In this chapter, the authors focus on issues of validity in measuring student learning as a prospective indicator of institutional effectiveness. Other chapters in this volume include reference to specific approaches to measuring student learning for accountability purposes, such as through standardized tests, authentic samples of student work,…

"High Schools That Work" (HSTW) is a school improvement initiative that was inaugurated by the Southern Regional Education Board (SREB) in 1987. The main purpose of this concurrent validity study is to evaluate one or more measures by investigating their relationship to other commonly used and established measures given at or about the…

Achievement goal theory is an important theoretical framework for understanding achievement motivation. In previous studies, a mastery orientation has been shown to be related to students' interest, while a performance orientation has been found to be predictive of academic performance outcomes such as course grades. In this study, the two mastery…

Discusses the overprediction of minority students' college grades in studies using test scores and high school grades. Describes a study of 790 fourth-year undergraduates, analyzing both academic and nonacademic measures to see if more accurate predictions could be obtained. Reports that the addition of nonacademic constructs resulted in better…

A new measure of academic performance was developed through a new application of item response theory (IRT). This new criterion, an IRT-based grade point average (GPA), was used to determine the predictive validity of certain preadmissions measures for 1,564 students admitted to Stanford University in 1982. (SLD)

Item response theory (IRT) is used to develop a form of adjusted cumulative grade point average (GPA) for use in predicting college academic performance appropriately for males and females. For 1,564 students at Stanford University (California), the IRT-based GPA was more predictable from preadmission measures than the cumulative GPA. (SLD)

Research in the area of grade adjustment methods from the last 27 years is reviewed in the context of admissions selection and of prediction of student performance in college. Contemporary grade adjustment methods can often produce indexes of academic performance with greater reliability than that found with grade point average. (SLD)

Uses the general linear model to develop an adjusted cumulative grade point average (GPA) that systematically models grading effects among courses. A validation study using 778 courses of 1,564 Stanford (California) University students shows an increase in predictability of the adjusted least-squares GPA over the unadjusted GPA. (SLD)