TDCM: An R Package for Estimating Longitudinal Diagnostic Classification Models

• In Event: Innovation Demonstration II

Abstract

Longitudinal diagnostic classification models (DCMs) are psychometric tools for analyzing diagnostic assessments administered over multiple occasions. Different from traditional psychometric frameworks for growth, longitudinal DCMs provide categorical growth estimates with criterion-referenced interpretations. This brief hands-on training introduces and demonstrates a newly developed R package for estimating longitudinal DCMs.

Authors

• Matthew James Madison, UNIVERSITY OF GEORGIA

• Sergio Haab

• Minjeong Jeon, UCLA

• Michael Cotterell, University of Georgia