Going beyond Data Synthesis: Meta-Analysis for Theory Advancement in Business and Economic Research Summer School


Summer School

Aims

This course is open to all Research Master students, PhD candidates and faculty members. However, we assume that participants have some basic knowledge of regression analysis and can interpret its results.

The course aims to teach participants how to develop coding questionnaires and code studies. It also shows how to perform data analysis, draw conclusions, and present findings, thus giving some indications on how to get published in a top journal. Moreover, we theoretically discuss and empirically show the benefits and limitations of meta-analysis.

We go through the following steps of meta-analytical research:

  1. Selection of topic and research proposition;
  2. Collection of studies;
  3. Development of coding questionnaires;
  4. Coding of studies;
  5. Analysis of the data, drawing conclusions, and presentation of findings;

We will also provide explanations on how to get your work published in a journal.

Information

The course is open to all Research Master students, PhD candidates and faculty members. It is assumed that participants have some basic knowledge on how to interpret analyses. For teaching and practice purposes, participants will use simulated datasets.

Day 1

Discuss what meta-analysis is and how it has been applied in management and economics over the years. We will focus on the three general goals (determine overall size of an effect, moderator analyses, mediation analyses) and discuss steps 1 and 2 above.

Day 2

Discuss extensively steps 3 and 4 and do some short exercises on how to develop a questionnaire and start coding of studies.

Day 3

Discuss step 5 and do analyses together in a computer lab. If there is time, Marc will also focus on some of his new work and new possibilities in meta-analyses. In the afternoon there is time for some individual appointments.

We expect this to be an interactive class. We expect that everyone is an active and motivated participant, is prepared to ask questions, discuss alternative views, and contribute to the flow of the class. For further information please contact Marc van Essen.

Assessment

After the course you will do meta-analysis by yourself or review a meta-analysis by yourself.

Materials

Background literature

Lipsey and Wilson (2001), Practical meta-analysis. Good introductory text.

Readings for day 1:

  • Carney, M., Gedajlovic, E., Heugens, P.P.M.A.R., Van Essen, M., Van Oosterhout, H. 2011. Business group affiliation, performance, context, and strategy: A meta-analysis. Academy of Management Journal, 54, 437-460.
  • Combs, J.G., Ketchen, D.J., Crook, T.R., Roth, P.L. 2011. Assessing cumulative evidence within ‘macro’ research: Why meta-analysis should be preferred over voting counting. Journal of Management Studies, 48, 178-197.
  • Franke, G.R. 2001. Applications of meta-analysis for marketing and public policy: A review. Journal of Public Policy & Marketing, 20, 186-200.
  • Stanley, T.D. 2001. Wheat from chaff: Meta-analysis as quantitative literature review. Journal of Economic Perspectives, 15, 131-150.
  • Editors. 2017. The suitability of simulations and meta-analysis for submissions to academy of management journal. Academy of Management Journal, 60, 2045-2048.
  • Be systematic.
  • Cortina, J. M. 2003. Apples and oranges (and pears, Oh my!): The search for moderators in meta-analysis, Organizational Research Methods, 6, 415-439.
  • Doucouliagos, C., Stanly, T.D. 2013. Are all economic facts greatly exaggerated? Theory competition and selectivity. Journal of Economic Survey, 27, 316-339.
  • Kirca, A. H. 2010. The use of meta-analysis in international business research: Its current status and suggestions for better practices. International Business Review, 19, 306-314.
  • Van Essen, M., Otten, J., Carberry, E. 2015. Assessing managerial power theory: A meta-analytic approach to understanding the determinants of CEO compensation. Journal of Management, 41, 164-202.

