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Wang, Xueli – Journal of Higher Education, 2012
This study examined factors associated with the upward transfer of baccalaureate aspirants beginning at community colleges. Based on data from the National Education Longitudinal Study of 1988 and the Postsecondary Education Transcript Study, a sequential logistic regression analysis was conducted to predict bachelor's degree-seeking community…
Descriptors: Community Colleges, Performance Factors, College Transfer Students, Longitudinal Studies
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Fusilier, Marcelline; Durlabhji, Subhash; Cucchi, Alain – Journal of Educational Computing Research, 2008
National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…
Descriptors: Foreign Countries, Data Analysis, Internet, Technology Integration
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Newman, Isadore; And Others – Journal of Industrial Teacher Education, 1981
Presents a theoretical model which helps identify significant predictors of employability of vocational graduates. Discusses the decision to hire, multiple linear regression methods, reasons for poor predictability, and interpretation of the results. (CT)
Descriptors: Data Analysis, Employment Potential, Labor Force, Models
Bernstein, Lawrence – 1990
Educational research on the factors of student achievement has been limited by its failure to consider the multilevel or hierarchical nature of most data. This study used a nonexperimental regression-based procedure, hierarchical linear modeling (HLM), to empirically develop a predictive model of fifth-grade achievement in reading and mathematics…
Descriptors: Academic Achievement, Data Analysis, Grade 5, Intermediate Grades
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Sobol, Marion G. – Research in Higher Education, 1984
Multiple regression analysis was used to establish a scale, measuring college student involvement in campus activities, work experience, technical background, references, and goals. This scale was tested to see whether it improved the prediction of success in graduate school. (Author/MLW)
Descriptors: Academic Achievement, Admission Criteria, Business Administration, Data Analysis
Pelz, Donald C.; Faith, Ray E. – 1971
This final report summarizes past research and suggests new approaches to the problem of estimating long-term individual constants using path analysis. The general objective of the research was to detect and measure the likelihood that one variable, x, measured at time, t, has a causal influence on another variable, y, measured at a subsequent…
Descriptors: Correlation, Data Analysis, Educational Research, Evaluation Methods
Witmer, David R. – 1981
The prediction that differences in incomes of high school and college graduates will not change is tested by applying standard statistical procedures to data describing actual income differences. Data from the United States Bureau of the Census describe annual incomes of men twenty-five years old and older during 1956-75. Report 1 displays results…
Descriptors: Adults, College Graduates, Data Analysis, High School Graduates
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Donnelly, Michael; And Others – Journal of Medical Education, 1986
Multiple regression analyses were employed to determine the relationships between achievement variables as predictors of the performance on the National Board of Medical Examiners examinations of medical students. Score averages were added to a composite Medical College Admission Test to investigate the increases in prediction accuracy.…
Descriptors: College Entrance Examinations, Comparative Analysis, Data Analysis, Data Collection