Meta-analysis is a powerful, increasingly popular method for synthesizing empirical evidence and plays a crucial role in advancing scientific knowledge. It allows researchers to generate more reliable conclusions, reconcile conflicting findings across studies, answer broader questions beyond individual studies, and support evidence-based decision-making for practitioners.
Course content
This three-day workshop offers a comprehensive introduction to meta-analysis, tailored specifically for Management researchers. What sets this workshop apart are three key aspects:
- A Holistic Approach: While many courses focus solely on the statistical analysis of meta-data, this workshop covers the entire meta-analysis process—from formulating research questions to publishing findings in scholarly journals.
- Accessible and Applied Learning: Rather than emphasizing complex statistics, the workshop presents meta-analysis in an approachable and applied way. You'll receive non-technical explanations and gain hands-on experience using user-friendly software. You are welcome to bring your own data set, but practice data will also be provided.
- Introductory yet Advanced: This workshop goes beyond basic meta-analysis techniques, introducing advanced methods and applications in an easy-to-understand manner. If you're seeking deeper understanding of their statistical intricacies, a follow-up course will be recommended.
Specific topics that will be covered are:
- Literature search and screening
- Data extraction and coding
- Basic meta-analysis
- Meta-regression and sub-group analysis
- Meta-analytic structure equations modeling
- Publication bias analysis
- Meta-analytic reporting standards
By the end of this workshop, you'll have a solid foundation in meta-analysis, ready to apply it in your own research and practice
Literature
De Jong, B. A. (2025). Why You Should Become a Meta-Analyst: A SMARRT Persuasion Attempt. Working paper.
Grewal, D., Puccinelli, N. & Monroe, K.B. (2018). Meta-analysis: integrating accumulated knowledge. Journal of the Academy of Marketing Science, 46, 9–30. https://doi.org/10.1007/s11747-017-0570-5
Harari, M. B., Parola, H. R., Hartwell, C. J., & Riegelman, A. (2020). Literature searches in systematic reviews and meta-analyses: A review, evaluation, and recommendations. Journal of Vocational Behavior, 118, 103377. https://doi.org/10.1016/j.jvb.2020.103377
Villiger, J., Schweiger, S. A., & Baldauf, A. (2021). Making the Invisible Visible: Guidelines for the Coding Process in Meta-Analyses. Organizational Research Methods, 25(4), 716-740. https://doi.org/10.1177/10944281211046312
Field, A. P. & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology, 63, 665-694. https://doi.org/10.1348/000711010x502733
Kepes, S., Wang, W., & Cortina, J. M. (2024). Heterogeneity in meta-analytic effect sizes: An assessment of the current state of the literature. Organizational Research Methods, 27(3), 369–413. https://doi.org/10.1177/10944281231169942
Gonzalez-Mulé, E., & Aguinis, H. (2018). Advancing Theory by Assessing Boundary Conditions With Metaregression: A Critical Review and Best-Practice Recommendations. Journal of Management, 44(6), 2246–2273. https://doi.org/10.1177/0149206317710723
Bergh, D. D., Aguinis, H., Heavey, C., Ketchen, D. J., Boyd, B. K., Su, P., Lau, C. L. L., & Joo, H. (2016). Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship. Strategic Management Journal, 37(3), 477–497. https://doi.org/10.1002/smj.2338
Kepes, S., Wang, W. & Cortina, J.M. (2023). Assessing Publication Bias: a 7-Step User’s Guide with Best-Practice Recommendations. Journal of Business and Psychology, 38, 957–982. https://doi.org/10.1007/s10869-022-09840-0
Moreau, D., & Gamble, B. (2022). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, 27(3), 426–432. https://doi.org/10.1037/met0000351
Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 3–25. https://doi.org/10.1037/amp0000191 (only the section on meta-analysis)
About Prof. Bart de Jong
I am a Full Professor of Leadership and Organizational Behavior at Durham University Business School, UK. My research focuses on organizational trust, teams, leadership, and diversity, which I explore through both primary studies and, increasingly, meta-analyses and reviews. My work has been published in leading journals, including Academy of Management Annals, Academy of Management Journal, Journal of Applied Psychology, and Journal of Management, where I also serve on the editorial review boards. I have previously delivered meta-analysis workshops at multiple universities. The current course builds on a SAMS-funded meta-analysis workshop I co-taught last year at Durham University alongside Prof. Pursey Heugens (EUR). My Durham University profile page can be found here.
Selected publications:
Banks, G. C., Rasmussen, L. M., Tonidandel, S. ... et al. (in press). Women’s and Men’s Authorship Experiences: A Prospective Meta-Analysis. Journal of Management. https://doi.org/10.1177/01492063251315701 De Jong, B. A., Lee, A., Gill, H., & Zheng, X. (2025). Felt Trust: Added Baggage or Added Value? A Critical Review, Constructive Redirection, and Exploratory Meta-Analysis. Journal of Organizational Behavior, 46(2), 288-313. https://doi.org/10.1002/job2838
Greer, L. L., De Jong, B. A., Schouten, M. E., & Dannals, J. E. (2018). Why and When Hierarchy Impacts Team Effectiveness: A Meta-Analytic Integration. Journal of Applied Psychology, 103(6), 591-613. http://dx.doi.org/10.1037/apl0000291
De Jong, B. A., Dirks, K. T., & Gillespie, N. (2016). Trust and Team Performance: A Meta-Analysis of Main Effects, Moderators, and Covariates. Journal of Applied Psychology, 101(8), 1134-1150. https://doi.org/10.1177/0149206320943658
Contact
- Content related questions
Dr Bart de Jong
Email address - Enrolment related questions
ERIM Doctoral Office
Email address
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ERIM Full-time and Part-time PhD candidates can register free of charge via the university’s student information system, Osiris. A EUR student account is required to log in and enrol.
Course fee: €250 per EC credit
Fee waiver: Available for ERIM members and ERIM Full-time & Part-time PhD candidates.
After submitting your application, you will receive payment instructions. Your spot is confirmed once payment is received. When submitting the online form, you can choose between direct payment or invoice. A fee waiver is available for ERIM members and ERIM Full-time & Part-time PhD candidates.
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Participation in ERIM Summer School grants you also access to Erasmus University Library. The online collection includes e-journals, e-books, online articles and other resources. It can be accessed easily through the Library website with your EUR student account.