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1

Penfield, Randall D. "DIFAS: Differential Item Functioning Analysis System." Applied Psychological Measurement 29, no. 2 (2005): 150–51. http://dx.doi.org/10.1177/0146621603260686.

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Wyse, Adam E., and Raymond Mapuranga. "Differential Item Functioning Analysis Using Rasch Item Information Functions." International Journal of Testing 9, no. 4 (2009): 333–57. http://dx.doi.org/10.1080/15305050903352040.

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3

Brodersen, J., and H. Thorsen. "PCN64 DIFFERENTIAL ITEM FUNCTIONING USING RASCH ANALYSIS." Value in Health 9, no. 6 (2006): A295. http://dx.doi.org/10.1016/s1098-3015(10)63493-6.

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4

Cohen, Allan S., and Daniel M. Bolt. "A Mixture Model Analysis of Differential Item Functioning." Journal of Educational Measurement 42, no. 2 (2005): 133–48. http://dx.doi.org/10.1111/j.1745-3984.2005.00007.

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5

Hao, Shiqi. "Two SAS Macros for Differential Item Functioning Analysis." Applied Psychological Measurement 38, no. 1 (2013): 81–82. http://dx.doi.org/10.1177/0146621613493164.

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6

Guilera, Georgina, Juana Gómez-Benito, and M. Dolores Hidalgo. "Citation analysis in research on differential item functioning." Quality & Quantity 44, no. 6 (2009): 1249–55. http://dx.doi.org/10.1007/s11135-009-9274-3.

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7

Swanson, David B., Brian E. Clauser, Susan M. Case, Ronald J. Nungester, and Carol Featherman. "Analysis of Differential Item Functioning (DIF) Using Hierarchical Logistic Regression Models." Journal of Educational and Behavioral Statistics 27, no. 1 (2002): 53–75. http://dx.doi.org/10.3102/10769986027001053.

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Over the past 25 years a range of parametric and nonparametric methods have been developed for analyzing Differential Item Functioning (DIF). These procedures are typically performed for each item individually or for small numbers of related items. Because the analytic procedures focus on individual items, it has been difficult to pool information across items to identify potential sources of DIF analytically. In this article, we outline an approach to DIF analysis using hierarchical logistic regression that makes it possible to combine results of logistic regression analyses across items to i
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8

Walker, Cindy M., Bo Zhang, Kathleen Banks, and Kevin Cappaert. "Establishing Effect Size Guidelines for Interpreting the Results of Differential Bundle Functioning Analyses Using SIBTEST." Educational and Psychological Measurement 72, no. 3 (2011): 415–34. http://dx.doi.org/10.1177/0013164411422250.

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The purpose of this simulation study was to establish general effect size guidelines for interpreting the results of differential bundle functioning (DBF) analyses using simultaneous item bias test (SIBTEST). Three factors were manipulated: number of items in a bundle, test length, and magnitude of uniform differential item functioning (DIF) against the focal group in each item in a bundle. A secondary purpose was to validate the current effect size guidelines for interpreting the results of single-item DIF analyses using SIBTEST. The results of this study clearly demonstrate that ability esti
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9

Wu, Johnny, Kevin M. King, Katie Witkiewitz, Sarah Jensen Racz, and Robert J. McMahon. "Item analysis and differential item functioning of a brief conduct problem screen." Psychological Assessment 24, no. 2 (2012): 444–54. http://dx.doi.org/10.1037/a0025831.

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10

Zwick, Rebecca, and Dorothy T. Thayer. "Evaluating the Magnitude of Differential Item Functioning in Polytomous Items." Journal of Educational and Behavioral Statistics 21, no. 3 (1996): 187–201. http://dx.doi.org/10.3102/10769986021003187.

