Meta Analysis

Abstract and Learning Objectives

In all disciplines within management research, numerous effects have been studied multiple times, and summarizing the existing empirical findings may result in an important scientific contribution. For example, one could determine the overall effect of a particular marketing instrument (price, advertising, etc.) on sales and whether the effect depends on market characteristics, study design, or other moderators. Meta-analysis encompasses a broad set of methods to conduct a systematic, quantitative review of the literature in order to derive empirical generalizations. As such, conducting a meta-analysis is an excellent project for a PhD student or other (junior) researcher having to review the literature on a particular topic.

This workshop will deal with methods for conducting a meta-analysis. The purpose is to train the participants to conduct and publish a high-quality scientific meta-analysis within the broad field of management research. The seminar will cover the entire meta-analysis research process, from problem formulation, literature search, coding of the effects, analysis, to reporting and publishing the findings.

The emphasis is on knowledge and skills needed to conduct a meta-analysis, not only on the statistical details. All steps of the meta-analysis process (including the statistical analyses) will be demonstrated and practiced in assignments during the workshop. In addition, all topics will be illustrated by means of actual meta-analysis examples. Participants will be informed about relevant literature (textbooks and journal articles) and software supporting meta-analysis projects. In particular, most analyses will be demonstrated using R; in particular the package metafor.
 

Date of event:

12. - 15. März 2019
 

Location:

University of Hamburg
Moorweidenstraße 18
Raum 0005.1
20148 Hamburg

Prof. Dr. Tammo Bijmolt
University of Groningen

Registration:

To get an overview of the amount of the participation fee and to register for the course, please use this link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/
You can also send an email to prodok(at)vhbonline(dot)org.

Registration Deadline: 24. Februar 2019