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Peter F. Halpin – Society for Research on Educational Effectiveness, 2024
Background: Meta-analyses of educational interventions have consistently documented the importance of methodological factors related to the choice of outcome measures. In particular, when interventions are evaluated using measures developed by researchers involved with the intervention or its evaluation, the effect sizes tend to be larger than…
Descriptors: College Students, College Faculty, STEM Education, Item Response Theory
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Kim, Seock-Ho; Cohen, Allan S. – Applied Psychological Measurement, 1991
The exact and closed-interval area measures for detecting differential item functioning are compared for actual data from 1,000 African-American and 1,000 white college students taking a vocabulary test with items intentionally constructed to favor 1 set of examinees. No real differences in detection of biased items were found. (SLD)
Descriptors: Black Students, College Students, Comparative Testing, Equations (Mathematics)
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Ellis, Barbara B. – Intelligence, 1990
Intellectual abilities were measured for 217 German and 205 American college students using tests (in the subjects' native languages) in which equivalence was established by an item-response theory-based differential-item-functioning (DIF) analysis. Comparisons between groups were not the same before and after removal of DIF items. (SLD)
Descriptors: College Students, Comparative Testing, Cross Cultural Studies, Culture Fair Tests
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Chipman, Susan F.; And Others – American Educational Research Journal, 1991
The effects of problem content on mathematics word problem performance were explored for 128 male and 128 female college students solving problems with masculine, feminine, and neutral (familiar and unfamiliar) cover stories. No effect of sex typing was found, and a small, but highly significant, effect was found for familiarity. (SLD)
Descriptors: College Students, Comparative Testing, Familiarity, Females
Miao, Chang Y.; Kramer, Gene A. – 1992
An approach to detecting differential item functioning using the Rasch model with equivalent-group cross-validation was investigated. College students taking the Dental Admission Test, were divided by gender (936 females and 1,537 males) into 2 different samples. Rasch analyses were performed on both samples. Data were recalibrated after…
Descriptors: College Entrance Examinations, College Students, Comparative Testing, Dental Schools
Pike, Gary – 1989
Responses to American College Test College Outcome Measures Program (ACT-COMP) items by 481 black and 9,237 white students at the University of Tennessee (Knoxville) were analyzed using F. Samejima's graded model to determine the level of differential item functioning (DIF). Students had been tested using Form 8 of the ACT-COMP objective test…
Descriptors: Black Students, College Entrance Examinations, College Students, Comparative Testing
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Legg, Sue M.; Buhr, Dianne C. – Educational Measurement: Issues and Practice, 1992
Three computerized adaptive tests (CATs) in mathematics, reading, and writing were administered to 628 community college students to determine whether examinees of different ethnic, gender, ability, and age groups, and computer experience were differentially affected. Some differences exist; however, they do not preclude use of CATs. (SLD)
Descriptors: Ability, Adaptive Testing, Age Differences, College Students
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Ellis, Barbara B.; And Others – Journal of Cross-Cultural Psychology, 1993
Evaluates the measurement equivalence of an English-language version of the Trier Personality Inventory, using statistical methods based on item response theory to identify items displaying differential item functioning (DIF). Results with 295 U.S. and 213 West German undergraduates and 203 U.S. college students indicate significant agreement in…
Descriptors: College Students, Comparative Testing, Cross Cultural Studies, Cultural Differences
Peer reviewed Peer reviewed
Scheuneman, Janice Dowd; Gerritz, Kalle – Journal of Educational Measurement, 1990
Differential item functioning (DIF) methodology for revealing sources of item difficulty and performance characteristics of different groups was explored. A total of 150 Scholastic Aptitude Test items and 132 Graduate Record Examination general test items were analyzed. DIF was evaluated for males and females and Blacks and Whites. (SLD)
Descriptors: Black Students, College Entrance Examinations, College Students, Comparative Testing