June 10-12 Short Courses

Intermediate SEM: Test Your Theory with Your Data

Dr. Larry Williams

Course Description

This course is aimed at faculty and students with an introductory understanding of structural equation methods who have a data set, theory, and are ready for analysis for a conference paper or journal submission. If your goal is to have concentrated time to learn best techniques for conducting and reporting SEM analysis/results, this course is for you. Attendees will learn how to conduct model comparisons to make inferences about their measurement and theoretical models, as well as advantages and disadvantages of different approaches to model evaluation and theory testing.

The course will consist of five sections, with each section having a lecture component followed by students applying what they have learned to their own project and data. If needed, an example and data can be provided by the instructor. Topics include:
• Review of model specification and parameter estimation
• Overview of model evaluation
• Logic and computations for model comparisons and goodness-of-fit measures
• Analysis of residuals and latent variables
• Model comparison strategies

Those who attend should have experience in fitting structural equation models with software such as LISREL, MPlus, EQS, AMOS, or LAVAAN. This experience requirement can be met by completion of graduate coursework or Introduction to SEM Short Course. Attendees will be expected to use their own laptop computers installed with their SEM software, and they should also know how to import their data from an SPSS/Excel/CSV save file into their SEM software program.

Required Software: Your preferred SEM software package

Event Information

June 10-12, 2024

June 10-11: 8:30 a.m. – 5:00 p.m. EDT
June 12: 8:30 a.m. – 12:00 p.m. EDT

Wayne State University
Mike Ilitch School of Business

Meet the Instructor

Dr. Larry Williams joined the faculty at the Rawls College of Business at Texas Tech University in August 2019, relocating from the University of Nebraska Lincoln where he served as Director of the Survey Research and Methods Program and was the Donald and Shirley Clifton Chair of Survey Science. Dr. Williams received his Ph.D. in organizational behavior from the Indiana University School of Business and his main research interests involve the application of structural equation methods to various substantive and methodological concerns. He served as the Founding Editor of Organizational Research Methods (ORM) and as Consulting Editor for the Research Methods and Analysis section of the Journal of Management (1993-1996). He has been a member of the editorial board of Structural Equation Modeling: A Multidisciplinary Journal. Dr. Williams also has served as Chairperson for the Research Methods Division (RMD) of the Academy of Management. His research has been published in the Journal of Applied Psychology, the Academy of Management Journal, the Academy of Management Annals, Organizational Behavior and Human Decision Processes, Personnel Psychology, and Organizational Research Methods, and he was Co-Principal Investigator on a research project on mentoring and responsible conduct of research that was funded by the National Institute of Health.

Video Introduction