Descriptor
| Algorithms | 1 |
| Bayesian Statistics | 1 |
| Equations (Mathematics) | 1 |
| Estimation (Mathematics) | 1 |
| Factor Analysis | 1 |
| Guessing (Tests) | 1 |
| Maximum Likelihood Statistics | 1 |
| Statistical Significance | 1 |
| Test Items | 1 |
Source
| Applied Psychological… | 1 |
Author
| Bock, R. Darrell | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedBock, R. Darrell; And Others – Applied Psychological Measurement, 1988
A method of item factor analysis is described, which is based on Thurstone's multiple-factor model and implemented by marginal maximum likelihood estimation and the EM algorithm. Also assessed are the statistical significance of successive factors added to the model, provisions for guessing and omitted items, and Bayes constraints. (TJH)
Descriptors: Algorithms, Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics)
