High-dimensional Full-information Item Factor Analysis-Reference-Cited by-同舟云学术

High-dimensional Full-information Item Factor Analysis

Published:1997 Issue: Volume: Page:163-176
ISSN:0930-0325
Container-title:Lecture Notes in Statistics
language:
Short-container-title:

Author:

Bock R. Darrell,Schilling Steven

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-1842-5_8.pdf

Reference12 articles.

1. Bock, R. D. (1985 reprint).Multivariate statistical methods in behavioral research.Chicago: Scientific Software International.

2. Bock, R. D. (1989). Measurement of human variation: A two-stage model. In R. D. Bock (Ed.)Multilevel analysis of educational data (pp.319–342). New York: Academic Press.

3. Bock, R. D. & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443–445.

4. Bock, R. D., Gibbons, R. D., & Muraki, E. (1988). Full information item factor analysis.Applied Psychological Measurement 12(3), 261–280.

5. Bock, R. D.&Mislevy, R. J. (1982). Adaptive EAP estimation of ability in a microcomputer environment.Applied Psychological Measurement6, 431–444.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Analysis of Aberrant Response and Response Time Data;Frontiers in Psychology;2022-04-25

2. Bibliography;Item Response Theory;2021-07-02

3. Estimating Optimal Weights for Compound Scores: A Multidimensional IRT Approach;Multivariate Behavioral Research;2018-11-02

4. Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation;Psychometrika;2017-11-17

5. Methods for Multilevel Ordinal Data in Prevention Research;Prevention Science;2014-06-18