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| Autor/in | Han, Kyung T. |
|---|---|
| Titel | Fixing the c Parameter in the Three-Parameter Logistic Model |
| Quelle | In: Practical Assessment, Research & Evaluation, 17 (2012) 1, (24 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1531-7714 |
| Schlagwörter | Statistical Analysis; Models; Multiple Choice Tests; Guessing (Tests); Problem Solving; Educational Testing; Goodness of Fit; Error of Measurement; Computation; Item Response Theory; Accuracy; Test Items; Difficulty Level |
| Abstract | For several decades, the "three-parameter logistic model" (3PLM) has been the dominant choice for practitioners in the field of educational measurement for modeling examinees' response data from multiple-choice (MC) items. Past studies, however, have pointed out that the c-parameter of 3PLM should not be interpreted as a guessing parameter. This study found logical, empirical evidence showing that neither the "a-", "b-", or "c-" parameters of 3PLM can accurately reflect the discrimination, difficulty, and guessing properties of an item, respectively. This study reconceptualized the problem-solving and guessing processes with a modification of the 3PLM that eliminates ambiguity in modeling the guessing process. A series of studies using various real and simulated data demonstrated that the suggested model, in which the c-parameters were fixed at a computed probability for successful random guessing (i.e., c = 1 / k with k being the number of options), could provide a more feasible, stable, and accurate item estimation solution without sacrificing the model fit compared with a typical 3PLM. (Contains 15 figures, 4 tables and 1 footnote.) (As Provided). |
| Anmerkungen | Dr. Lawrence M. Rudner. e-mail: editor@pareonline.net; Web site: http://pareonline.net |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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