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| Friedrich, Katherine R. | 1 |
| Hambleton, Ronald K. | 1 |
| Morrison, Elizabeth | 1 |
| Palomares, Ronald S. | 1 |
| Steinheiser, Frederick H., Jr. | 1 |
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| Information Analyses | 4 |
| Journal Articles | 2 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
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Palomares, Ronald S.; Friedrich, Katherine R. – 1991
Various classical approaches to evaluating test bias are reviewed, and their conceptual underpinnings are discussed. Bias is examined as it relates to predictive validity, rather than construct validity. One of the first test bias models was developed by T. A. Cleary (1968). Cleary's work with test bias and regression stimulated others to develop…
Descriptors: Educational History, Evaluation Methods, Literature Reviews, Mathematical Models
Morrison, Elizabeth – Library Research, 1980
Discusses what librarians have written about futures research and examines the application of various methods of such research in librarianship. An extensive bibliography is included. (CHC)
Descriptors: Bibliographies, Futures (of Society), Libraries, Library Research
Peer reviewedAnd Others; Hambleton, Ronald K. – Review of Educational Research, 1978
Topics concerning latent trait theory are addressed: (1) dimensionality of latent space, local independence, and item characteristic curves; (2) models--equations, parameter estimation, testing assumptions, and goodness of fit, (3) applications test developments, item bias, tailored testing and equating; and (4) advantages over classical…
Descriptors: Ability, Bayesian Statistics, Goodness of Fit, Item Analysis
Steinheiser, Frederick H., Jr.; And Others – 1978
Alternative mathematical models for scoring and decision making with criterion referenced tests are described, especially as they concern appropriate test length and methods of establishing statistically valid cutting scores. Several of these approaches are reviewed and compared on formal-analytic and empirical grounds: (1) Block's approach to…
Descriptors: Comparative Analysis, Criterion Referenced Tests, Cutting Scores, Decision Making


