An NCME Instructional Module on Latent DIF Analysis Using Mixture Item Response Models
The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of...
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| Veröffentlicht in: | Educational measurement, issues and practice issues and practice, 2016-03, Vol.35 (1), p.48-61 |
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| container_title | Educational measurement, issues and practice |
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| creator | Cho, Sun-Joo Suh, Youngsuk Lee, Woo-yeol |
| description | The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called latent DIF analysis, is provided and its applications in the literature are surveyed. Then, the methodological issues pertaining to latent DIF analysis are described, including mixture item response models, parameter estimation, and latent DIF detection methods. Finally, recommended steps for latent DIF analysis are illustrated using empirical data. |
| doi_str_mv | 10.1111/emip.12093 |
| format | Article |
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Finally, recommended steps for latent DIF analysis are illustrated using empirical data.</description><subject>Comparative Analysis</subject><subject>Computation</subject><subject>differential item functioning</subject><subject>Employee testing</subject><subject>Evaluation Methods</subject><subject>item response model</subject><subject>List brokers</subject><subject>Measurement errors</subject><subject>mixture model</subject><subject>Research Methodology</subject><subject>Test Bias</subject><issn>0731-1745</issn><issn>1745-3992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kM1Lw0AQxRdRsFYv3oUFb0JqNvuVPZaa1khTRWx6XNJkI1vTpO4m2P73JkZ7dC4D837vMTwArpE7Qu3cq63ejZDnCnwCBogT6mAhvFMwcDlGTnc4BxfWblwXUSb4AMTjEi4mUQDD0tamSWtdlUkBoyprCgWrEs6TWpU1fAincNwqB6stXFpdvsNI7-vGKBjWagtfld1VpVWdUxX2EpzlSWHV1e8eguU0eJs8OvPnWTgZz52UYIQdyggXjLgEC3_NiEgYIh7NPeKuscgzlgmaEJ8IjyKGVE4ywX3MU0xonqU8VXgIbvvcnak-G2Vruaka0_5pJeLc87HADLfUXU-lprLWqFzujN4m5iCRK7veZNeb_OmthW96WBmdHsHgCbWix0Wro17_0oU6_JMkgyh8-ct0eo-2tdofPYn5kIxjTuVqMZM0FqvYY7GM8Te0PIX9</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Cho, Sun-Joo</creator><creator>Suh, Youngsuk</creator><creator>Lee, Woo-yeol</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20160301</creationdate><title>An NCME Instructional Module on Latent DIF Analysis Using Mixture Item Response Models</title><author>Cho, Sun-Joo ; Suh, Youngsuk ; Lee, Woo-yeol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4313-564796404398b649a61425f240b39fd6d95a484925161ef4d97837c345fdc7ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Comparative Analysis</topic><topic>Computation</topic><topic>differential item functioning</topic><topic>Employee testing</topic><topic>Evaluation Methods</topic><topic>item response model</topic><topic>List brokers</topic><topic>Measurement errors</topic><topic>mixture model</topic><topic>Research Methodology</topic><topic>Test Bias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cho, Sun-Joo</creatorcontrib><creatorcontrib>Suh, Youngsuk</creatorcontrib><creatorcontrib>Lee, Woo-yeol</creatorcontrib><collection>Istex</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><jtitle>Educational measurement, issues and practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cho, Sun-Joo</au><au>Suh, Youngsuk</au><au>Lee, Woo-yeol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1093279</ericid><atitle>An NCME Instructional Module on Latent DIF Analysis Using Mixture Item Response Models</atitle><jtitle>Educational measurement, issues and practice</jtitle><addtitle>Educational Measurement: Issues and Practice</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>35</volume><issue>1</issue><spage>48</spage><epage>61</epage><pages>48-61</pages><issn>0731-1745</issn><eissn>1745-3992</eissn><abstract>The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. 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| ispartof | Educational measurement, issues and practice, 2016-03, Vol.35 (1), p.48-61 |
| issn | 0731-1745 1745-3992 |
| language | eng |
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| source | Education Source (EBSCOhost); Wiley Online Library (Online service) |
| subjects | Comparative Analysis Computation differential item functioning Employee testing Evaluation Methods item response model List brokers Measurement errors mixture model Research Methodology Test Bias |
| title | An NCME Instructional Module on Latent DIF Analysis Using Mixture Item Response Models |
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