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Several recent studies have investigated the application of statistical inference procedures to the analysis of differential item functioning (DIF) in polytomous test items that are scored on an ordinal scale. Mantel’s extension of the Mantel-Haenszel test is one of several hypothesis-testing methods for this purpose. The development of descriptive statistics for characterizing DIF in polytomous test items has received less attention. As a step in this direction, two possible standard error formulas for the polytomous DIF index proposed by Dorans and Schmitt were derived. These standard errors
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11

Finch, Holmes, Karen Barton, and Patrick Meyer. "Differential Item Functioning Analysis for Accommodated Versus Nonaccommodated Students." Educational Assessment 14, no. 1 (2009): 38–56. http://dx.doi.org/10.1080/10627190902816264.

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12

박찬호. "Differential Item Functioning Analysis of an EFL Vocabulary Test." English Teaching 65, no. 3 (2010): 23–41. http://dx.doi.org/10.15858/engtea.65.3.201009.23.

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13

Hidalgo, Mª Dolores, Juana Gómez-Benito, and Bruno D. Zumbo. "Binary Logistic Regression Analysis for Detecting Differential Item Functioning." Educational and Psychological Measurement 74, no. 6 (2014): 927–49. http://dx.doi.org/10.1177/0013164414523618.

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14

Budgell, Glen R., Nambury S. Raju, and Douglas A. Quartetti. "Analysis of Differential Item Functioning in Translated Assessment Instruments." Applied Psychological Measurement 19, no. 4 (1995): 309–21. http://dx.doi.org/10.1177/014662169501900401.

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15

Crane, Paul K., Laura E. Gibbons, Lance Jolley, and Gerald van Belle. "Differential Item Functioning Analysis With Ordinal Logistic Regression Techniques." Medical Care 44, Suppl 3 (2006): S115—S123. http://dx.doi.org/10.1097/01.mlr.0000245183.28384.ed.

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16

Pires, Jeferson Gervasio, and Carlos Henrique Sancineto da Silva Nunes. "Differential item functioning analysis on a measure of mindfulness (MAP)." Psico 49, no. 2 (2018): 101. http://dx.doi.org/10.15448/1980-8623.2018.2.27229.

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Analysis of the differential item functioning (DIF) is of great importance when developing or validating psychological instruments, since it enables to identify whether there are bias on a given instrument concerning sample characteristics. Considering this importance, in this study, we verified the presence of DIF within items of a new instrument for the measurement of mindfulness (MAP), regarding the sex, age, practice with meditation, and use of alternative medicine of the sample. For this, 788 Brazilian adults, mean age of 26 years (SD=9.59), most women (79%) and single, responded the MAP.
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., Fitriati. "Differential Item Functioning: Item Level Analysis of TIMSS Mathematics Test Items Using Australian and Indonesian Database." Hubs-Asia 18, no. 2 (2014): 127. http://dx.doi.org/10.7454/mssh.v18i2.170.

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Fitriati, Fitriati. "Differential Item Functioning: Item Level Analysis of TIMSS Mathematics Test Items Using Australian and Indonesian Database." Makara Human Behavior Studies in Asia 18, no. 2 (2014): 127. http://dx.doi.org/10.7454/mssh.v18i2.3467.

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19

Fukuhara, Hirotaka, and Akihito Kamata. "A Bifactor Multidimensional Item Response Theory Model for Differential Item Functioning Analysis on Testlet-Based Items." Applied Psychological Measurement 35, no. 8 (2011): 604–22. http://dx.doi.org/10.1177/0146621611428447.

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A differential item functioning (DIF) detection method for testlet-based data was proposed and evaluated in this study. The proposed DIF model is an extension of a bifactor multidimensional item response theory (MIRT) model for testlets. Unlike traditional item response theory (IRT) DIF models, the proposed model takes testlet effects into account, thus estimating DIF magnitude appropriately when a test is composed of testlets. A fully Bayesian estimation method was adopted for parameter estimation. The recovery of parameters was evaluated for the proposed DIF model. Simulation results reveale
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20

Agelink van Rentergem, Joost A., Anne Geeke Lever, and Hilde M. Geurts. "Negatively phrased items of the Autism Spectrum Quotient function differently for groups with and without autism." Autism 23, no. 7 (2019): 1752–64. http://dx.doi.org/10.1177/1362361319828361.