Day 2/3

  • Be comprehensive.
  • Doucouliagos, H., Ulubasoglu, M. A. 2008. Technical appendix for democracy and economic growth: A meta-analysis. Working Paper.
  • Tihanyi, L., Griffith, D. A., & Russell, C. J. (2005). The effect of cultural distance on entry mode choice, international diversification, and MNE performance: A meta-analysis. Journal of International Business Studies, 36(3), 270-283.
  • Beugelsdijk, S., Kostova, T., Kunst, V. E., Spadafora, E., & van Essen, M. (2018). Cultural Distance and Firm Internationalization: A Meta-Analytical Review and Theoretical Implications. Journal of Management, 44(1), 89-130.
  • Please check coding forms in advance.
  • Hitt, M. A., Hoskisson, R. E., & Kim, H. (1997). International diversification: Effects on innovation and firm performance in product-diversified firms. Academy of Management Journal, 40(4), 767-798.
  • Please check excel files in advance.
  • Bijmolt, T.H.A., T., Pieters, R.G.M. 2001. Meta-analysis in marketing when studies contain multiple measurements. Marketing Letters, 12, 157-169.
  • Van Essen, M., Heugens, P. P. M. A. R., Otten, J., Van Oosterhout, H. 2012. An institution-based view of executive compensation: A multilevel meta-analytic test. Journal of International Business Studies, 43, 396-423.
  • Be rigorous
  • Gonzalez-Mulé, E., & Aguinis, H. Advancing Theory by Assessing Boundary Conditions with Meta-regression: A Critical Review and Best-practice Recommendations. Journal of Management.
  • Joshi, A., Son, J., Roh, H. 2015. When can women close the gap? A meta-analytic test of sex differences in performance and rewards. Academy of Management Journal, 58, 1516-1545.
  • Stanley, T.D., Doucouliagos, H. 2014. Meta-regression approximation to reduce publication selection bias, Research Synthesis Methods, 5, 60-78.
  • Stanley, T.D., Doucouliagos, H. 2015. Neither fixed nor random: Weighted least squares meta-analysis. Statistics in Medicine, 34, 2116-2127.
  • Stanley, T.D., Jarrell, S.B. 2005. Meta-regression analysis: A quantitative method of literature surveys, Journal of Economic Surveys, 19, 299-308
  • 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, 477-497.
  • Jeong, S-H., & Harrison, D. A. 2017. Glass breaking, strategy making, and value creating: Meta-analytic outcomes of women as CEOs and TMT members. Academy of Management Journal, 60, 1219-1252.
  • Stanley, T.D., Doucoaligaos, H., Giles, M., Heckmeyer, J.H., Johnston, R.J., Laroche, P., Nelson, J. P., Paldam, M., Poot, J., Pugh, G., Rosenberger, R.S., Rost, K. 2013. Meta-analysis of economic research reporting guidelines. Journal of Economic Surveys, 27, 390-394.
  • Journal article reporting standards (JARS), meta-analysis reporting standards (MARS), and flow of participating through each stage of an experiment or quasi-experiment.

Additional info

Marc van Essen (Ph.D. Erasmus University) is an Associate Professor of International Business at the Moore School of Business, University of South Carolina and permanent visiting professor at EM Lyon Business School, France. His research interests include international business, non-market strategy, corporate governance, family firm strategy, and meta-analytic research methods. His works applying meta-analysis have been published or are forthcoming in the following journals: Academy of Management Journal, Journal of Banking and Finance, Journal of International Business Studies, Journal of Management, Journal of Management Studies, and Organization Science, and other outlets.

Marc brings understanding of leading-edge meta-analytical approaches in management and economics. This is a great opportunity to receive training and obtain knowledge on a very current data analysis technique from one of the most accredited scholars using it.

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For the timetable of this course, please click here.

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Registration

ERIM PhD candidates and RM students: Please register on OSIRIS student using your student ERNA.

ERIM faculty members: Please register on SIN Online.

External (non-ERIM) doctoral students: Please fill in the registration form and e-mail it to summerschool@erim.eur.nl by 4 weeks prior to the start of the course.

Please note that the number of places for this course is limited. In case the number of registrations exceeds the number of available seats, priority is given to ERIM RM students and PhD candidates.

This course is free of charge for ERIM members (faculty members, PhD candidates and RM students). For external participants, the course fee is 250 euro per ECTS credit.