Going beyond data synthesis: Meta-analysis for theory advancement in business and economic research Summer School


Summer School

Aims

The course aims to teach the development of coding questionnaires, coding of studies and to show how the analysis of the data is done, how conclusions can be drawn and how to present the findings, and thus to give some indications on how to get published in a top management journal. The benefits and limitations of Meta-Analysis are discussed both in theory as well as during the empirical examples. We will discuss the following steps in the meta-analysis research process:

  1. Selection of topic and research proposition;         
  2. Collection of studies;
  3. Development of coding questionnaire;         
  4. Coding of studies;
  5. Analysis of the data, conclusions, and presentation of findings andgeting your work published in a top 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 Prof. Marc van Essen (marc.vanessen@unisg.ch)

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, 0001-4273, 54(3), 437-460.
  • Franke, G.,2001. Applications of meta-analysis for marketing and public policy: A review. Journal of Public Policy & Marketing, 20 (2), 186-200.
  • Geyskens, I., Krishnan, R., Steenkamp, J. B. & Cunha, P. V.  2009. A review and evaluation of meta-analysis practices in management research. Journal of Management, 35, 393-419.
  • Stanley. T. D. 2001. Wheat from chaff: Meta-analysis as quantitative literature review. Journal of Economic Perspectives, 15 (3), 131-150.
  • 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 (1), 164-202.
  • Cortina, J. M. 2003., Apples and oranges (and pears, Oh my!): The search for moderators in meta-analysis, Organizational Research Methods, 6 (4), 415-439.
  • Stanley, T. D.,  & Jarrell, S. B. 2005. Meta-regression analysis: A quantitative method of literature surveys. Journal of Economic Surveys, 19 (3), 299-308
  • Van Essen, M., Heugens, P. P. M. A. R., van Oosterhout, H., & Otten, J. 2012. An institution-based view of executive compensation: A multilevel meta-analytic test. Journal of International Business Studies, 43, 396-423.

Day 2/3

  • Bergh, D. D., Aguinis, H., Heavey, C., Ketchen, D. J., Boyd, B. K., Su, P., & 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.
  • Doucouliagos, H., & Ulubasoglu, M. A. 2008. Technical appendix for democracy and economic growth: A meta-analysis. Working Paper.
  • Fassina, N. E., Jones, D. A., & Uggerslev, K. L. 2008. Relationship Clean-Up Time: Using Meta-Analysis and Path Analysis to Clarify Relationships Among Job Satisfaction, Perceived Fairness, and Citizenship Behaviors†. Journal of Management, 34(2), 161-188.
  • Kirca, A.H., & Yaprak, A. 2010. The use of meta-analysis in international business research: Its current status and suggestions for better practice. International Business Review 19 (2010) 306–314.
  • 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 (2), 390-394.

Additional info

About the lecturer

Prof. Dr. Marc van Essen is Full Professor of Entrepreneurship and Innovation at the School of Management (SoM-HSG). From 2012 to 2015, he worked at the Sonoco International Business Department, Moore School of Business, University of South Carolina.

Prof. Dr. Marc van Essen’s research approach is multidisciplinary. He integrates behavior-oriented, organizational, economic and management-focused theories and applies a wide variety of methods. Currently, he is focusing on the characteristics of ownership structures in companies and on an institution-based view of business strategies.

Marc brings understanding of leading-edge meta-analytical approaches in management and economics. His meta-analysis work has been published or is forthcoming in: Academy of Management Journal (2*), Asia Pacific Journal of Management, Journal of Banking and Finance, Journal of International Business Studies, Journal of Management (2*), and Organization Science. 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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PhD candidates, Research Master students and faculty members of ERIM can register for this course via SIN Online Registration.

External (non-ERIM) participants are welcome to this course. To register, please fill in the registration form and e-mail it to miizuka@rsm.nl by 3 weeks prior to the start of the course. Please note that the number of places for this course is limited.

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