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McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
Harford, Thomas C.; Yi, Hsiao-Ye; Freeman, Robert C. – Journal of Child & Adolescent Substance Abuse, 2012
This study examines associations between binge drinking and other substance use and perpetration of violence against self and others. Data were pooled from the 2003, 2005, and 2007 Youth Risk Behavior Surveys, yielding a sample of 43,172 U.S. high school students. A typology was constructed to reflect four categories of behaviors: other-directed…
Descriptors: High School Students, Correlation, Data Analysis, Multiple Regression Analysis
Ziya, Engin; Dogan, Nuri; Kelecioglu, Hulya – Turkish Online Journal of Educational Technology - TOJET, 2010
This study aims at determining the extent to which computer using skills specified in Project for International Students Evaluation (PISA) 2006 predict Turkish students' achievement in mathematics. Apart from questions on mathematics, science and reading competencies, a student questionnaire, a school questionnaire and a parent questionnaire were…
Descriptors: Mathematics Achievement, Academic Achievement, Questionnaires, Computers