HYBRID MODEL OF IRT AND LATENT CLASS MODELS
نویسندگان
چکیده
منابع مشابه
Latent class CUB models
The paper proposes a latent class version of CUB models for ordinal data to account for unobserved heterogeneity. The extension, called LC-CUB, is useful when the heterogeneity is originated by clusters of respondents not identified by covariates: this may generate a multimodal response distribution, which cannot be adequately described by a standard CUB model. The LC-CUBmodel is a finite mixtu...
متن کاملLatent Class Models
Over the past several years more significant books have been published on latent class and other types of finite mixture models than any other class of statistical models. The recent increase in interest in latent class models is due to the development of extended computer algorithms, which allow today's computers to perform latent class analysis on data containing more than just a few variable...
متن کاملMultilevel Latent Class Models
The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and nonparametric random-coefficient LC models are proposed here, which will make it possible to modify this assumption. For example, the models can be used for the analysis of data collected with complex sampling designs, data with a multilevel structure, and multiple-group data fo...
متن کاملTwo-Parameter Logistic IRT Model with Latent Classes
Abstract: In this paper we consider the well known two-parameter logistic model from the Item Response Theory (IRT) and suppose the presence of several latent classes among the test population which classes differ each other in the item parameter structure. We give a computer implementation of this model and also empirically examine the model by means of a software test simulator. Parameters ar...
متن کاملLatent class models for classification
An overview is provided of recent developments in the use of latent class (LC) and other types of %nite mixture models for classi%cation purposes. Several extensions of existing models are presented. Two basic types of LC models for classi%cation are de%ned: supervised and unsupervised structures. Their most important special cases are presented and illustrated with an empirical example. c © 20...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ETS Research Report Series
سال: 1982
ISSN: 2330-8516
DOI: 10.1002/j.2333-8504.1982.tb01326.x