Multilevel multidimensional item response model with a multilevel latent covariate-Reference-Cited by-同舟云学术

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Multilevel multidimensional item response model with a multilevel latent covariate

Published:2015-03-28 Issue:3 Volume:68 Page:410-433
ISSN:0007-1102
Container-title:British Journal of Mathematical and Statistical Psychology
language:en
Short-container-title:Br J Math Stat Psychol

Author:

Cho Sun-Joo¹,Bottge Brian²

Affiliation:

1. Vanderbilt University; Nashville Tennessee USA

2. University of Kentucky; Lexington Kentucky USA

Funder

US Department of Education, Institute of Education Sciences

Publisher

Wiley

Subject

General Psychology,Arts and Humanities (miscellaneous),General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/bmsp.12051/fullpdf

Reference42 articles.

1. Statistical modelling issues in school effectiveness studies (with discussion);Aitkin;Journal of the Royal Statistical Society, Series A,1986

2. Structural modeling of measurement error in generalized linear models with Rasch measures as covariate;Battauz;Psychometrika,2011

3. MCMC estimation of multidimensional IRT models;Béguin;Psychometrika,2001

4. Biased assessment of program impact due to psychometric artifacts;Bejar;Psychological Bulletin,1980

5. Effects of blended instructional models on math performance;Bottge;Exceptional Children,2014

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1. Bayesian multilevel multidimensional item response modeling approach for multiple latent variables in a hierarchical structure;Communications in Statistics - Simulation and Computation;2021-05-09

2. Multilevel Item Response Model with Heterogeneous Within-Cluster Variances;The Journal of Experimental Education;2020-12-18

3. More stable estimation of the STARTS model: A Bayesian approach using Markov chain Monte Carlo techniques.;Psychological Methods;2018-09

4. A general Bayesian multilevel multidimensional IRT model for locally dependent data;British Journal of Mathematical and Statistical Psychology;2018-06-07

5. Integrating Covariates into Social Relations Models: A Plausible Values Approach for Handling Measurement Error in Perceiver and Target Effects;Multivariate Behavioral Research;2018-01-02

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