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The Autism Spectrum Quotient is a widely used instrument for the detection of autistic traits. However, the validity of comparisons of Autism Spectrum Quotient scores between groups may be threatened by differential item functioning. Differential item functioning entails a bias in items, where participants with equal values of the latent trait give different answers because of their group membership. In this article, items of the Autism Spectrum Quotient were studied for differential item functioning between different groups within a single sample ( N = 408). Three analyses were conducted. Fir
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21

Chiesi, Francesca, Caterina Primi, Martina Pigliautile, et al. "Is the 15-item Geriatric Depression Scale a Fair Screening Tool? A Differential Item Functioning Analysis Across Gender and Age." Psychological Reports 121, no. 6 (2017): 1167–82. http://dx.doi.org/10.1177/0033294117745561.

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The 15-item version of the Geriatric Depression Scale (GDS-15) is widely employed to assess depression in old people, but it is unclear if there are biases in the total score depending on respondents’ gender and age. In the current study, we investigated the measurement equivalence of the GDS-15 to provide evidence that the test is a fair screening tool when administered to young-old, old-old, and oldest-old men and women. Item Response Theory-based Differential Item Functioning analyses were applied on a large sample of Italian old people. One item exhibited Differential Item Functioning when
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22

Yao, Don. "Gender-related Differential Item Functioning Analysis on an ESL Test." Journal of Language Testing & Assessment 3, no. 1 (2020): 5–19. http://dx.doi.org/10.23977/langta.2020.030102.

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Differential item functioning (DIF) is a technique used to examine whether items function differently across different groups. The DIF analysis helps detect bias in an assessment to ensure the fairness of the assessment. However, most of the previous research has focused on high-stakes assessments. There is a dearth in research that laying emphasis on low-stakes assessments, which is also significant for the test development and validation process. Additionally, gender difference in test performance is always a particular concern for researchers to evaluate whether a test is fair or not. This
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23

Yao, Don. "Gender-related Differential Item Functioning Analysis on an ESL Test." Journal of Language Testing & Assessment 3, no. 1 (2020): 5–19. http://dx.doi.org/10.23977/langta.2020.030102.

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Differential item functioning (DIF) is a technique used to examine whether items function differently across different groups. The DIF analysis helps detect bias in an assessment to ensure the fairness of the assessment. However, most of the previous research has focused on high-stakes assessments. There is a dearth in research that laying emphasis on low-stakes assessments, which is also significant for the test development and validation process. Additionally, gender difference in test performance is always a particular concern for researchers to evaluate whether a test is fair or not. This
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24

ALWI, IDRUS. "SENSITIVITY OF MANTEL HAENSZEL MODEL AND RASCH MODEL AS VIEWED FROM SAMPLE SIZE." Jurnal Evaluasi Pendidikan 2, no. 1 (2017): 18. http://dx.doi.org/10.21009/jep.021.02.

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The aims of this research is to study the sensitivity comparison of Mantel Haenszel and Rasch Model for detection differential item functioning, observed from the sample size. These two differential item functioning (DIF) methods were compared using simulate binary item respon data sets of varying sample size, 200 and 400 examinees were used in the analyses, a detection method of differential item functioning (DIF) based on gender difference. These test conditions were replication 4 times. For both differential item functioning (DIF) detection methods, a test length of 42 items was sufficient
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25

Wetzel, Eunike, and Benedikt Hell. "Gender-Related Differential Item Functioning in Vocational Interest Measurement." Journal of Individual Differences 34, no. 3 (2013): 170–83. http://dx.doi.org/10.1027/1614-0001/a000112.

