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Impact of Gender and Linguistic Back...
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Ahmed, Zahya Fawzi.
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Impact of Gender and Linguistic Background on English Language Arts Test: Differential Item Functioning.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Impact of Gender and Linguistic Background on English Language Arts Test: Differential Item Functioning./
作者:
Ahmed, Zahya Fawzi.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
112 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
Contained By:
Dissertations Abstracts International81-04A.
標題:
Educational tests & measurements. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22582927
ISBN:
9781088335864
Impact of Gender and Linguistic Background on English Language Arts Test: Differential Item Functioning.
Ahmed, Zahya Fawzi.
Impact of Gender and Linguistic Background on English Language Arts Test: Differential Item Functioning.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 112 p.
Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
Thesis (Ph.D.)--Middle Tennessee State University, 2019.
This item must not be sold to any third party vendors.
The purpose of this study was to investigate the impact of gender and ELL status in students' performance, and to compare the consistency of the results of the differential item functioning (DIF) determining from applying Mantel-Haenszel (MH) procedure and the DIF results determining from applying item response theory (IRT)-likelihood ratio statistics. In literature, DIF has been applied as a statistical tool to investigate bias items against subgroups in a particular population and to evaluate the fairness and validity of the educational and/or psychological assessments. Gender and different linguistic backgrounds are the most studied variables in DIF literature. A version of an English language art test was examined for evidence of DIF based on gender difference and different linguistic backgrounds (ELL vs. non-ELL). DIF analyses were implemented through six sets: (1) gender differences (male vs. female), (2) ELL status (non-ELL students vs. ELL students), (3) gender within non-ELL group (male non-ELL vs. female non-ELL), (4) gender within ELL group (male ELL vs. female ELL), male cross linguistic background groups (male non-ELL vs. male ELL), and female cross linguistic background groups (female non-ELL vs. female ELL). The sample of this study consisted of students from 7th (N = 12,658) grade from 11 states who took the standardized English Language Arts (ELA) test based on common core state standards (CCSS) at the beginning of the 2014-2015 academic year. Data were analyzed using classical test theory (CTT) and IRT to detect DIF.The results revealed one DIF item when the MH procedure was applied. On the other hand, IRT-likelihood ratio flagged 4 items out of 34 test items. The results from both detection methods were inconsistent. Implications of these analyses were discussed in accordance with the previous findings for providing linguistically diverse students in regard to their gender with effective literacy programs to meet their academic needs.
ISBN: 9781088335864Subjects--Topical Terms:
3168483
Educational tests & measurements.
Impact of Gender and Linguistic Background on English Language Arts Test: Differential Item Functioning.
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The purpose of this study was to investigate the impact of gender and ELL status in students' performance, and to compare the consistency of the results of the differential item functioning (DIF) determining from applying Mantel-Haenszel (MH) procedure and the DIF results determining from applying item response theory (IRT)-likelihood ratio statistics. In literature, DIF has been applied as a statistical tool to investigate bias items against subgroups in a particular population and to evaluate the fairness and validity of the educational and/or psychological assessments. Gender and different linguistic backgrounds are the most studied variables in DIF literature. A version of an English language art test was examined for evidence of DIF based on gender difference and different linguistic backgrounds (ELL vs. non-ELL). DIF analyses were implemented through six sets: (1) gender differences (male vs. female), (2) ELL status (non-ELL students vs. ELL students), (3) gender within non-ELL group (male non-ELL vs. female non-ELL), (4) gender within ELL group (male ELL vs. female ELL), male cross linguistic background groups (male non-ELL vs. male ELL), and female cross linguistic background groups (female non-ELL vs. female ELL). The sample of this study consisted of students from 7th (N = 12,658) grade from 11 states who took the standardized English Language Arts (ELA) test based on common core state standards (CCSS) at the beginning of the 2014-2015 academic year. Data were analyzed using classical test theory (CTT) and IRT to detect DIF.The results revealed one DIF item when the MH procedure was applied. On the other hand, IRT-likelihood ratio flagged 4 items out of 34 test items. The results from both detection methods were inconsistent. Implications of these analyses were discussed in accordance with the previous findings for providing linguistically diverse students in regard to their gender with effective literacy programs to meet their academic needs.
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