On the Link between Cognitive Diagnostic Models and Knowledge Space Theory

Jürgen Heller (), Luca Stefanutti, Pasquale Anselmi and Egidio Robusto

Psychometrika, 2015, vol. 80, issue 4, 995-1019

Abstract: The present work explores the connections between cognitive diagnostic models (CDM) and knowledge space theory (KST) and shows that these two quite distinct approaches overlap. It is proved that in fact the Multiple Strategy DINA (Deterministic Input Noisy AND-gate) model and the CBLIM, a competence-based extension of the basic local independence model (BLIM), are equivalent. To demonstrate the benefits that arise from integrating the two theoretical perspectives, it is shown that a fairly complete picture on the identifiability of these models emerges by combining results from both camps. The impact of the results is illustrated by an empirical example, and topics for further research are pointed out. Copyright The Psychometric Society 2015

Keywords: knowledge structure; latent class model; DINA; DINO; MS-DINA; skill multimap; problem function; skill function; local identifiability (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11336-015-9457-x

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