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Sinha, Ruchi; Oswald, Frederick; Imus, Anna; Schmitt, Neal – Applied Measurement in Education, 2011
The current study examines how using a multidimensional battery of predictors (high-school grade point average (GPA), SAT/ACT, and biodata), and weighting the predictors based on the different values institutions place on various student performance dimensions (college GPA, organizational citizenship behaviors (OCBs), and behaviorally anchored…
Descriptors: Grade Point Average, Interrater Reliability, Rating Scales, College Admission
Wise, Steven L.; Pastor, Dena A.; Kong, Xiaojing J. – Applied Measurement in Education, 2009
Previous research has shown that rapid-guessing behavior can degrade the validity of test scores from low-stakes proficiency tests. This study examined, using hierarchical generalized linear modeling, examinee and item characteristics for predicting rapid-guessing behavior. Several item characteristics were found significant; items with more text…
Descriptors: Guessing (Tests), Achievement Tests, Correlation, Test Items
Allen, Jeff; Robbins, Steven B.; Sawyer, Richard – Applied Measurement in Education, 2010
Research on the validity of psychosocial factors (PSFs) and other noncognitive predictors of college outcomes has largely ignored the practical benefits implied by the validity. We summarize evidence of the validity of PSF measures as predictors of college outcomes and then explain how this validity directly translates into improved identification…
Descriptors: Institutional Research, Academic Persistence, Validity, At Risk Students
Wise, Steven L. – Applied Measurement in Education, 2006
In low-stakes testing, the motivation levels of examinees are often a matter of concern to test givers because a lack of examinee effort represents a direct threat to the validity of the test data. This study investigated the use of response time to assess the amount of examinee effort received by individual test items. In 2 studies, it was found…
Descriptors: Computer Assisted Testing, Motivation, Test Validity, Item Response Theory