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Are Speeded Tests Unfair? Modeling the Impact of Time Limits on the Gender Gap in Mathematics
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Stoevenbelt, Andrea H.; Wicherts, Jelte M.; Flore, Paulette C.; Phillips, Lorraine A. T.; Pietschnig, Jakob; Verschuere, Bruno; Voracek, Martin; Schwabe, Inga – Educational and Psychological Measurement, 2023
When cognitive and educational tests are administered under time limits, tests may become speeded and this may affect the reliability and validity of the resulting test scores. Prior research has shown that time limits may create or enlarge gender gaps in cognitive and academic testing. On average, women complete fewer items than men when a test…
Descriptors: Timed Tests, Gender Differences, Item Response Theory, Correlation
Latent Structure of Early Adolescent Bullying Perpetration: A Taxometric Analysis of Raw and Ranked Scores
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Walters, Glenn D.; Espelage, Dorothy L. – Educational and Psychological Measurement, 2019
The purpose of this study was to investigate the latent structure type (categorical vs. dimensional) of bullying perpetration in a large sample of middle school students. A nine-item bullying scale was administered to 1,222 (625 boys, 597 girls) early adolescents enrolled in middle schools in a Midwestern state. Based on the results of a principal…
Descriptors: Early Adolescents, Bullying, Middle School Students, Scores
An Alternative Way to Model Population Ability Distributions in Large-Scale Educational Surveys
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Examining Differential Math Performance by Gender and Opportunity to Learn
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Albano, Anthony D.; Rodriguez, Michael C. – Educational and Psychological Measurement, 2013
Although a substantial amount of research has been conducted on differential item functioning in testing, studies have focused on detecting differential item functioning rather than on explaining how or why it may occur. Some recent work has explored sources of differential functioning using explanatory and multilevel item response models. This…
Descriptors: Test Bias, Hierarchical Linear Modeling, Gender Differences, Educational Opportunities
Using the Many-Faceted Rasch Model to Evaluate Standard Setting Judgments: An Illustration with the Advanced Placement Environmental Science Exam
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Kaliski, Pamela K.; Wind, Stefanie A.; Engelhard, George, Jr.; Morgan, Deanna L.; Plake, Barbara S.; Reshetar, Rosemary A. – Educational and Psychological Measurement, 2013
The many-faceted Rasch (MFR) model has been used to evaluate the quality of ratings on constructed response assessments; however, it can also be used to evaluate the quality of judgments from panel-based standard setting procedures. The current study illustrates the use of the MFR model for examining the quality of ratings obtained from a standard…
Descriptors: Item Response Theory, Models, Standard Setting (Scoring), Science Tests
Applying Bayesian Modeling and Receiver Operating Characteristic Methodologies for Test Utility Analysis
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Wang, Qiu; Diemer, Matthew A.; Maier, Kimberly S. – Educational and Psychological Measurement, 2013
This study integrated Bayesian hierarchical modeling and receiver operating characteristic analysis (BROCA) to evaluate how interest strength (IS) and interest differentiation (ID) predicted low–socioeconomic status (SES) youth's interest-major congruence (IMC). Using large-scale Kuder Career Search online-assessment data, this study fit three…
Descriptors: Bayesian Statistics, Socioeconomic Status, Student Interests, Gender Differences