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Raymond, Mark R. – 1987
This paper examines some of the problems that arise when conducting multivariate analyses with incomplete data. The literature on the effectiveness of several missing data procedures (MDP) is summarized. The most widely used MDPs are: (1) listwise deletion; (2) pairwise deletion; (3) variable mean; (4) correlational methods. No MDP should be used…
Descriptors: Correlation, Data, Higher Education, Multivariate Analysis
Peer reviewed Peer reviewed
Young, Abimbola S. – Higher Education, 1989
Multi-group discriminant analysis was used to identify the pre-enrollment demographic and academic factors that best separate the success classes in the first-year examinations of science students at the University of Benin. The predictor of success was performance in specialist subjects of the matriculation examination. (Author/MLW)
Descriptors: Academic Achievement, College Science, College Students, Demography
Van Epps, Pamela D.; Thompson, Bruce – 1990
The measurement integrity of M. A. Rahim's Organizational Conflict Inventory (ROCI-II) and D. M. Roussel's Managerial Frames of Mind Survey (MFMS) was investigated, as was the relationship between scores on the two measures. Subjects were 369 managers from three types of organizations: (1) higher education; (2) not-for-profit public sector…
Descriptors: Administrator Characteristics, Administrators, Comparative Testing, Conflict Resolution
Abadzi, Helen – Journal of College Student Personnel, 1980
International student admissions in universities can be facilitated by multivariate statistical procedures. On the basis of existing data on student characteristics, predictions can be made regarding performance of applicants. These predictions consider personal variables, knowledge of English, and various indicators of academic performance.…
Descriptors: Academic Aptitude, Admission Criteria, College Admission, Computer Oriented Programs
Peer reviewed Peer reviewed
Noble, John H., Jr.; And Others – Evaluation Review, 1992
Results of combining various measures of faculty productivity in a public research university with budgetary cost data using input-output analyses are reported. Application of this method provides mixed support for the notion that university administrators can use annual budget decisions to influence faculty productivity and costs. (SLD)
Descriptors: Budgeting, College Faculty, Cost Effectiveness, Educational Finance
Peer reviewed Peer reviewed
Dawson-Saunders, Beth; Doolen, Deane R. – Journal of Medical Education, 1981
The relationships between predictors of performance and subsequent measures of clinical performance in medical school were examined for two classes at Southern Illinois University of Medicine. Canonical redundancy analysis was used to evaluate the association between six academic and three biographical preselection characteristics and four…
Descriptors: Clinical Experience, Competence, Grade Point Average, Higher Education
McKee, Barbara G. – 1980
Canonical variate analysis was employed to measure the direction and intensity of relationships between student ratings of instruction and students' course-oriented attitude change. Change was defined as the residual post-course attitude scores when pre-course attitude scores served as predictors. The Adjective Rating Scale (ARS), a measure of…
Descriptors: Attitude Measures, Course Evaluation, Higher Education, Multivariate Analysis
Peer reviewed Peer reviewed
Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics
Coughlin, Mary Ann; Pagano, Marian – 1997
This monograph covers the theory, application, and interpretation of both descriptive and inferential statistical techniques in institutional research. Each chapter opens with a hypothetical case study, which is used to illustrate the application of one or more statistical procedures to typical research questions. Chapter 2 covers the comparison…
Descriptors: Analysis of Covariance, Analysis of Variance, Chi Square, Correlation