Applied Measurement Modeling

May 23-27, 2022
Replay Access: 1 year from end of workshop
Instructors: Patrick Curran & Greg Hancock

Student: $795
Professional: $995

Category: Livestream, Workshops

The goal of this five-day workshop is to provide an in-depth treatment of 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, exploratory and confirmatory factor analysis, measurement invariance (via multiple group factor analysis and recent advances in parameter moderation), and measurement models for binary and ordinal items (i.e., item response theory models within a factor analysis framework). 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. Daily computer demonstrations 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 the modeling tools needed to develop and validate measurement instruments and obtain optimal scores within their own substantive programs of study.


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 former 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

Hear the instructors talk about the class in this video interview conducted in 2021 (please note that the dates for this year differ).

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 previous offerings of this workshop:

Lecturers remained engaging throughout the workshop (which is no small feat for > 40 hours of stats) - The biggest strength was MPlus/R walkthroughs. It's one thing to read about a concept, but having the opportunity to apply was huge.

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.

Applied Measurement Modelling was 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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