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Large mean differences are consistently found in the vocational interests of men and women. These differences may be attributable to real differences in the underlying traits. However, they may also depend on the properties of the instrument being used. It is conceivable that, in addition to the intended dimension, items assess a second dimension that differentially influences responses by men and women. This question is addressed in the present study by analyzing a widely used German interest inventory (Allgemeiner Interessen-Struktur-Test, AIST-R) regarding differential item functioning (DIF
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26

Kolbe, Laura, and Terrence D. Jorgensen. "Using restricted factor analysis to select anchor items and detect differential item functioning." Behavior Research Methods 51, no. 1 (2018): 138–51. http://dx.doi.org/10.3758/s13428-018-1151-3.

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27

Scarpati, Stanley E., Craig S. Wells, Christine Lewis, and Stephen Jirka. "Accommodations and Item-Level Analyses Using Mixture Differential Item Functioning Models." Journal of Special Education 45, no. 1 (2009): 54–62. http://dx.doi.org/10.1177/0022466909350224.

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28

Woo, Ada, and Marijana Dragan. "Ensuring Validity of NCLEX® With Differential Item Functioning Analysis." Journal of Nursing Regulation 2, no. 4 (2012): 29–31. http://dx.doi.org/10.1016/s2155-8256(15)30252-0.

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29

Zwick, Rebecca, and Kadriye Ercikan. "Analysis of Differential Item Functioning in the NAEP History Assessment." Journal of Educational Measurement 26, no. 1 (1989): 55–66. http://dx.doi.org/10.1111/j.1745-3984.1989.tb00318.x.

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30

Zwick, Rebecca, and Kadriye Ercikan. "ANALYSIS OF DIFFERENTIAL ITEM FUNCTIONING IN THE NAEP HISTORY ASSESSMENT." ETS Research Report Series 1988, no. 2 (1988): i—30. http://dx.doi.org/10.1002/j.2330-8516.1988.tb00322.x.

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31

Bennett, Randy Elliot, Donald A. Rock, and Inge Novatkoski. "CLUSTERS AS THE UNIT OF ANALYSIS IN DIFFERENTIAL ITEM FUNCTIONING." ETS Research Report Series 1988, no. 2 (1988): i—49. http://dx.doi.org/10.1002/j.2330-8516.1988.tb00326.x.

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32

Strong, David R., Madison Noble, Annie Lei, Genevieve Dunton, Jimi Huh, and Adam Leventhal. "Differential Item Functioning Analysis Of The Physical Activity Enjoyment Scale." Medicine & Science in Sports & Exercise 47 (May 2015): 738. http://dx.doi.org/10.1249/01.mss.0000478744.58572.b0.

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33

Kim, Seock-Ho, and Allan S. Cohen. "IRTDIF: A Computer Program for IRT Differential Item Functioning Analysis." Applied Psychological Measurement 16, no. 2 (1992): 158. http://dx.doi.org/10.1177/014662169201600205.

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34

Shanmugam, S. Kanageswari Suppiah. "Determining Gender Differential Item Functioning for Mathematics in Coeducational School Culture." Malaysian Journal of Learning and Instruction 15, Number 2 (2018): 83–109. http://dx.doi.org/10.32890/mjli2018.15.2.4.

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Purpose - In an attempt to explore item characteristics that behave differently between boys and girls, this comparative study examines gender Differential Item Functioning in a school culture that is noted to be ‘thriving’ mathematically. Methodology - Some 24 grade eight mathematics items from TIMSS 2003 and TIMSS 2007 released items, with equal number of computation and word problem items were administered on 460 boys and 445 girls studying in Grade Eight from three secondary Chinese-medium coeducational schools. Word problem items were defined as items set in a real-world context. Content
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35

Aksu Dunya, Beyza, Clark McKown, and Everett Smith. "Psychometric Properties and Differential Item Functioning of a Web-Based Assessment of Children’s Emotion Recognition Skill." Journal of Psychoeducational Assessment 38, no. 5 (2019): 627–41. http://dx.doi.org/10.1177/0734282919881919.

