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| Autor/inn/en | Druva-Roush, Cynthia Ann; und weitere |
|---|---|
| Titel | A Comparison of Decision Theoretic Approaches to Adjusting Cut Scores. |
| Quelle | (1994), (25 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Academic Achievement; Comparative Analysis; Cutting Scores; Decision Making; Discriminant Analysis; Grades (Scholastic); Higher Education; Prediction; Psychometrics; Regression (Statistics); Scoring; Statistical Studies; Student Placement; Validity |
| Abstract | Methods of adjusting cut scores used in placement decisions are examined empirically. Admission and performance variables are used to study alternate methods of adjusting cut scores for placement in standard and accelerated rhetoric courses in a large university setting, with the predicted variable being success or failure as measured by end-of-semester course grades. Data from 4,045 freshmen entering a university in the fall semesters of 1991 and 1992 were collected (1,956 for setting cut scores, and 2,089 for validation). A comparison of predicted placement errors using cross validation groups is made between three decision theoretic approaches to setting cut scores: (1) contingency table analysis; (2) discriminant analysis; and (3) logistic regression. The effectiveness of each method is evaluated psychometrically, as is the ease of using each method in a practical setting. Two-equation discriminant analysis appears to be superior to logistic regression with more than one predictor variable, and it outperforms contingency table analysis. When a single index method is used, logistic regression and contingency table analysis are quite similar, and the contingency table analysis seems to be much more interpretable by nonstatisticians. (Contains 16 references, 6 tables, and 5 figures.) (SLD) |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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