Improving the prediction of differential item functioning : a comparison of the use of an effect size for logistic regression DIF and Mantel-Haenszel DIF methods /

Bibliographic Details
Main Author: Duncan, Susan Cromwell, 1972-
Other Authors: Willson, Victor L. (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Tex.] : [Texas A&M University], [2007]
Subjects:
Online Access:Link to OAK Trust copy

MARC

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035 |a (OCoLC)191823337 
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099 |a 2006  |a Dissertation 1969.1/5876 
100 1 |a Duncan, Susan Cromwell,  |d 1972- 
245 1 0 |a Improving the prediction of differential item functioning :  |b a comparison of the use of an effect size for logistic regression DIF and Mantel-Haenszel DIF methods /  |c by Susan Cromwell Duncan. 
264 1 |a [College Station, Tex.] :  |b [Texas A&M University],  |c [2007] 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "Major Subject: Educational Psychology" 
500 |a Title from author supplied metadata (automated record created on Nov. 2, 2007.) 
500 |a Vita. 
500 |a Abstract. 
502 |b Ph. D.  |c Texas A&M University  |d 2006. 
504 |a Includes bibliographical references. 
516 |a Text (Dissertation). 
520 3 |a Psychometricians and test developers use DIF analysis to determine if there is possible bias in a given test item. This study examines the conditions under which two predominant methods for determining differential item function compare with each other in item bias detection using an effect size statistic as the basis for comparison. The main focus of the present research was to test whether or not incorporating an effect size for LR DIF will more accurately detect DIF and to compare the utility of an effect size index across MH DIF and LR DIF methods. A simulation study was used to compare the accuracy of MH DIF and LR DIF methods using a p value or supplemented with an effect size. Effect sizes were found to increase the accuracy of DIF and the possibility of the detection of DIF across varying ability distributions, population distributions, and sample size combinations. Varying ability distributions and sample size combinations affected the detection of DIF, while population distributions did not seem to affect the detection of DIF. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: World Wide Web access and Adobe Acrobat Reader. 
500 |a Electronic resource. 
650 4 |a Major educational psychology. 
653 |a Item Bias 
653 |a DIF 
700 1 |a Willson, Victor L.,  |e thesis advisor. 
856 4 0 |u http://hdl.handle.net/1969.1/5876  |z Link to OAK Trust copy  |t 0 
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952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |d Available Online  |t 0  |e 2006 Dissertation 1969.1/5876  |h Other scheme 
998 f f |a 2006 Dissertation 1969.1/5876  |t 0  |l Available Online