Results 251 to 260 of about 9,688,169 (280)
Some of the next articles are maybe not open access.
Conditional Independence and Dimensionality of Cognitive Diagnostic Models: a Test for Model Fit
Journal of Classification, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Youn Seon Lim, Fritz Drasgow
openaire +2 more sources
Explanatory Cognitive Diagnostic Models
2019Student- and school-level information from large-scale educational data have been shown to explain trends in test taker performance and to inform factors that can enhance the learning environment. This study presents methods to specify and model predictive relationships of latent and observed explanatory variables within a cognitive diagnostic model ...
Yoon Soo Park, Young-Sun Lee
openaire +1 more source
Information matrix estimation procedures for cognitive diagnostic models
British Journal of Mathematical and Statistical Psychology, 2018Two new methods to estimate the asymptotic covariance matrix for marginal maximum likelihood estimation of cognitive diagnosis models ( CDM s), the inverse of the observed information matrix and the sandwich‐type estimator, are introduced. Unlike several previous covariance matrix estimators,
Yanlou Liu +3 more
openaire +3 more sources
Cognitive balanced model: a conceptual scheme of diagnostic decision making
Journal of Evaluation in Clinical Practice, 2011AbstractRationale Diagnostic reasoning is a critical aspect of clinical performance, having a high impact on quality and safety of care. Although diagnosis is fundamental in medicine, we still have a poor understanding of the factors that determine its course.According to traditional understanding, all information used in diagnostic reasoning is ...
C. Lucchiari, G. Pravettoni
openaire +3 more sources
Loglinear Cognitive Diagnostic Model (LCDM)
2019The Log-Linear Cognitive Diagnosis Model (LCDM; Henson RA, Templin J, Willse J, Psychometrika 74:191–210, 2009) provides a general approach to diagnostic modeling that is deeply tied to log-linear models. As a result, the parameterization and concepts of the LCDM can be directly tied to the concepts of a general linear model for use of a multiple way ...
Robert Henson, Jonathan L. Templin
openaire +1 more source
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)
PsychometrikaCognitive diagnostic models (CDMs) are discrete latent variable models popular in educational and psychological measurement. In this work, motivated by the advantages of deep generative modeling and by identifiability considerations, we propose a new family of DeepCDMs, to hunt for deep discrete diagnostic information.
openaire +3 more sources
Identifiability of Partial-Mastery Cognitive Diagnostic Models
30 pages, 1 figure, 1 ...Wu, Jun +2 more
openaire +1 more source
Exploring Temporal Functional Dependencies Between Latent Skills in Cognitive Diagnostic Models
Springer Proceedings in Mathematics and Statistics, 2021Richard Golden
exaly
Latent Class Models and Cognitive Diagnostic Models
2020Klaas Sijtsma, L. Andries van der Ark
openaire +1 more source