Document Detail

The DINA model as a constrained general diagnostic model: two variants of a model equivalency.
MedLine Citation:
PMID:  23297749     Owner:  NLM     Status:  Publisher    
The 'deterministic-input noisy-AND' (DINA) model is one of the more frequently applied diagnostic classification models for binary observed responses and binary latent variables. The purpose of this paper is to show that the model is equivalent to a special case of a more general compensatory family of diagnostic models. Two equivalencies are presented. Both project the original DINA skill space and design Q-matrix using mappings into a transformed skill space as well as a transformed Q-matrix space. Both variants of the equivalency produce a compensatory model that is mathematically equivalent to the (conjunctive) DINA model. This equivalency holds for all DINA models with any type of Q-matrix, not only for trivial (simple-structure) cases. The two versions of the equivalency presented in this paper are not implied by the recently suggested log-linear cognitive diagnosis model or the generalized DINA approach. The equivalencies presented here exist independent of these recently derived models since they solely require a linear - compensatory - general diagnostic model without any skill interaction terms. Whenever it can be shown that one model can be viewed as a special case of another more general one, conclusions derived from any particular model-based estimates are drawn into question. It is widely known that multidimensional models can often be specified in multiple ways while the model-based probabilities of observed variables stay the same. This paper goes beyond this type of equivalency by showing that a conjunctive diagnostic classification model can be expressed as a constrained special case of a general compensatory diagnostic modelling framework.
Matthias von Davier
Related Documents :
11114269 - The measurement of personal values in survey research: a test of alternative rating pro...
4067649 - Problems with the use of "weight for height" tables.
23401049 - Changes in the physicochemical and sensory characteristics in raw and grilled ovine meat.
25014979 - Sparsity-inspired non-parametric probability characterization for radio propagation in ...
24233419 - Ozone exposure : areas of potential ozone risk for selected tree species in austria.
21600909 - Kinetics of the inhibitory interaction of organophosphorus neuropathy inducers and non-...
23684899 - The most precise computations using euler's method in standard floating-point arithmeti...
24663099 - Generalised power graph compression reveals dominant relationship patterns in complex n...
22061029 - Comparisons of the effect of electrical stimulation methods on postmortem ph decline in...
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-8
Journal Detail:
Title:  The British journal of mathematical and statistical psychology     Volume:  -     ISSN:  2044-8317     ISO Abbreviation:  Br J Math Stat Psychol     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0004047     Medline TA:  Br J Math Stat Psychol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2013 The British Psychological Society.
Research & Development, Educational Testing Service, Princeton, New Jersey, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Cloning and Expression of a Urate Oxidase and Creatinine Hydrolase Fusion Gene in Escherichia coli.
Next Document:  Giant and Broadband Absorption Enhancement in Colloidal Quantum Dot Monolayers through Dipolar Coupl...