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Pan, Qianqian; Reichert, Frank; de la Torre, Jimmy; Law, Nancy – Educational Measurement: Issues and Practice, 2022
Hong Kong was one of the first places hit with the COVID-19 outbreak in January 2020 and has since responded with several periods of full or partial school suspension, during which teaching and learning often occurred remotely using digital means. During this time, collecting research data and testing students have become more difficult than…
Descriptors: Technological Literacy, Student Evaluation, COVID-19, Pandemics
Ma, Wenchao; de la Torre, Jimmy – Educational Measurement: Issues and Practice, 2019
In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…
Descriptors: Models, Classification, Measurement, Identification
Minchen, Nathan; de la Torre, Jimmy – Measurement: Interdisciplinary Research and Perspectives, 2018
Cognitive diagnosis models (CDMs) allow for the extraction of fine-grained, multidimensional diagnostic information from appropriately designed tests. In recent years, interest in such models has grown as formative assessment grows in popularity. Many dichotomous as well as several polytomous CDMs have been proposed in the last two decades, but…
Descriptors: Cognitive Measurement, Item Response Theory, Formative Evaluation, Models