition of the word “similar” is not made clear, but when selecting a topic for the meta-analysis, it is essential to ensure that the different studies present data that can be combined.
What is a metaMeta-analysis is a research process used to systematically synthesise or merge the findings of single, independent studies, using statistical methods to calculate an overall or 'absolute' effect.2 Meta-analysis does not simply pool data from smaller studies to achieve a larger sample size.
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