Attention: You need to quickly create a (free!) user account within the Elevate learning management system (this website) to access any modules - you do NOT have to be an NCME member to do this. 

Other Modeling Frameworks

Digital Module 04: Diagnostic Measurement Checklists
‚ÄčIn this digital ITEMS module, Natacha Carragher, Jonathan Templin, and colleagues provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement / classification models (DCMs) centered around checklists for practitioners. A library of macros and supporting files for Excel, SAS, and Mplus is provided along with video tutorials for key practices.
Module 14: Generalizability Theory
This ITEM module introduced the framework and the procedures of generalizability theory using a hypothetical scenario involving writing proficiency.
Module 20: Rule-space Methodology
This ITEM module examined the logic of Tatsuoka's rule-space model, as it applies to test development and analysis.
Module 26: Structural Equation Modeling
This module focuses on foundational issues to inform readers of the potentials as well as the limitations of SEM.
Module 43: Data Mining for Classification and Regression
This ITEMS module first provides a review of data mining techniques for classification and regression, which should be accessible to a wide audience in education measurement.