Descriptor
| Statistical Analysis | 2 |
| Test Reliability | 2 |
| Testing Problems | 2 |
| Cutting Scores | 1 |
| Equated Scores | 1 |
| Generalization | 1 |
| Latent Trait Theory | 1 |
| Maximum Likelihood Statistics | 1 |
| Test Theory | 1 |
| Theories | 1 |
Source
| Applied Psychological… | 2 |
Publication Type
| Journal Articles | 2 |
| Collected Works - Serials | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedBrennan, Robert L.; Lockwood, Robert E. – Applied Psychological Measurement, 1980
Generalizability theory is used to characterize and quantify expected variance in cutting scores and to compare the Nedelsky and Angoff procedures for establishing a cutting score. Results suggest that the restricted nature of the Nedelsky (inferred) probability scale may limit its applicability in certain contexts. (Author/BW)
Descriptors: Cutting Scores, Generalization, Statistical Analysis, Test Reliability
Peer reviewedWeiss, David J., Ed. – Applied Psychological Measurement, 1987
Issues concerning equating test scores are discussed in an introduction, four papers, and two commentaries. Equating methods research, sampling errors, linear equating, population differences, sources of equating errors, and a circular equating paradigm are considered. (SLD)
Descriptors: Equated Scores, Latent Trait Theory, Maximum Likelihood Statistics, Statistical Analysis
