Results 11 to 20 of about 342,086 (247)

Generalized Bayesian method for diagnostic classification models [PDF]

Psychometrika
This study extends the loss function-based parameter estimation method for diagnostic classification models proposed by C. Ma, de la Torre, et al. (2023, Psychometrika) to consider prior knowledge and uncertainty of sampling. To this end, we integrate the loss function-based estimation method with the generalized Bayesian method.
Yamaguchi K, Liu Y, Xu G.
europepmc   +3 more sources

Q-Matrix Designs of Longitudinal Diagnostic Classification Models With Hierarchical Attributes for Formative Assessment [PDF]

Frontiers in Psychology, 2020
Longitudinal diagnostic classification models (DCMs) with hierarchical attributes can characterize learning trajectories in terms of the transition between attribute profiles for formative assessment.
Wei Tian, Jiahui Zhang, Qian Peng, Xiaoguang Yang   +3 more
doaj   +2 more sources

Diagnostic Classification Models for Actionable Feedback in Education: Effects of Sample Size and Assessment Length

Frontiers in Education, 2022
E-learning is increasingly used to support student learning in higher education. This results in huge amounts of item response data containing valuable information about students’ strengths and weaknesses that can be used to provide effective feedback to
Lientje Maas, Matthieu J. S. Brinkhuis, Liesbeth Kester, Leoniek Wijngaards-de Meij   +3 more
doaj   +3 more sources

Prospects for development of culturally inclusive models for education: diagnostic classification models

Frontiers in Education
Diagnostic classification models (DCM) have been a recent topic of conversation in the development of educational materials. Specifically, there has been significant criticism of their validity and use within the educational system.
Matias Urrutia-Jorde
doaj   +3 more sources

Improved Wald Statistics for Item-Level Model Comparison in Diagnostic Classification Models [PDF]

Applied Psychological Measurement, 2019
Tao Xin, Yanlou Liu, Björn Andersson
exaly   +2 more sources

Using Diagnostic Classification Models in Psychological Rating Scales [PDF]

Tutorials in Quantitative Methods for Psychology, 2020
The purpose of this article is to demonstrate how to use diagnostic classification models (DCMs) in psychological rating scales and reflect on how DCMs differ from classical test theory (CTT) and item response theory (IRT) scoring approaches in terms of ...
Liu, Ren, Shi, Dexin
doaj   +1 more source

A Diagnostic Framework for the Empirical Evaluation of Learning Maps

Frontiers in Education, 2022
Learning progressions and learning map structures are increasingly being used as the basis for the design of large-scale assessments. Of critical importance to these designs is the validity of the map structure used to build the assessments.
W. Jake Thompson, Brooke Nash
doaj   +1 more source

On the Identifiability of Cognitive Diagnostic Models: Diagnosing Students’ Translation Ability

Journal of Language and Education, 2023
Background. In recent years Cognitive Diagnostic Models (CDMs) have attracted a great deal of attention from researchers in a variety of educational fields. However, they have not been taken into consideration in Translation Quality Assessment (TQA), in
Mona Tabatabaee-Yazdi, Aynaz Samir
doaj   +1 more source

Growth Modeling in a Diagnostic Classification Model (DCM) Framework–A Multivariate Longitudinal Diagnostic Classification Model [PDF]

Frontiers in Psychology, 2020
A multivariate longitudinal DCM is developed that is the composite of two components, the log-linear cognitive diagnostic model (LCDM) as the measurement model component that evaluates the mastery status of attributes at each measurement occasion, and a generalized multivariate growth curve model that describes the growth of each attribute over time ...
Pan, Qianqian, Qin, Lu, Kingston, Neal
openaire   +4 more sources

Approximate Invariance Testing in Diagnostic Classification Models in the Presence of Attribute Hierarchies: A Bayesian Network Approach

Psych, 2023
This paper demonstrates the process of invariance testing in diagnostic classification models in the presence of attribute hierarchies via an extension of the log-linear cognitive diagnosis model (LCDM).
Alfonso J. Martinez, Jonathan Templin
doaj   +1 more source