Webcast Lecture Series
Best Practices for Using Matched Sample Designs to Reduce Selection Effects
Dr. Don Bergh
University of Denver
January 31st, 12:00 PM ET
Lecture Abstract
This presentation will examine the application of matched sample research designs in management research. These studies are becoming increasingly popular as a structural remedy to endogenous threats arising from selection bias associated with samples and treatments. The session will include the rationale for matched sample designs, strengths and weaknesses in their current application, a review of techniques used to produce them, and a set of best practice recommendations for guiding their future use.
Meet the Presenter
Donald Bergh (PhD Colorado-Boulder) is the Louis D. Beaumont Chair of Business Administration and Professor of Management at the University of Denver. He is also a visiting professor at University College Dublin and at Erasmus University Rotterdam. His research on corporate strategy and research methods has appeared in AMJ, SMJ, OS, JIBS, JoM, JMS, SO, ORM, SEJ, AMLE, among others. He has served as an Associate Editor (AMJ, ORM, JMS), guest co-editor of four special issues in ORM, as a member of editorial review boards (AMJ, SMJ, OS, JMS, AMR, ORM, SO), as the inaugural Chair of the Scientific Integrity and Rigor Task of JoM, and as Co-editor of the series Research Methodology in Strategy and Management (Emerald) for volumes 1-8. He is currently Editor-in-Chief of the Oxford Research Encyclopedia of Business and Management. He has held various leadership positions in the Strategic Management Society including founding Co-Chair of the Research Methods Paper Prize, as founding Program Chair of the Corporate Strategy Interest Group, Program Chair of the Research Methods Community, and as Program Co-Chair of the 35th Annual Conference in Denver, 2015.
