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Direct linkSinha, 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
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
