William Thompson

Diagnostic classification models (DCMs) of educational tests provide more fine-grained and actionable scores to guide instruction and detect intervention effects. Despite these benefits, DCMs have yet to gain widespread use in applied research or operational settings. This slow growth is in part due to a lack of full-featured and user-friendly software, as well as a lack of awareness of how these models can be applied to substantive research questions. The goals of this project are to expand...

The goals of this project are to develop new software for the estimation and evaluation of the log-linear cognitive diagnosis model (the R package measr), and to use the software to conduct a simulation study evaluating the efficacy and efficiency of different model fit measures under a variety of conditions. Diagnostic classification models (DCMs) have shown the ability to provide more fine-grained and actionable scores to guide instruction and detect intervention effects. Despite these ben...