Descriptor
Comparative Analysis | 3 |
Psychometrics | 3 |
Statistical Inference | 3 |
Bayesian Statistics | 2 |
Mathematics Tests | 2 |
Models | 2 |
Networks | 2 |
Scores | 2 |
Subtraction | 2 |
Test Items | 2 |
Analysis of Covariance | 1 |
More ▼ |
Source
ETS Research Report Series | 2 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Woodruff, David – 1993
Two analyses of variance (ANOVA) models for item scores are compared. The first is an items by subject random effect ANOVA. The second is a mixed effects ANOVA with items fixed and subjects random. Comparisons regarding reliability, Cronbach's alpha coefficient, psychometric inference, and inter-item covariance structure are made between the…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Factor Analysis
Yan, Duanli; Almond, Russell; Mislevy, Robert – ETS Research Report Series, 2004
Diagnostic score reports linking assessment outcomes to instructional interventions are one of the most requested features of assessment products. There is a body of interesting work done in the last 20 years including Tatsuoka's rule space method (Tatsuoka, 1983), Haertal and Wiley's binary skills model (Haertal, 1984; Haertal & Wiley, 1993),…
Descriptors: Comparative Analysis, Models, Bayesian Statistics, Statistical Inference
Sinharay, Sandip – ETS Research Report Series, 2004
Assessing fit of psychometric models has always been an issue of enormous interest, but there exists no unanimously agreed upon item fit diagnostic for the models. Bayesian networks, frequently used in educational assessments (see, for example, Mislevy, Almond, Yan, & Steinberg, 2001) primarily for learning about students' knowledge and…
Descriptors: Bayesian Statistics, Networks, Models, Goodness of Fit