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Showing all 12 results Save | Export
Crossley, Scott; McNamara, Danielle S.; Baker, Ryan; Wang, Yuan; Paquette, Luc; Barnes, Tiffany; Bergner, Yoav – International Educational Data Mining Society, 2015
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…
Descriptors: Online Courses, Large Group Instruction, Information Retrieval, Data Analysis
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Kim, Dongbin; Wolf-Wendel, Lisa; Twombly, Susan B. – Journal of Diversity in Higher Education, 2013
Using a national database, this study uses discriminant analysis to explore the role of citizenship status in determining intent to leave for pre-tenure faculty members at 4-year research universities. Of the 3 possible responses (intend to stay, intend to leave, and undecided), 2 functions emerged. The first function differentiates between those…
Descriptors: Tenure, College Faculty, Teacher Persistence, Intention
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Luyten, Hans; Tymms, Peter; Jones, Paul – School Effectiveness and School Improvement, 2009
The research findings presented in this paper illustrate how the "value added" of schooling can be assessed empirically using cross-sectional data. Application of the regression-discontinuity approach within a multilevel framework produces both an estimate of the absolute effect of 1 year schooling and an estimate of the variation across…
Descriptors: Academic Achievement, Longitudinal Studies, Sampling, Achievement Gains
Peer reviewed Peer reviewed
Overall, John E.; Woodward, – Applied Psychological Measurement, 1977
A method for studying relationships among groups in terms of categorical data patterns is described. The procedure yields a dimensional representation of configural relationships among multiple groups and a quantitative scaling of categorical data patterns for use in subsequent assignment of new individuals to the groups. (Author/CTM)
Descriptors: Clinical Diagnosis, Data Analysis, Discriminant Analysis, Mental Disorders
Peer reviewed Peer reviewed
Huberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
Peer reviewed Peer reviewed
Blixt, Sonya L. – Multiple Linear Regression Viewpoints, 1980
The use of multiple regression analysis was compared to the use of discriminant function analysis in the prediction of college faculty rank. The multiple regression technique was shown to be generally superior in this instance. (JKS)
Descriptors: Academic Rank (Professional), College Faculty, Data Analysis, Discriminant Analysis
Peer reviewed Peer reviewed
Hofmann, Richard J.; Kerek, Andrew – Perceptual and Motor Skills, 1983
A reanalysis of data from a 1980 Miami University study on sentence-combining in freshman writing courses investigated the role of reading comprehension (measured by the Sequential Test of Educational Progress) as a predictor of growth in writing skills (measured by syntactic and qualitative criteria). (Author/PN)
Descriptors: Data Analysis, Discriminant Analysis, Higher Education, Predictor Variables
Rubin, Rosalyn A.; Krus, Patricia H. – 1976
With a sample of 531 children measured on 79 variables, a series of discriminant function predictions of school placement were computed to compare the results of selected alternative procedures for treating missing data in multivariate data analyses. Procedures included elimination of cases with missing data as well as methods for substituting…
Descriptors: Comparative Analysis, Data Analysis, Discriminant Analysis, Early Childhood Education
Taylor, Alton L.; Martin, Joseph C., Jr. – 1993
This study investigated selected attitudinal and demographic factors, involvement, and philanthropic awareness of alumni donors and non-donors from a Research I, public university. A random sample of 500 alumni (250 donors and 250 non-donors) was selected from a population of 37,691, resulting in 371 (74 percent) usable surveys. Discriminant…
Descriptors: Alumni, Attitudes, Comparative Analysis, Data Analysis
Myers, Greeley; Siera, Steven – Journal of Student Financial Aid, 1980
Default on guaranteed student loans has been increasing. The use of discriminant analysis as a technique to identify "good" v "bad" student loans based on information available from the loan application is discussed. Research to test the ability of models to such predictions is reported. (Author/MLW)
Descriptors: College Students, Data Analysis, Discriminant Analysis, Financial Aid Applicants
Herr, Edwin L.; Baker, Stanley B.
There is a need for improved techniques for selection of students and prediction of student success in vocational-technical education. This study concerns identification of the kinds of readily available data which may be used to predict student success in Pennsylvania area vocational-technical schools and to differentiate among the…
Descriptors: Achievement Tests, Admission Criteria, Aptitude Tests, Data Analysis
Creech, F. Reid; And Others – 1977
At the time of the First Followup Survey of the members of the High School Class of 1972, approximately 18 months after graduation, sixty-five percent were unemployed, and eight percent were out of work. Forty-two percent were taking academic courses in a college or university. Graduates of the vocational high school curriculum were employed at…
Descriptors: Academic Aspiration, Comparative Analysis, Data Analysis, Discriminant Analysis