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Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity
Steenman, Sebastiaan C.; Bakker, Wieger E.; van Tartwijk, Jan W. F. – Studies in Higher Education, 2016
The first-year grade point average (FYGPA) is the predominant measure of student success in most studies on university admission. Previous cognitive achievements measured with high school grades or standardized tests have been found to be the strongest predictors of FYGPA. For this reason, standardized tests measuring cognitive achievement are…
Descriptors: Selective Admission, Grade Point Average, College Freshmen, Grade Prediction