Browsing by Author "Thissen, David"
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Item An item response theory for personality and attitude scales: Item analysis using restricted factor analysis(1983) Thissen, David; Steinberg, Lynne; Pyszczynski, Thomas; Greenberg, JeffThis paper describes the applicability of item response theory to attitude scale development and provides an illustration derived from a study of the propensity toward jealousy in romantic relationships. The item analysis model used is identical to the factor analysis model, so factor analytic criteria are used to evaluate the scale. These criteria may be used to decide whether the scale may be scored as a measure of a single variable and whether a simple sum or a weighted sum of the item responses serves as an optimal test score. Estimates of the reliability of the scale based on the item response model are also described.Item Item response theory for scores on tests including polytomous items with ordered responses(1995) Thissen, David; Pommerich, Mary; Billeaud, Kathleen; Williams, Valerie S. L.Item response theory (IRT) provides procedures for scoring tests including any combination of rated constructed-response and keyed multiple-choice items, in that each response pattern is associated with some modal or expected a posteriori estimate of trait level. However, various considerations that frequently arise in large-scale testing make response-pattern scoring an undesirable solution. Methods are described based on IRT that provide scaled scores, or estimates of trait level, for each summed score for rated responses, or for combinations of rated responses and multiple-choice items. These methods may be used to combine the useful scale properties of IR’r-based scores with the practical virtues of a scale based on a summed score for each examinee. Index terms: graded response model, item response theory, ordered responses, polytomous models, scaled scores.Item On the robustness of a class of naive estimators(1979) Wainer, Howard; Thissen, DavidA class of naive estimators of correlation was tested for robustness, accuracy, and efficiency against Pearson’s r. Tukey’s r., and Spearman’s ro. It was found that this class of estimators seems in some respects to be superior being less affected by outliers, reasonably efficient, and frequently more easily calculated. The definition and details of the use of these naive estimators are the subject of this paper.