Applied Measurement Modeling

Replay Access: Expires 6 months (180 days) after purchase
Original Livestream:
May 24-28, 2021
Instructors: Patrick Curran & Greg Hancock

Student: $795
Professional: $995

Category: Asynchronous, 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 methods’ underpinnings and assumptions and on applying these methods in practice. 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 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


Although this is the first class that Patrick and Greg will be co-teaching, they have each received enthusiastic reviews for prior individually-taught classes. A sample of reviews for each instructor follow.

Participant comments from Patrick's class on Structural Equation Modeling:

Dr. Curran seemed to care for every student and the effort put into the class was apparent. The resources were excellent.

I really enjoyed this course. Patrick is a wonderful professor and his humor always brightens my day.

Patrick did a nice job adapting the course to a remote learning format. I learned a great deal from the course and greatly appreciated the R code made available to complete the problem sets.

Patrick is an engaging instructor and I thought his humor and colloquialisms served the course content well.

This class was excellent in all ways. Patrick made structural equation modeling accessible and ... fun. I'm immensely grateful for the content I learned and the materials I gained as a participant in this class.

Dr. Curran is an excellent instructor. The caliber of instruction offered by Dr. Curran should serve as a benchmark for all quant courses, especially intro courses in graduate statistical education.

Professor Curran has prepared outstanding course materials and resources I am sure I will continue to consult and refer back to (e.g., course lectures, hand outs, problem sets, readings) thorough–out my career

Participant comments from Greg's class on Structural Equation Modeling:

I would recommend this training to any researcher in the social sciences.  It was excellent!  Thank you for making such difficult subject matter understandable and enjoyable.

The course was fantastic!  Greg is one of the few experts who is able to convey complex statistics in understandable ways.

Delightful to see teaching as superb as the content expertise.

Best stats course I've ever had.

The class was extremely well organized and very clear. The materials were useful and pitched at an appropriate level.

Great! I want to recommend this to my friends and colleagues.

Dr. Hancock’s ability to make SEM interesting and clear is impressive.  His sense of humor helped keep tough topics fun.  The materials provided are invaluable.

Gregory Hancock is one of the best quantitative instructors I’ve ever had the pleasure learning from.  I cannot say enough about how amazed I was with the quality of both the materials and the presentation.

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