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Grain Size and Parameter Recovery with TIMSS and the General Diagnostic Model
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Skaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
An Evaluation of Information Criteria Use for Correct Cross-Classified Random Effects Model Selection
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Beretvas, S. Natasha; Murphy, Daniel L. – Journal of Experimental Education, 2013
The authors assessed correct model identification rates of Akaike's information criterion (AIC), corrected criterion (AICC), consistent AIC (CAIC), Hannon and Quinn's information criterion (HQIC), and Bayesian information criterion (BIC) for selecting among cross-classified random effects models. Performance of default values for the 5…
Descriptors: Models, Goodness of Fit, Evaluation Criteria, Educational Research
2013 Mathematics Assessment Report Card: Summary Data Tables for National and State Sample Sizes, Participation Rates, and Proportions of SD and ELL Students Identified. [Technical Appendix. NCES 2014-451]
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National Center for Education Statistics, 2013
This document represents one of three appendices associated with "The Nation's Report Card: A First Look--2013 Mathematics and Reading. National Assessment of Educational Progress at Grade 4 and 8. NCES 2014-451." It includes tabular data relating to the mathematics portion of the National Assessment of Education Progress at Grade 4 and…
Descriptors: Tables (Data), Mathematics Achievement, Sample Size, Participation