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Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples of children. The first sample included 3,224 children and the second sample included 4,419 children. Data were calibrated using Rasch dichotomous model. Differential item and test functioning were also evaluated across gender and ethnicity. Across both
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36

Akiyama, Takashi, and Hideki Toyoda. "Bayesian Modeling for a Uniform Differential Item Functioning Analysis Procedure in Item Response Theory:." Japanese Journal of Educational Psychology 68, no. 3 (2020): 250–65. http://dx.doi.org/10.5926/jjep.68.250.

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37

Soares, Tufi M., Flávio B. Gonçalves, and Dani Gamerman. "An Integrated Bayesian Model for DIF Analysis." Journal of Educational and Behavioral Statistics 34, no. 3 (2009): 348–77. http://dx.doi.org/10.3102/1076998609332752.

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In this article, an integrated bayesian model for differential item functioning (DIF) analysis is proposed. The model is integrated in the sense of modeling the responses along with the DIF analysis. This approach allows DIF detection and explanation in a simultaneous setup. Previous empirical studies and/or subjective beliefs about the item parameters, including differential functioning behavior, may be conveniently expressed in terms of prior distributions. Values of indicator variables are estimated in the model, indicating which items have DIF and which do not; as a result, the data analys
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38

Effiom, Anthony Pius. "Test fairness and assessment of differential item functioning of mathematics achievement test for senior secondary students in Cross River state, Nigeria using item response theory." Global Journal of Educational Research 20, no. 1 (2021): 55–62. http://dx.doi.org/10.4314/gjedr.v20i1.6.

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This study used Item Response Theory approach to assess Differential Item Functioning (DIF) and detect item bias in Mathematics Achievement Test (MAT). The MAT was administered to 1,751 SS2 students in public secondary schools in Cross River State. Instrumentation research design was used to develop and validate a 50-item instrument. Data were analysed using the maximum likelihood estimation technique of BILOG-MG V3 software. The result of the study revealed that 6% of the total items exhibited differential item functioning between the male and female students. Based on the analysis, the study
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39

Fidalgo, Angel M., and Jaqueline M. Madeira. "Generalized Mantel-Haenszel Methods for Differential Item Functioning Detection." Educational and Psychological Measurement 68, no. 6 (2008): 940–58. http://dx.doi.org/10.1177/0013164408315265.

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Mantel-Haenszel methods comprise a highly flexible methodology for assessing the degree of association between two categorical variables, whether they are nominal or ordinal, while controlling for other variables. The versatility of Mantel-Haenszel analytical approaches has made them very popular in the assessment of the differential functioning of both dichotomous and polytomous items. Up to now, researchers have limited the use of Mantel-Haenszel statistics to analyzing contingency tables of dimensions 2 × 2 (by means of the Mantel-Haenszel chi-square statistic) and of dimensions of 2 × C (b
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40

Ikonen, J., S. Hulkkonen, J. Ryhänen, A. Häkkinen, J. Karppinen, and JP Repo. "The structural validity of the Finnish version of the Disabilities of the Arm, Shoulder and Hand: A Rasch model analysis." Hand Therapy 25, no. 1 (2020): 3–10. http://dx.doi.org/10.1177/1758998320907116.

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Introduction The construct validity of the Disabilities of the Arm, Shoulder and Hand questionnaire (DASH) has previously been questioned. The purpose of this study was to evaluate the measurement properties of the Finnish version of the DASH for assessing disability in patients with hand complaints using Rasch Measurement Theory. Methods A cohort of 193 patients with typical hand and wrist complaints were recruited at a surgery outpatient clinic. The DASH scores were analysed using the Rasch model for differential item functioning, unidimensionality, fit statistics, item residual correlation,
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41

Innabi, Hanan, and Hamzeh Dodeen. "Content Analysis of Gender-related Differential Item Functioning TIMSS Items in Mathematics in Jordan." School Science and Mathematics 106, no. 8 (2006): 328–37. http://dx.doi.org/10.1111/j.1949-8594.2006.tb17753.x.

