Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Cheema, Jehanzeb | 1 |
Culpepper, Steven A. | 1 |
Davenport, Ernest C. | 1 |
Jones, Jeff A. | 1 |
Kitsantas, Anastasia | 1 |
Shigemasu, Kazuo | 1 |
Waller, Niels G. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
High Schools | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Cheema, Jehanzeb; Kitsantas, Anastasia – Educational Psychology, 2016
This study investigated the predictiveness of preferred learning styles (competitive and cooperative) and classroom climate (teacher support and disciplinary climate) on learning strategy use in mathematics. The student survey part of the Programme for International Student Assessment 2003 comprising of 4633 US observations was used in a weighted…
Descriptors: High School Students, Learning Strategies, Prediction, Preferences
Waller, Niels G.; Jones, Jeff A. – Psychometrika, 2010
A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…
Descriptors: Least Squares Statistics, Correlation, Comparative Analysis, Prediction
Culpepper, Steven A.; Davenport, Ernest C. – Journal of Educational Measurement, 2009
Previous research notes the importance of understanding racial/ethnic differential prediction of college grades across multiple institutions. Institutional variation in selection indices is especially important given some states' laws governing public institutions' admissions decisions. This paper employed multilevel moderated multiple regression…
Descriptors: Prediction, College Students, Grades (Scholastic), Race

Shigemasu, Kazuo – Journal of Educational Statistics, 1976
Context for the application and specialization of a Bayesian linear model is m-group regression and the application to the prediction of grade point average. Specialization involves the assumption of homogeneity of regression coefficients (but not intercepts) across groups. Model's predictive efficiency is compared with that of the full m-group…
Descriptors: Bayesian Statistics, Comparative Analysis, Grade Point Average, Least Squares Statistics