Assessing Growth in a Diagnostic Classification Model Framework-Reference-Cited by-同舟云学术

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Assessing Growth in a Diagnostic Classification Model Framework

Published:2018-09-27 Issue:4 Volume:83 Page:963-990
ISSN:0033-3123
Container-title:Psychometrika
language:en
Short-container-title:Psychometrika

Author:

Madison Matthew J.,Bradshaw Laine P.

Funder

Institute of Education Sciences

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Link

http://link.springer.com/article/10.1007/s11336-018-9638-5/fulltext.html

Reference51 articles.

1. Andersen, E. B. (1985). Estimating latent correlations between repeated testings. Psychometrika, 50, 3–16.

2. Baum, L. E., & Petrie, T. (1966). Statistical inference for probabilistic functions of finite state Markov chains. The Annals of Mathematical Statistics, 37(6), 1554–1563.

3. Bock, R. D., Muraki, E., & Pfeiffenberger, W. (1988). Item pool maintenance in the presence of item parameter drift. Journal of Educational Measurement, 25, 275–285.

4. Bottge, B. A., Heinrichs, M., Chan, S., & Serlin, R. (2001). Anchoring adolescents’ understanding of math concepts in rich problem solving environments. Remedial and Special Education, 22, 299–314.

5. Bottge, B. A., Heinrichs, M., Chan, S. Y., Mehta, Z. D., & Watson, E. (2003). Effects of video-based and applied problems on the procedural Math skills of average- and low achieving adolescents. Journal of Special Education Technology, 18(2), 5–22.

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