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42

Lopez, Antonella, Alessandro O. Caffò, Luigi Tinella, Albert Postma, and Andrea Bosco. "Studying Individual Differences in Spatial Cognition Through Differential Item Functioning Analysis." Brain Sciences 10, no. 11 (2020): 774. http://dx.doi.org/10.3390/brainsci10110774.

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Background: In the field of spatial cognition, the study of individual differences represents a typical research topic. Gender and age have been prominently investigated. A promising statistical technique used to identify the different responses to items in relation to different group memberships is the Differential Item Functioning Analysis (DIF). The aim of the present study was to investigate the DIF of the Landmark positioning on a Map (LPM) task, across age groups (young and elderly) and gender, in a sample of 400 healthy human participants. Methods: LPM is a hometown map completion test
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Doğan, Nuri, Ronald K. Hambleton, Meltem Yurtcu, and Sinan Yavuz. "The comparison of differential item functioning predicted through experts and statistical techniques." Cypriot Journal of Educational Sciences 13, no. 2 (2018): 137–48. http://dx.doi.org/10.18844/cjes.v13i2.2427.

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Validity is one of the psychometric properties of the achievement tests. To determine the validity, one of the examinations is item bias studies, which are based on Differential Item Functioning (DIF) analyses and field experts’ opinion. In this study, field experts were asked to estimate the DIF levels of the items to compare the estimations obtained from different statistical techniques. Firstly, the experts were asked to examine the questions and make the DIF level estimations according to the gender variable for the DIF estimation, and the agreement of the experts was examined. Secondly, D
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44

Lee, Woo-Yeol, Sun-Joo Cho, Rankin W. McGugin, Ana Beth Van Gulick, and Isabel Gauthier. "Differential item functioning analysis of the Vanderbilt Expertise Test for cars." Journal of Vision 15, no. 13 (2015): 23. http://dx.doi.org/10.1167/15.13.23.

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45

Quito Pedrajita, Jose. "Using Contingency Table Approaches in Differential Item Functioning Analysis: A Comparison." Education Journal 4, no. 4 (2015): 139. http://dx.doi.org/10.11648/j.edu.20150404.11.

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46

Smith, Adam B., Kim Cocks, David Parry, and Matthew Taylor. "A Differential Item Functioning Analysis of the EQ-5D in Cancer." Value in Health 19, no. 8 (2016): 1063–67. http://dx.doi.org/10.1016/j.jval.2016.06.005.

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Allalouf, Avi, and Andrea Abramzon. "Constructing Better Second Language Assessments Based on Differential Item Functioning Analysis." Language Assessment Quarterly 5, no. 2 (2008): 120–41. http://dx.doi.org/10.1080/15434300801934710.

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48

DODEEN, HAMZEH, and GEORGE A. JOHANSON. "An Analysis of Sex-related Differential Item Functioning in Attitude Assessment." Assessment & Evaluation in Higher Education 28, no. 2 (2003): 129–34. http://dx.doi.org/10.1080/02602930301667.

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49

Camilli, Gregory. "A Conceptual Analysis of Differential Item Functioning in Terms of a Multidimensional Item Response Model." Applied Psychological Measurement 16, no. 2 (1992): 129–47. http://dx.doi.org/10.1177/014662169201600203.

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50

McCarthy, Denis M., Sarah L. Pedersen, and Elizabeth J. D'Amico. "Analysis of item response and differential item functioning of alcohol expectancies in middle school youths." Psychological Assessment 21, no. 3 (2009): 444–49. http://dx.doi.org/10.1037/a0016319.

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