Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
Surgery and positive Bakry-Émery Ricci curvature. [PDF]
Reiser P, Tripaldi F.
europepmc +1 more source
Approximating multidimensionality with asymmetric unidimensional IRT models
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
Optimum Achievable Rates in Two Random Number Generation Problems with f-Divergences Using Smooth Rényi Entropy. [PDF]
Nomura R, Yagi H.
europepmc +1 more source
Abstract Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed within the theory of knowledge structures with the aim of producing knowledge ...
Luca Stefanutti +2 more
wiley +1 more source
Evolution Equations on Co-evolving Graphs: Long-Time Behaviour and the Graph-Continuity Equation. [PDF]
Carrillo JA, Esposito A, Mikolás L.
europepmc +1 more source
New estimation methods for diagnostic classification models
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation. [PDF]
Bilal M, Lucian-Popa I.
europepmc +1 more source
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
A multi-agent equilibrium model in an incomplete market with discrete dividends: Applications to long-term discount curves. [PDF]
Saito T, Takahashi A.
europepmc +1 more source

