Research Methods Workshops (SWARM)

Preface First

This is a debugging block

Preface Second

This is a debugging block

Preface Third

This is a debugging block

Content

This is a debugging block

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.

Register Now

At SWARM you can learn the latest statistical methods in an efficient, effective and friendly manner. Our short workshops offer participants a hands-on setting in which they can acquire, discuss, and apply the latest advances in statistical analysis. Our faculty consists of all well-known experts who are at the forefront of research.

 

Upcoming Workshop

SWARM 2020 will be held in June & July 2020. It will consist of 3 separate workshops, each focusing on a specific type of statistical modeling.​
 

 

Course 1: June 28-30: Mplus and Latent Variable Analysis (daily 08:30 - 16:30)

  • Structural Equation Modeling (SEM) and Confirmatory Factor Analysis
  • Testing Mediation and Moderation in Structural Equation Modeling
  • Longitudinal Analysis Models, Calculation of Weighted ES
  • Fixed & Random Models, Categorical and Continuous Moderators, Funnel Plots and Publication Bias

            View Syllabus

 

 Course 2:July 5-7: Select Topics (daily 08:30 - 16:30)

  • Power Analysis
  • Moderation and Mediation
  • Latent Class analysis
  • Replicability in Behavioral and Social Science (Presented by Prof. Danny Heller)

            View Syllabus

 

Course 3: July 12-14: Multi-level Modeling (daily 08:30 - 16:30)

  • Hierarchical Linear Models (HLM)
  • Random Coefficient Models – rWG, ICC; Cross-level Effects, Cross-level Moderation;
  • Growth Models using the open source language R

            View Syllabus

 

Academic Participants

  • 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
  • Ph.D. students in any of the Social Sciences (e.g., psychology, sociology, social work, economics, political science)
  • Junior Faculty in schools of business administration, or any social science discipline
  • Physicians and other medical sciences researchers

Accommodation

 

Contact Us

Ms. Rachel Tahar,

Workshop Administrator

Email: racheltahar@tauex.tau.ac.il

Phone: +972-3640-8513

Postscript First

This is a debugging block

Postscript Second

This is a debugging block

Postscript Third

This is a debugging block

Postscript Fourth

This is a debugging block