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Comparing Differential Item Functioning Based on Manifest Groups and Latent Classes
In this study, performance of differential item functioning (DIF) methods was compared under 36 different conditions based on latent classes and manifest groups. In the study, simulation conditions such as DIFcontaining item rate, reference-focal group rate, DIF effect size and overlap ratio of mani...
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Published in: | Educational sciences : theory & practice 2017-12, Vol.17 (6), p.1977-2000 |
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container_end_page | 2000 |
container_issue | 6 |
container_start_page | 1977 |
container_title | Educational sciences : theory & practice |
container_volume | 17 |
creator | Doğan,Nuri Kelecioğlu,Hülya Uyar,Şeyma |
description | In this study, performance of differential item functioning (DIF) methods was compared under 36 different
conditions based on latent classes and manifest groups. In the study, simulation conditions such as DIFcontaining
item rate, reference-focal group rate, DIF effect size and overlap ratio of manifest groups and latent
classes were taken into consideration. To examine DIF, the Mantel–Haenszel (MH) method, which is a method
related to the manifest group variable, was used within the framework of classical test theory and Lord’s
x2 method and item response theory. Latent classes were determined using the model of multilevel mixture
item response theory (MMIRT). Results show that data fit the MMIRT model with larger effect size and with
a higher number of items containing DIF. When DIF effect size was 1.0, the power of MMIRT was found to
be higher and the type I error rate was found to be lower in all overlap and DIF-containing item rates and
reference-focal group conditions. While the rate of overlap was 90%, the power of MH and Lord’s x2 methods
and type I errors were at acceptable levels under all conditions. It was observed that the power of MH and
Lord’s x2 methods decreased as a result of a decrease in the overlap ratio for manifest groups and latent classes. |
doi_str_mv | 10.12738/estp.2017.6.0526 |
format | article |
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conditions based on latent classes and manifest groups. In the study, simulation conditions such as DIFcontaining
item rate, reference-focal group rate, DIF effect size and overlap ratio of manifest groups and latent
classes were taken into consideration. To examine DIF, the Mantel–Haenszel (MH) method, which is a method
related to the manifest group variable, was used within the framework of classical test theory and Lord’s
x2 method and item response theory. Latent classes were determined using the model of multilevel mixture
item response theory (MMIRT). Results show that data fit the MMIRT model with larger effect size and with
a higher number of items containing DIF. When DIF effect size was 1.0, the power of MMIRT was found to
be higher and the type I error rate was found to be lower in all overlap and DIF-containing item rates and
reference-focal group conditions. While the rate of overlap was 90%, the power of MH and Lord’s x2 methods
and type I errors were at acceptable levels under all conditions. It was observed that the power of MH and
Lord’s x2 methods decreased as a result of a decrease in the overlap ratio for manifest groups and latent classes.</description><identifier>ISSN: 2148-7561</identifier><identifier>ISSN: 1303-0485</identifier><identifier>EISSN: 2148-7561</identifier><identifier>DOI: 10.12738/estp.2017.6.0526</identifier><language>eng</language><publisher>Istanbul: Codon Publications</publisher><subject>Asian Americans ; Bias ; Classical test theory ; Eğitim Bilimleri ; Gender ; Individualized Instruction ; Item response theory ; Kişisel Gelişim ; Methods ; Reference Groups ; Studies ; Test Bias ; Test Items ; Test Length ; Variables</subject><ispartof>Educational sciences : theory & practice, 2017-12, Vol.17 (6), p.1977-2000</ispartof><rights>Copyright EDAM (Educational Consultancy Ltd.) Dec 2017</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-5595d1b5c9973203273b92dbee071fdafb5b4d3e1550a5317b204a4aa73135e33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1989488104/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1989488104?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21357,21373,27901,27902,33588,33854,43709,43856,73964,74140</link.rule.ids></links><search><contributor>Zych,Izabela</contributor><creatorcontrib>Doğan,Nuri</creatorcontrib><creatorcontrib>Kelecioğlu,Hülya</creatorcontrib><creatorcontrib>Uyar,Şeyma</creatorcontrib><title>Comparing Differential Item Functioning Based on Manifest Groups and Latent Classes</title><title>Educational sciences : theory & practice</title><description>In this study, performance of differential item functioning (DIF) methods was compared under 36 different
