Open AccessLATENT‐CLASS ITEM RESPONSE MODELS
Author(s) -
Haberman Shelby J.
Publication year - 2005
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.2005.tb02005.x
Subject(s) - latent class model , item response theory , class (philosophy) , simple (philosophy) , local independence , mathematics , probabilistic latent semantic analysis , computation , econometrics , logistic regression , latent variable , statistics , computer science , latent variable model , artificial intelligence , psychometrics , algorithm , philosophy , epistemology
Latent‐class item response models with small numbers of latent classes are quite competitive in terms of model fit to corresponding item‐response models, at least for one‐ and two‐parameter logistic (1PL and 2PL) models. Provided that care is taken in terms of computational procedures and in terms of use of only limited numbers of latent classes, computations are relatively simple in the case of latent classes.