ERIC Number: EJ1174577
Record Type: Journal
Publication Date: 2018
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1536-6367
EISSN: N/A
A General Cognitive Diagnosis Model for Continuous-Response Data
Minchen, Nathan; de la Torre, Jimmy
Measurement: Interdisciplinary Research and Perspectives, v16 n1 p30-44 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 there has been only one continuous-response model, the C-DINA, proposed to date. The C-DINA model offers a promising first step at modeling continuous process data, but the application of a model with a strong conjunctive assumption may be limited. Thus, the generalized version of the C-DINA model is proposed, and its viability is demonstrated with both a simulation study and a real data example.
Descriptors: Cognitive Measurement, Item Response Theory, Formative Evaluation, Models, Validity, Simulation, Data Analysis, Sample Size
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A