Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach by P. de Boeck and M. Wilson and Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models by A. Skrondal and S. Rabe-Hesketh

Psychometrika ◽  
2006 ◽  
Vol 71 (2) ◽  
pp. 415-418 ◽  
Author(s):  
Jay Verkuilen
Keyword(s):  
Item Response ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Latent Variable Modeling ◽  
Response Models ◽  
Item Response Models ◽  
Nonlinear Approach ◽  
Linear And Nonlinear ◽  
Explanatory Item Response Models

Stochastic Approximation Methods for Latent Regression Item Response Models

2010 ◽  
Vol 35 (2) ◽  
pp. 174-193 ◽  
Author(s):  
Matthias von Davier ◽  
Sandip Sinharay
Keyword(s):  
Item Response ◽  
Stochastic Approximation ◽  
Latent Variable ◽  
Reading Assessment ◽  
Mathematics Assessment ◽  
National Assessment ◽  
Variable Model ◽  
Response Models ◽  
Item Response Models ◽  
Latent Regression

This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response theory (IRT) to a latent variable model with covariates serving as predictors of the conditional distribution of ability. Applications to estimating latent regression models for National Assessment of Educational Progress (NAEP) data from the 2000 Grade 4 mathematics assessment and the Grade 8 reading assessment from 2002 are presented and results of the proposed method are compared to results obtained using current operational procedures.

Explanatory Item Response Models

2016 ◽  
pp. 247-266 ◽  
Author(s):  
Paul De Boeck ◽  
Sun-Joo Cho ◽  
Mark Wilson
Keyword(s):  
Item Response ◽  
Response Models ◽  
Item Response Models ◽  
Explanatory Item Response Models

scholarly journals Estimation of Latent Variable Scores with Multiple Group Item Response Models: Implications for Integrative Data Analysis

2020 ◽  
Vol 27 (6) ◽  
pp. 931-941
Author(s):  
Pega Davoudzadeh ◽  
Kevin J. Grimm ◽  
Keith F. Widaman ◽  
Sarah L. Desmarais ◽  
Stephen Tueller ◽  
...  
Keyword(s):  
Data Analysis ◽  
Item Response ◽  
Latent Variable ◽  
Response Models ◽  
Integrative Data Analysis ◽  
Item Response Models ◽  
Multiple Group
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