Robustness of Hierarchical Modeling of Skill Association in Cognitive Diagnosis Models
By Jonathan Templin, Robert Henson, S. Templin, Louis A. Roussos. 2008
54 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/9119206b915899814ee8544bfe1371f5e8c71e4c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In Management Science and Operations Research
Citations in the corpus
- On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix (2011, methodology): “…simulation studies have already shown that parameter recovery is good for the DINA and (restricted) higher order DINA models (e.g., de la Torre & Douglas, 2004, 2008; Templin et al., 2008) but rather is to examine the effects of including an irrelevant skill on estimates of the latent class sizes.”
- Skills Diagnosis Using IRT-Based Latent Class Models (2007, methodology): “The hierarchical parameterization used in their study represented an initial attempt to model the dimensionality of the skill space hierarchically, a topic further developed by Templin (2006) and Templin, Henson, Templin, and Roussos (in press) .”