| Literature DB >> 25838246 |
Jürgen Heller1, Luca Stefanutti2, Pasquale Anselmi2, Egidio Robusto2.
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.Keywords: DINA; DINO; MS-DINA; knowledge structure; latent class model; local identifiability; problem function; skill function; skill multimap
Mesh:
Year: 2015 PMID: 25838246 DOI: 10.1007/s11336-015-9457-x
Source DB: PubMed Journal: Psychometrika ISSN: 0033-3123 Impact factor: 2.500