Learn Meta Analysis in Psychology [With Easy Example:2023]

What is Meta Analysis in Psychology?

An image of Researchers analyzing data for meta-analysis in psychology
An image of Researchers analyzing data for meta-analysis in psychology

Meta Analysis in Psychology is a powerful quantitative research technique that combines and analyzes data from multiple studies, providing a comprehensive and reliable answer to complex research questions. In a field as diverse as psychology, where conflicting theories and findings abound, meta-analysis serves as an invaluable methodological tool to make sense of the vast body of research.

What exactly is meta-analysis in psychology? It involves integrating results from all published studies on a specific topic, effectively overcoming the limitations of individual studies with small sample sizes. By pooling together data from various sources, meta-analysis enables researchers to draw meaningful conclusions and identify patterns that may not be apparent in individual studies alone.

The field of psychology is diverse. There are many opposing theories and divergent findings published when examining different topics. For example, some research has shown that a particular drug has a positive effect against depression, while other studies show that the drug has no effect. So, scientists must interpret the results of any study in the context of its limitations.

Developed in the mid-1970s, meta-analysis has become a very useful methodological tool for accumulating research on a given topic for the past few decades. The meta-analysis integrates results from all published studies on the same topic. Here the sample size is the number of studies regarding the same research question, which in turn helps overcome the issue of small sample sizes.

Steps of meta-analysis

There are six steps involved in meta-analysis: (1) Defining the research question; (2) literature search; (3) coding of studies; (4) calculating an effect-size index; (5) statistical analysis and interpretation, and (6) publication (Sánchez-Meca, 2010; Cooper, 2010; Egger, Davey Smith, & Altman, 2001; Lipsey & Wilson, 2001; Littell, Corcoran, & Pillai, 2008; SánchezMeca & Marín-Martínez, 2010.)

  1. Defining the Research Questions: Every meta-analysis starts by formulating clear and objective research questions. To maintain focus, it is crucial to address one specific metric at a time, allowing for a thorough analysis.

  2. Literature Search: The next step involves an extensive review of relevant studies related to the research questions. Utilize electronic databases like PsycInfo, MedLine, and ERIC, while also exploring conference proceedings, reference lists, and direct communication with researchers.

  3. Coding of Studies: In this phase, main characteristics of the included studies are recorded. A comprehensive codebook outlines the variables to be coded, capturing essential aspects of each study. While some characteristics may present challenges due to incompleteness or ambiguity, meticulous coding ensures accuracy.

  4. Calculating an Effect-Size Index: Once the necessary data is assembled, the fourth step entails calculating effect sizes, which represent the differences in average scores between intervention and control groups. Effect sizes from larger studies are given more weight due to their greater precision and reliability.

  5. Statistical Analysis and Interpretation: With the dataset in hand, statistical analysis comes into play. Effect sizes and sampling variances are calculated for each study, forming a matrix of data. From this, the average effect-size index and confidence interval are determined. Additionally, researchers explore heterogeneity in effect sizes and identify potential moderator variables to explain any variation.

  6. Publication: The final step involves disseminating the results of the meta-analysis in a standardized format. Through publication, the broader scientific community gains access to the synthesized findings, enhancing collective knowledge and fostering further research in the field.

Graph showing effect sizes in meta-analysis of psychology studies.
Graph showing effect sizes in meta-analysis of psychology studies.

By leveraging the power of meta-analysis, psychologists can unravel complex phenomena, bridge gaps in knowledge, and establish a more robust foundation for evidence-based practices. Through the systematic integration of research findings, meta-analysis in psychology contributes to the advancement of the field and aids in the formulation of informed decisions.

If you seek a reliable and comprehensive approach to examine various facets of psychology, meta-analysis stands as an indispensable methodological tool. Harness its potential to gain deeper insights and make meaningful contributions to the field of psychology.

Remember, when conducting meta-analysis in psychology, it is crucial to adhere to rigorous research standards, ensuring the accuracy and integrity of the synthesized findings.

References and further readings

  1. Cooper, H. (2010). Research synthesis and meta-analysis: A step-by-step approach (3rd ed.). Thousand Oaks, CA: Sage.

2. Egger, M., Davey Smith, G., & Altman, D. G. (Eds.) (2001). Systematic reviews in health care: Meta-analysis in context (2nd ed.). London: BMJ Pub. Group.

3. Lipsey, M. W., & Wilson, D. B. (2001). Practical Meta-analysis. Thousand Oaks, CA: Sage

4. Littell, J. H., Corcoran, J., & Pillai, V. (2008). Systematic reviews and meta-analysis. Oxford, UK: Oxford University Press.

5. Rosenthal, R., & DiMatteo, M. R. (2001). Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews. Annual Review of Psychology, 52(1), 59–82. https://doi.org/10.1146/annurev.psych.52.1.59

6. Sánchez-Meca, J., & Marín-Martínez, F. (2010). Meta-analysis in psychological research. International Journal of Psychological Research, 3(1), 150–162. https://doi.org/10.21500/20112084.860

7. Shorten, A., & Shorten, B. (2012). What is meta-analysis? Evidence Based Nursing, 16(1), 3–4. https://doi.org/10.1136/eb-2012-101118

8. Sutton, A. J., & Higgins, J. P. T. (2008). Recent developments in meta-analysis. Statistics in Medicine, 27, 625-650.

9. Very Well Mind. (2020). The Role of Meta-Analysis in Scientific Studies. https://www.verywellmind.com/definition-of-meta-analysis-425254

10. Wilson, L. C. (2014, September 30). Introduction to Meta-Analysis: A Guide for the Novice. Association for Psychological Science – APS. https://www.psychologicalscience.org/observer/introduction-to-meta-analysis-a-guide-for-the-novice