Consortium for the Advancement of Research Methods & Analysis

June 2025 Live Online Short Course

Advanced Multilevel Analysis II:
Panel Data, Consensus/Emergent Models,
and Dichotomous Outcomes

Dr. Paul Bliese

Session II: June 9-12 | 10:00 AM EDT – 3:00 PM EDT

Course Description

The CARMA “Advanced Multilevel Analysis II: Panel Data, Consensus/Emergent Models, and Dichotomous Outcomes” short course provides the (1) theoretical foundation, and (2) resources and skills necessary to conduct a variety of advanced multilevel and longitudinal analyses using the R mixed-effect modeling packages nlme and lme4. The course briefly reviews basic models (e.g., 2-level mixed and growth models) before addressing more advanced topics (econometric fixed-effect models for panel data, discontinuous growth models, consensus emergent models, and multilevel models for dichotomous outcomes). Practical exercises, with real-world research data are provided. Participants are encouraged to bring datasets to the course and apply the principles to their specific areas of research. The course is best suited for faculty and graduate students who have a foundational understanding of mixed-effects models.
References

Course Preview

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Meet the Instructor

Paul D. Bliese is the Department Chair and Jeff B. Bates Chaired Professor in the Management Department at the Darla Moore School of Business at the University of South Carolina. He received a Ph.D. from Texas Tech University. After graduate school, he worked for 22 years at the Walter Reed Army Institute of Research and retired as a Colonel. Throughout his career, Dr. Bliese has led efforts to use statistical methods to answer complex organizational problems and advance theory and practice. He developed and maintains the multilevel package for R, and has published in a variety of journals to include the Academy of Management Journal, the Journal of Applied Psychology, the Journal of Management, and Organizational Research Methods. He served as an Associate Editor for the Journal of Applied Psychology from 2010 to 2017 and as the Editor in Chief for Organizational Research Methods from 2017 to 2021. In 2024 he began a new role as the first Deputy Editor for Research Methods for the Academy of Management Journal.

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