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ERIC Number: ED388695
Record Type: Non-Journal
Publication Date: 1994-Nov
Pages: 24
Abstractor: N/A
Reference Count: N/A
Multivariate Correlation Analysis of a Student Satisfaction Survey.
Franklin, K. Kramer
Data from a student satisfaction survey were analyzed to determine those variables that best predict student satisfaction and to build a discriminant model of student satisfaction/dissatisfaction. The survey was administered to 2,634 undergraduate students enrolled in a regional university during the spring semester, 1993. Based on the findings of an exploratory factor analysis, the components of the educational experience for this student sample were determined as: (1) major; (2) personal development; (3) satisfaction; (4) academic involvement; (5) analytical problem solving; and (6) cultural awareness. Using multiple regression analysis, a significant predictive relationship was found between the dependent variable (overall student satisfaction) and four independent factors (major, personal development, analytical problem solving, and satisfaction). The same four factors were used to build a discriminant function of student satisfaction/dissatisfaction In both the regression model and the discriminant function, the satisfaction factor had the largest magnitude of strength, followed by major, analytical problem solving, and personal development. Study implications for the university are discussed. (Contains 5 tables and 13 references.) (SLD)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A