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Linn, Robert L. – Journal of Educational Measurement, 1976
Discusses some models, including the Petersen Novick Model (TM 502 259) regarding fair selection procedures. (DEP)
Descriptors: Bias, Decision Making, Evaluation Criteria, Models
Peer reviewed Peer reviewed
Linn, Robert L. – Journal of Educational Measurement, 1983
When the precise basis of selection effect on correlation and regression equations is unknown but can be modeled by selection on a variable that is highly but not perfectly related to observed scores, the selection effects can lead to the commonly observed "overprediction" results in studies of predictive bias. (Author/PN)
Descriptors: Bias, Correlation, Higher Education, Prediction
Peer reviewed Peer reviewed
Linn, 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 reviewed Peer reviewed
Linn, Robert L. – Review of Educational Research, 1973
There is more than one reasonable definition of test fairness and these definitions are in conflict; alternate formulations are discussed here. (JB)
Descriptors: Educational Research, Literature Reviews, Measurement Techniques, Predictive Validity
Linn, Robert L.; Betebenner, Damian W.; Wheeler, Kerry S. – 1998
For assessments that present problems that require extended responses and substantial amounts of time, there is often a desire to allow students to choose which problem they will respond to among two or more options. Student choice of problem may allow students a better opportunity to demonstrate what they know and are able to do. On the other…
Descriptors: Comparative Analysis, Construct Validity, Constructed Response, Grade 10