Measurement Modeling: Foundations

December 12-14, 2022
Replay Access: 1 year from end of workshop
Instructors: Patrick Curran & Greg Hancock

Student: $475
Professional: $595

Category: Livestream, Workshops

The goal of this three-day workshop is to provide an introduction to the core concepts involved in the design, validation, and scoring of multi-item measurement scales commonly used in the educational, psychological, behavioral, and health sciences. Topics include an introduction to scale development, principal components analysis, exploratory factor analysis, and confirmatory factor analysis. Equal emphasis is placed on understanding the statistical framework and underlying assumptions of each method and on the practical application of these techniques across a wide array of research settings. Pre-recorded demonstrations show how to fit a variety of factor models to real data using SPSS, SAS, R, and Mplus. The unifying goal of the workshop is to provide researchers with an introduction to the modeling tools they need to develop and validate measurement instruments and obtain optimal scores within their own substantive programs of study.

Note: This workshop is an abbreviated version of the 5-day Applied Measurement Modeling workshop that was offered in May, 2022, and is currently available for asynchronous access. The longer workshop includes additional coverage of factor analysis with discrete items and the evaluation of measurement invariance using both multiple group measurement models and moderated nonlinear factor analysis.


Patrick J. Curran, Ph.D.

Patrick Curran is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won awards in recognition of teaching excellence. Read More

Gregory R. Hancock, Ph.D.

Greg Hancock is Professor, Distinguished Scholar-Teacher, and Director of the Measurement, Statistics, and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park, and Director of the Center for Integrated Latent Variable Research (CILVR). Read More

Workshop Details


In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from a prior version of this workshop:

The workshop had many strengths. The teachers were very knowledgeable and their teaching was entertaining. The best was that we get access to the course afterwards. This provides enough time to really learn the course contents.

Comprehensive, good background/context for WHY things are done a certain way.

Patrick and Greg were great at making the material understandable and accessible for attendees.  The demo notes were also extremely well put together.

Patrick, Greg, and Ethan [teaching assistant] are knowledgeable and great at teaching. Their explanations are thorough and accessible. The banter is awesome and really makes the workshop fun.

Informative, engaging, and applicable. During the workshop I actually thought, "I like learning statistics" which would have horrified my undergraduate self. I would recommend it and CenterStat to my colleagues.

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