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Deering, Pamela Rose – ProQuest LLC, 2014
This research compares and contrasts two approaches to predictive analysis of three years' of school district data to investigate relationships between student and teacher characteristics and math achievement as measured by the state-mandated Maryland School Assessment mathematics exam. The sample for the study consisted of 3,514 students taught…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, Mathematics Achievement
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
Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
Levine, Daniel U.; Stephenson, Robert S. – 1988
Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…
Descriptors: Academic Achievement, Educational Policy, Elementary Secondary Education, Multiple Regression Analysis

Baird, Leonard L. – Research in Higher Education, 1984
The statistical and institutional influences on the prediction of first-year college grades were examined using data from College Board validity studies and the College Handbook. The criterion was the size of the multiple correlation between academic predictors and first-year college grades. (Author/MLW)
Descriptors: College Students, Grades (Scholastic), Higher Education, Institutional Characteristics

Abedi, Jamal; Benkin, Ellen – Research in Higher Education, 1987
Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)
Descriptors: College Students, Demography, Doctoral Degrees, Higher Education

Wilkinson, William K.; Schwartz, Neil H. – Innovative Higher Education, 1990
The aim of this study was to determine the relative potency of different student characteristics potentially salient to differentiating epistemological view. The student variables were demographic (major and sex), verbal ability, and learning style (four scales from the Inventory of Learning Processes). (Author/MLW)
Descriptors: Academic Ability, Cognitive Style, College Students, Demography

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
Feely, Ted – 1975
This study seeks to illuminate those characteristics of students which predict their performance in using evidence to test a hypothesis. The research is conceived as part of a larger investigative strategy for understanding the relationships among characteristics of students, characteristics of social studies thinking tasks, and characteristics of…
Descriptors: Critical Reading, Critical Thinking, Multiple Regression Analysis, Predictive Measurement
Shack, David M.; Owen, Steven V. – 1973
While many studies have predicted elementary school achievement, few have investigated both cognitive and biographical predictors simultaneously in a multiple regression format. The present study used both types of variables in predicting achievement over a 20 month span. Criterion variables consisted of Stanford Achievement Test subscores, and a…
Descriptors: Academic Achievement, Achievement Tests, Cognitive Ability, Elementary Education
Ross, Robert O. – 1990
In 1990, a study was conducted at Tompkins Cortland Community College (TCCC) to determine if there was a significant difference in the personal characteristics of applicants for full-time study who actually attended and those who did not attend the college. In addition, the study sought to identify those variables that accounted for the largest…
Descriptors: Attendance Patterns, College Applicants, College Attendance, Community Colleges
Wysocki, James C. – 1977
The performance of the University of Arizona College of Medicine's graduating class of 1976 on the National Board of Medical Examiners (NBME) Parts I and II was analyzed in a structural equation model. Although the primary emphasis of this paper is toward model development, the effects of several background and demographic variables such as age,…
Descriptors: Critical Path Method, Grade Point Average, Higher Education, Mathematical Models

Carrier, Carol A.; And Others – Research in Higher Education, 1988
Students in a large lecture course were asked to complete the Notetaking Perceptions Survey, an instrument that assesses students' perceptions of the worth or value of notetaking, their perceived level of notetaking activity, and their degree of confidence about their own notetaking skill. (Author/MLW)
Descriptors: Academic Achievement, Age Differences, Cognitive Style, College Students

Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
1975
This document describes a model for predicting the success of recent high school graduates in Florida community college business courses. In the development of the model, test scores from the Florida Twelfth Grade Test and grades earned during the senior year by high school graduates from eleven high schools in Brevard County entering their first…
Descriptors: Academic Ability, Academic Achievement, Business Education, Community Colleges
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