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Luo, Ling; Koprinska, Irena; Liu, Wei – International Educational Data Mining Society, 2015
In this paper we consider discrimination-aware classification of educational data. Mining and using rules that distinguish groups of students based on sensitive attributes such as gender and nationality may lead to discrimination. It is desirable to keep the sensitive attributes during the training of a classifier to avoid information loss but…
Descriptors: Classification, Data Analysis, Case Studies, Prediction
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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
Neal, Robert; King, Paul – J Counseling Psychol, 1969
Interprets College Interest Inventory, administered to 284 students, both ways, with neither method proving superior. Suggests that under restricted conditions, discriminant function might be more appropriate for counseling purposes than configural analysis. (Author/CJ)
Descriptors: Classification, College Students, Comparative Analysis, Data Analysis
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
Glover, Robert H.; Mills, Michael R. – 1989
A research design, decision support system, and results of a comparative analysis of enrollment and financial strength (of private institutions granting masters and doctoral degrees) are presented. Cluster analysis, discriminant analysis, multiple regression, and an interactive decision support system are used to compare the enrollment and…
Descriptors: Cluster Analysis, College Planning, Comparative Analysis, Data Analysis
FLEEGE, URBAN H.; AND OTHERS – 1967
IN ORDER TO INVESTIGATE THE EFFECTIVENESS OF MONTESSORI PRESCHOOL EDUCATION AS COMPARED WITH NON-MONTESSORI PRESCHOOL EDUCATION, PHASE I OF THIS STUDY MATCHED 2 GROUPS, EACH OF 21 PRESCHOOL CHILDREN, ON INTELLIGENCE QUOTIENT AND CERTAIN SOCIO-ECONOMIC FACTORS. ONE GROUP ATTENDED A MONTESSORI PRESCHOOL AND THE OTHER A NON-MONTESSORI PRESCHOOL. THE…
Descriptors: Academic Ability, Academic Achievement, Behavior Development, Comparative 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