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Showing 1 to 15 of 17 results Save | Export
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Mehrazmay, Roghayeh; Ghonsooly, Behzad; de la Torre, Jimmy – Applied Measurement in Education, 2021
The present study aims to examine gender differential item functioning (DIF) in the reading comprehension section of a high stakes test using cognitive diagnosis models. Based on the multiple-group generalized deterministic, noisy "and" gate (MG G-DINA) model, the Wald test and likelihood ratio test are used to detect DIF. The flagged…
Descriptors: Test Bias, College Entrance Examinations, Gender Differences, Reading Tests
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Soland, James – Applied Measurement in Education, 2018
This study estimated male-female and Black-White achievement gaps without accounting for low test motivation, then compared those estimates to ones that used several approaches to addressing rapid guessing. Researchers investigated two issues: (1) The differences in rates of rapid guessing across subgroups and (2) How much achievement gap…
Descriptors: Guessing (Tests), Achievement Gap, Student Motivation, Learner Engagement
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Kong, Xiaojing; Davis, Laurie Laughlin; McBride, Yuanyuan; Morrison, Kristin – Applied Measurement in Education, 2018
Item response time data were used in investigating the differences in student test-taking behavior between two device conditions: computer and tablet. Analyses were conducted to address the questions of whether or not the device condition had a differential impact on rapid guessing and solution behaviors (with response time effort used as an…
Descriptors: Educational Technology, Technology Uses in Education, Computers, Handheld Devices
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Yiling Cheng; I-Chien Chen; Barbara Schneider; Mark Reckase; Joseph Krajcik – Applied Measurement in Education, 2024
The current study expands on previous research on gender differences and similarities in science test scores. Using three different approaches -- differential item functioning, differential distractor functioning, and decision tree analysis -- we examine a high school science assessment administered to 3,849 10th-12th graders, of whom 2,021 are…
Descriptors: Gender Differences, Science Achievement, Responses, Testing
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George, Ann Cathrice; Robitzsch, Alexander – Applied Measurement in Education, 2018
This article presents a new perspective on measuring gender differences in the large-scale assessment study Trends in International Science Study (TIMSS). The suggested empirical model is directly based on the theoretical competence model of the domain mathematics and thus includes the interaction between content and cognitive sub-competencies.…
Descriptors: Achievement Tests, Elementary Secondary Education, Mathematics Achievement, Mathematics Tests
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Grover, Raman K.; Ercikan, Kadriye – Applied Measurement in Education, 2017
In gender differential item functioning (DIF) research it is assumed that all members of a gender group have similar item response patterns and therefore generalizations from group level to subgroup and individual levels can be made accurately. However DIF items do not necessarily disadvantage every member of a gender group to the same degree,…
Descriptors: Gender Differences, Test Bias, Socioeconomic Status, Reading Achievement
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Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
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Taylor, Catherine S.; Lee, Yoonsun – Applied Measurement in Education, 2012
This was a study of differential item functioning (DIF) for grades 4, 7, and 10 reading and mathematics items from state criterion-referenced tests. The tests were composed of multiple-choice and constructed-response items. Gender DIF was investigated using POLYSIBTEST and a Rasch procedure. The Rasch procedure flagged more items for DIF than did…
Descriptors: Test Bias, Gender Differences, Reading Tests, Mathematics Tests
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Eklöf, Hanna; Pavešic, Barbara Japelj; Grønmo, Liv Sissel – Applied Measurement in Education, 2014
The purpose of the study was to measure students' reported test-taking effort and the relationship between reported effort and performance on the Trends in International Mathematics and Science Study (TIMSS) Advanced mathematics test. This was done in three countries participating in TIMSS Advanced 2008 (Sweden, Norway, and Slovenia), and the…
Descriptors: Mathematics Tests, Cross Cultural Studies, Foreign Countries, Correlation
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Bridgeman, Brent; Trapani, Catherine; Attali, Yigal – Applied Measurement in Education, 2012
Essay scores generated by machine and by human raters are generally comparable; that is, they can produce scores with similar means and standard deviations, and machine scores generally correlate as highly with human scores as scores from one human correlate with scores from another human. Although human and machine essay scores are highly related…
Descriptors: Scoring, Essay Tests, College Entrance Examinations, High Stakes Tests
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Liu, Ou Lydia; Wilson, Mark – Applied Measurement in Education, 2009
Many efforts have been made to determine and explain differential gender performance on large-scale mathematics assessments. A well-agreed-on conclusion is that gender differences are contextualized and vary across math domains. This study investigated the pattern of gender differences by item domain (e.g., Space and Shape, Quantity) and item type…
Descriptors: Gender Differences, Mathematics Tests, Measurement, Test Format
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Kane, Michael T.; Mroch, Andrew A. – Applied Measurement in Education, 2010
In evaluating the relationship between two measures across different groups (i.e., in evaluating "differential validity") it is necessary to examine differences in correlation coefficients and in regression lines. Ordinary least squares (OLS) regression is the standard method for fitting lines to data, but its criterion for optimal fit…
Descriptors: Least Squares Statistics, Regression (Statistics), Differences, Validity
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Imus, Anna; Schmitt, Neal; Kim, Brian; Oswald, Frederick L.; Merritt, Stephanie; Wrestring, Alyssa Friede – Applied Measurement in Education, 2011
Investigations of differential item functioning (DIF) have been conducted mostly on ability tests and have found little evidence of easily interpretable differences across various demographic subgroups. In this study, we examined the degree to which DIF in biographical data items referencing academically relevant background, experiences, and…
Descriptors: Test Bias, Gender Differences, Racial Differences, Biographical Inventories
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von Schrader, Sarah; Ansley, Timothy – Applied Measurement in Education, 2006
Much has been written concerning the potential group differences in responding to multiple-choice achievement test items. This discussion has included references to possible disparities in tendency to omit such test items. When test scores are used for high-stakes decision making, even small differences in scores and rankings that arise from male…
Descriptors: Gender Differences, Multiple Choice Tests, Achievement Tests, Grade 3
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Mendes-Barnett, Sharon; Ercikan, Kadriye – Applied Measurement in Education, 2006
This study contributes to understanding sources of gender differential item functioning (DIF) on mathematics tests. This study focused on identifying sources of DIF and differential bundle functioning for boys and girls on the British Columbia Principles of Mathematics Exam (Grade 12) using a confirmatory SIBTEST approach based on a…
Descriptors: Gender Differences, Test Bias, Mathematics Tests, Multidimensional Scaling
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