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Zwick, Rebecca; Himelfarb, Igor – Journal of Educational Measurement, 2011
Research has often found that, when high school grades and SAT scores are used to predict first-year college grade-point average (FGPA) via regression analysis, African-American and Latino students, are, on average, predicted to earn higher FGPAs than they actually do. Under various plausible models, this phenomenon can be explained in terms of…
Descriptors: Socioeconomic Status, Grades (Scholastic), Error of Measurement, White Students
Peer reviewedFischer, Frederick E. – Journal of Educational Measurement, 1970
The personalbiserial index is a correlation which measures the relationship between the difficulty of the items in a test for the person, as evidenced by this passes and failures, and the difficulty of the items as evidenced by group-determined item difficulties. Reliability and predictive validity are studiesstudied. (Author/RF)
Descriptors: Guessing (Tests), Item Analysis, Predictive Measurement, Predictor Variables
Peer reviewedThorndike, Robert L. – Journal of Educational Measurement, 1971
Descriptors: Culture Fair Tests, Predictive Measurement, Test Bias, Test Reliability
Peer reviewedReed, Cheryl L.; And Others – Journal of Educational Measurement, 1972
Purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses' grade point averages. (Authors)
Descriptors: Grade Point Average, Mathematical Models, Multiple Regression Analysis, Predictive Measurement
Peer reviewedLinn, Robert L. – Journal of Educational Measurement, 1984
The common approach to studies of predictive bias is analyzed within the context of a conceptual model in which predictors and criterion measures are viewed as fallible indicators of idealized qualifications. (Author/PN)
Descriptors: Certification, Models, Predictive Measurement, Predictive Validity
Peer reviewedLinn, Robert L.; Werts, Charles E. – Journal of Educational Measurement, 1971
Two problems in the investigation of predictive bias in tests, the effect of unreliability of the predictors, and the effect of excluding a predictor from the regression equation on which there are preexisting group differences, are discussed. (Author)
Descriptors: Comparative Analysis, Minority Groups, Predictive Measurement, Predictor Variables
Peer reviewedGross, Alan L.; Shulman, Vivian – Journal of Educational Measurement, 1980
The suitability of the beta binomial test model for criterion referenced testing was investigated, first by considering whether underlying assumptions are realistic, and second, by examining the robustness of the model. Results suggest that the model may have practical value. (Author/RD)
Descriptors: Criterion Referenced Tests, Goodness of Fit, Higher Education, Item Sampling
Peer reviewedBunda, Mary Anne – Journal of Educational Measurement, 1973
Procedures to be applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. (Author/CB)
Descriptors: Data Collection, Group Norms, Individual Testing, Item Sampling
Peer reviewedHumphreys, Lloyd G.; Taber, Thomas – Journal of Educational Measurement, 1973
Preliminary factor analyses of predictor tests in advantaged and disadvantaged groups is recommended as a way of forming a priori expectations concerning validities of the predictors to guide both use and research. (Authors)
Descriptors: Ability Identification, Disadvantaged, Factor Analysis, Individual Differences
Peer reviewedHarris, Chester W. – Journal of Educational Measurement, 1973
A brief note presenting algebraically equivalent formulas for the variances of three error types. (Author)
Descriptors: Algebra, Analysis of Covariance, Analysis of Variance, Error of Measurement
Peer reviewedBowers, John – Journal of Educational Measurement, 1970
Descriptors: College Freshmen, Disadvantaged, Educational Status Comparison, Grade Point Average
Peer reviewedGoldman, Roy D.; Hewitt, Barbara Newlin – Journal of Educational Measurement, 1975
High School GPA and Scholastic Aptitude Test V and M scales were used to predict college GPA for Mexican-American and Anglo-American college students. Results indicated that regression systems were essentially parallel for both groups, with virtually no difference in intercepts, though prediction of Anglo GPA appeared slightly more accurate.…
Descriptors: Anglo Americans, Grade Point Average, Grade Prediction, Higher Education
Methods of Smoothing Double-Entry Expectancy Tables Applied to the Prediction of Success in College.
Peer reviewedKolen, Michael J.; Whitney, Douglas R. – Journal of Educational Measurement, 1978
Nine methods of smoothing double-entry expectancy tables (tables that relate two predictor variables to probability of attaining success on a criterion) were compared using data for entering students at 85 colleges and universities. The smoothed tables were more accurate than those based on observed relative frequencies. (Author/CTM)
Descriptors: College Entrance Examinations, Expectancy Tables, Grade Prediction, High Schools
Peer reviewedTallmadge, G. Kasten – Journal of Educational Measurement, 1985
Support for the validity of the equipercentile assumption is presented in contrast with the conclusion of Powers, Slaughter, and Helmick (EJ 289 091). Observed "gains" from pre- to posttests are better attributed to stakeholder bias, posttests that match curriculum content too closely, or a combination of these factors. (Author/DWH)
Descriptors: Data Interpretation, Evaluation Methods, Norm Referenced Tests, Predictive Measurement
Peer reviewedSawyer, Richard – Journal of Educational Measurement, 1986
This study was designed to determine whether adjustments for the differential prediction observed among sex, racial/ethnic, or age subgroups in one freshman class at a college could be used to improve prediction accuracy for these subgroups in future freshman classes. (Author/LMO)
Descriptors: College Freshmen, Error of Measurement, Grade Prediction, Higher Education
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