Literaturnachweis - Detailanzeige
| Autor/inn/en | Haladyna, Tom; Roid, Gale |
|---|---|
| Titel | A Comparison of Decision-Making Methods for Criterion-Referenced Tests. |
| Quelle | (1980), (34 Seiten) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Monographie |
| Schlagwörter | Bayesian Statistics; Classification; Comparative Analysis; Criterion Referenced Tests; Cutting Scores; Decision Making; Elementary Education; Higher Education; Latent Trait Theory; Mastery Tests; Mathematical Models; Reliability; Test Length; Test Results; Test Theory |
| Abstract | The problems associated with misclassifying students when pass-fail decisions are based on test scores are discussed. One protection against misclassification is to set a confidence interval around the cutting score. Those whose scores fall above the interval are passed; those whose scores fall below the interval are failed; and those whose scores fall within the interval are retained for brief remedial instruction. Six methods which may be used to set the confidence level include: (1) Novick and Jackson's Bayesian method, which uses a computer program for statistical analysis, Computer-Assisted Data Analysis; (2) Millman's binomial method; (3) Shaycroft's variation of the binomial method; (4) Lord and Novick's classical approach; (5) Cronbach et. al.'s generalizability theory; and (6) Rasch's latent trait model. These six methods were empirically compared using criterion-referenced test score data from 80-item and 100-item tests of dental anatomy, as well as 68-item elementary school achievement tests. The interaction of the methods with passing standards and with test length was also investigated. While the results indicated promise for Bayesian and item-response (Rasch) theories, no single procedure proved to be more consistent in minimizing classification errors. (Author/GDC) |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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