Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing-Reference-Cited by-同舟云学术

Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing

Published:2014-09-19 Issue:2 Volume:80 Page:535-559
ISSN:0033-3123
Container-title:Psychometrika
language:en
Short-container-title:Psychometrika

Author:

Cai Li

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Link

http://link.springer.com/content/pdf/10.1007/s11336-014-9411-3.pdf

Reference45 articles.

1. Bock, R. D., Gibbons, R., & Muraki, E. (1988). Full-information item factor analysis. Applied Psychological Measurement, 12, 261–280.

2. Cai, L. (2010a). High-dimensional exploratory item factor analysis by a Metropolis–Hastings Robbins–Monro algorithm. Psychometrika, 75, 33–57.

3. Cai, L. (2010b). A two-tier full-information item factor analysis model with applications. Psychometrika, 75, 581–612.

4. Cai, L. (2013). flexMIRT Version 2.0: Flexible multilevel item analysis and test scoring (Computer software). Chapel Hill, NC: Vector Psychometric Group LLC.

5. Cai, L., Thissen, D., & du Toit, S. H. C. (2011). IRTPRO: Flexible, multidimensional, multiple categorical IRT modeling (Computer software). Chicago, IL: Scientific Software International.

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