Research Methods Workshops (SWARM)
Successfully run over the last several summers and attracting participants from the US, Europe and the Far East, Coller's Summer Workshops in Advanced Research Methods (SWARM) are 3 to 4-day state-of-the-art methodological workshops designed for junior faculty and PhD students in business and management and related fields (the social and medical sciences). Each workshop consists of 30 contact hours, with transfer credit available.
SWARM provides its participants with a hands-on setting for following the latest advances in statistical analysis, keeping up to date with available applications and improving their technique. Taught by scholars at the forefront of methodology design from the Coller School of Management, SWARM workshops are offered in several key sets of advanced research methods: advanced regression, structural equation modeling and multi-level modeling.
SWARM 2017 Academic Director - Prof. Peter Bamberger, Tel Aviv Business School
SWARM 2017 will be held during June and July, 2017. It will consist of three separate workshops, each focusing on a specific type of statistical modeling.
1st - Meta-Analysis | June 25th-June 27th, 2017
Lecture: Hannah R. Rothstein, Ph.D., Zicklin School of Business, Baruch College; Editor-in-Chief, Research Synthesis Methods
Topics: Effect Size [ES], Calculation of Weighted ES, Fixed Models, Random Models, Categorical and Continuous Moderators, Funnel Plots and Publication Bias
2nd - Advanced Regression Analysis | June 29th - July 3rd, 2017
Topics: Moderation, Mediation, Moderated Mediation, Logistic Regression ( Binary Dependent Variable), Poisson Regression , ( Count Dependent Variable)
3rd - Theoretical and Methodological Foundations of Multilevel Research | July 5th - 9th, 2017
Lecture: Gilad Chen, Ph.D., Robert H. Smith School of Business, University of Maryland; Editor-in-Chief, Journal of Applied Psychology
Topics: Random Coefficient Models – HLM, rWG, ICC; Cross-level Effects, Cross-level Moderation; Growth Models
- Ph.D. students in any area of business administration (e.g., Organizational Studies, Strategy, Management, Marketing and Consumer Behavior) with some background in multivariate statistical analysis
- Junior Faculty in schools of business administration, or any social science discipline
- Ph.D. students in any of the Social Sciences (e.g., psychology, sociology, social work, economics, political science)
- Physicians and other medical sciences researchers
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