NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Hansen, Mark; Cai, Li; Monroe, Scott; Li, Zhen – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
It is a well-known problem in testing the fit of models to multinomial data that the full underlying contingency table will inevitably be sparse for tests of reasonable length and for realistic sample sizes. Under such conditions, full-information test statistics such as Pearson's X[superscript 2] and the likelihood ratio statistic G[superscript…
Descriptors: Goodness of Fit, Item Response Theory, Classification, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hansen, Mark; Cai, Li; Monroe, Scott; Li, Zhen – Grantee Submission, 2016
Despite the growing popularity of diagnostic classification models (e.g., Rupp, Templin, & Henson, 2010) in educational and psychological measurement, methods for testing their absolute goodness-of-fit to real data remain relatively underdeveloped. For tests of reasonable length and for realistic sample size, full-information test statistics…
Descriptors: Goodness of Fit, Item Response Theory, Classification, Maximum Likelihood Statistics
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2013
TIMSS (Trends in International Mathematics and Science Study) is an international assessment of mathematics and science at the fourth and eighth grades that has been conducted every four years since 1995, with the most recent assessment in 2011. PIRLS (Progress in International Reading Literacy Study) is an international assessment of reading…
Descriptors: Student Evaluation, Mathematics Achievement, Science Achievement, Grade 4