conditions based on latent classes and manifest groups. In the study, simulation conditions such as DIFcontaining
item rate, reference-focal group rate, DIF effect size and overlap ratio of manifest groups and latent
classes were taken into consideration. To examine DIF, the Mantel–Haenszel (MH) method, which is a method
related to the manifest group variable, was used within the framework of classical test theory and Lord’s
x2 method and item response theory. Latent classes were determined using the model of multilevel mixture
item response theory (MMIRT). Results show that data fit the MMIRT model with larger effect size and with
a higher number of items containing DIF. When DIF effect size was 1.0, the power of MMIRT was found to
be higher and the type I error rate was found to be lower in all overlap and DIF-containing item rates and
reference-focal group conditions. While the rate of overlap was 90%, the power of MH and Lord’s x2 methods
and type I errors were at acceptable levels under all conditions. It was observed that the power of MH and
Lord’s x2 methods decreased as a result of a decrease in the overlap ratio for manifest groups and latent classes.</description><subject>Asian Americans</subject><subject>Bias</subject><subject>Classical test theory</subject><subject>Eğitim Bilimleri</subject><subject>Gender</subject><subject>Individualized Instruction</subject><subject>Item response theory</subject><subject>Kişisel Gelişim</subject><subject>Methods</subject><subject>Reference Groups</subject><subject>Studies</subject><subject>Test Bias</subject><subject>Test Items</subject><subject>Test Length</subject><subject>Variables</subject><issn>2148-7561</issn><issn>1303-0485</issn><issn>2148-7561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>M0P</sourceid><recordid>eNpNkLlOxDAQQC0EEsvCB9BZoqBK8PjIUS7Zg5WCKIDachIHeZW1g50U_D0JiwTVjDRvrofQLZAYaMqyBx2GPqYE0jiJiaDJGVpQ4FmUigTO_-WX6CqEAyEJzzldoNfCHXvljf3Aa9O22ms7GNXh_aCPeDvaejDOztVHFXSDncXPypp22oZ33o19wMo2uFTD1IeLToWgwzW6aFUX9M1vXKL37eateIrKl92-WJVRzXg2RELkooFK1HmeMkrY9EaV06bSmqTQNqqtRMUbpkEIogSDtKKEK65UyoAJzdgS3Z3m9t59jtNJ8uBGb6eVEvIs51kGhE_U_YkyjVads52x-g_crzerUibAMjGRcCJr70LwupW9N0flvyQQ-WNZzpblbFkmcrbMvgFCdG_F</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Doğan,Nuri</creator><creator>Kelecioğlu,Hülya</creator><creator>Uyar,Şeyma</creator><general>Codon Publications</general><general>EDAM (Educational Consultancy Ltd.)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IEBAR</scope><scope>0-V</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>EDSIH</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>M2M</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20171201</creationdate><title>Comparing Differential Item Functioning Based on Manifest Groups and Latent Classes</title><author>Doğan,Nuri ; 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conditions based on latent classes and manifest groups. In the study, simulation conditions such as DIFcontaining
item rate, reference-focal group rate, DIF effect size and overlap ratio of manifest groups and latent
classes were taken into consideration. To examine DIF, the Mantel–Haenszel (MH) method, which is a method
related to the manifest group variable, was used within the framework of classical test theory and Lord’s
x2 method and item response theory. Latent classes were determined using the model of multilevel mixture
item response theory (MMIRT). Results show that data fit the MMIRT model with larger effect size and with
a higher number of items containing DIF. When DIF effect size was 1.0, the power of MMIRT was found to
be higher and the type I error rate was found to be lower in all overlap and DIF-containing item rates and
reference-focal group conditions. While the rate of overlap was 90%, the power of MH and Lord’s x2 methods
and type I errors were at acceptable levels under all conditions. It was observed that the power of MH and
Lord’s x2 methods decreased as a result of a decrease in the overlap ratio for manifest groups and latent classes.</abstract><cop>Istanbul</cop><pub>Codon Publications</pub><doi>10.12738/estp.2017.6.0526</doi><tpages>24</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Asian Americans Bias Classical test theory Eğitim Bilimleri Gender Individualized Instruction Item response theory Kişisel Gelişim Methods Reference Groups Studies Test Bias Test Items Test Length Variables |
title | Comparing Differential Item Functioning Based on Manifest Groups and Latent Classes |
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