A Comparison of Methods for Detecting Differential Distractor Functioning

Autor/in	Koon, Sharon
Titel	A Comparison of Methods for Detecting Differential Distractor Functioning
Quelle	(2010), (93 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, The Florida State University
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-1240-9894-4
Schlagwörter	Hochschulschrift; Dissertation; Test Bias; Test Items; Reference Groups; Lunch Programs; Computer Software; Regression (Statistics); Comparative Analysis; Effect Size; Educational Testing; Evaluation Methods; Measurement + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Testkritik; Test content; Testaufgabe; Reference group; Bezugsgruppe; Mittagessen; Regression; Regressionsanalyse; Messverfahren
Abstract	This study examined the effectiveness of the odds-ratio method (Penfield, 2008) and the multinomial logistic regression method (Kato, Moen, & Thurlow, 2009) for measuring differential distractor functioning (DDF) effects in comparison to the standardized distractor analysis approach (Schmitt & Bleistein, 1987). Students classified as participating in free and reduced-priced lunch programs served as the focal group and students not participating in these programs served as the reference group. The comparisons were conducted in such a way as to provide insight into two research questions: (1) whether the magnitude and pattern of the DDF effect is constant across all methods, and (2) whether the pattern of DDF effects support differential item functioning (DIF) findings. Measures of effect size are reported. In addition, the relationship between item characteristics and DIF and DDF effects were explored for patterns. Comparisons of three methods for detecting DDF were conducted in this study. The standardized distractor analysis and odds-ratio methods for detecting DDF were found to have very highly related results, with regard to both the magnitude and pattern of DDF effects. The multinomial logistic regression DDF results also were highly related to the standardized distractor analysis approach, but yielded slightly different patterns across distractors. The odds ratio and multinomial logistic regression methods are easily implemented with available software, such as the SPSS software package used in this study, unlike the standardized distractor analysis method which must be programmed. Despite these and the other discussed differences, all three methods present a viable option for use improving test items included in statewide assessment programs. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Update	2017/4/10