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Sayler, Micheal F.; Boazman, Janette; Natesan, Prathiba; Periathiruvadi, Sita – Gifted Child Quarterly, 2015
This study examined the psychometric properties of the Personal Well-being Index for Adults (PWI-A), a measure of subjective well-being. The study used data from 533 high-ability American college students: honors students and participants in an early college entrance program. In earlier studies using the PWI-A, the instrument appeared to show…
Descriptors: Well Being, Academically Gifted, College Students, Psychometrics
Facca, Tina M.; Allen, Scott J. – Journal of Leadership Education, 2011
Using emotionally intelligent leadership (EIL) as the model, the authors identify behaviors that three levels of leaders engage in based on a self-report inventory (Emotionally Intelligent Leadership for Students-Inventory). Three clusters of students are identified: those that are "Less-involved, Less Others-oriented,"…
Descriptors: Emotional Intelligence, Leadership, Models, Leadership Training
Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M. – Journal of Counseling & Development, 2009
Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…
Descriptors: Dropout Research, Dropouts, Predictor Variables, Discriminant Analysis

Blanchfield, W. C. – Journal of Experimental Education, 1971
Research Project at Utica College to identify potential college dropouts using the technique of Multiple Discriminant Analysis. (RY)
Descriptors: Case Studies, College Students, Discriminant Analysis, Dropout Characteristics

Smith, A. Wade; Allen, Walter R. – Research in Higher Education, 1984
The National Study of Black College Students (NSBCS) is employed to develop a model that distinguishes between high- and low-performing Black undergraduates attending public, four-year institutions. Several institutional and student characteristics which are related to Black students' educational outcomes are identified. (Author/MLW)
Descriptors: Academic Achievement, Black Students, College Students, Discriminant Analysis

Yesilcay, Yasar; Akman, K. Ibrahim – Studies in Educational Evaluation, 1996
Discriminant analysis can be used in the early detection of achievers and nonachievers in a university so as to provide additional attention for these students. Results with 292 Turkish college students support the accuracy of analysis results and the use of the approach for advice and counseling. (SLD)
Descriptors: College Students, Counseling, Discriminant Analysis, Foreign Countries

Terenzini, Patrick T.; And Others – Review of Higher Education, 1985
A study of the predictive validity of Tinto's theory of college student attrition is described. Compensatory interaction between levels of goal and institutional commitment indicated that institutional commitment had its greatest positive influence on retention for students with low levels of commitment to completing a college degree, and vice…
Descriptors: Background, College Students, Discriminant Analysis, Higher Education

Solander, Lars – American Journal of Pharmaceutical Education, 1978
This article describes the development of a model that can select students likely to succeed in a professional pharmacy program, and also identify those likely to have trouble that could lead to academic withdrawal. Data are based on students at the University of Maryland School of Pharmacy. (JMD)
Descriptors: Academic Achievement, Academic Failure, College Admission, College Students

Nelson, Arthur A., Jr.; And Others – American Journal of Pharmaceutical Education, 1987
A multivariate model of the influence of attributes and demographics on the selection of degree program and type of institution was assessed. Factor analysis of mean influence scores yielded a set of 12 factors that explained 21% of the sample variance. (Author/MLW)
Descriptors: College Students, Degrees (Academic), Discriminant Analysis, Higher Education

Hutchison, Jerry E.; Johnson, A.E., Jr. – NASPA Journal, 1980
Multiple discriminant analysis is an effective research tool to approach the problem of student attrition. Using this method, the small, liberal arts college can more accurately identify students who are likely to persist. Academic achievement and nonacademic variables are coupled to enhance the power of discriminant analysis. (RC)
Descriptors: Academic Achievement, Academic Persistence, College Students, Discriminant Analysis
Dickinson, Josephine; Tokar, David M. – Journal of Vocational Behavior, 2004
Using a sample of 350 college students, this study examined the structural and discriminant validity of the Career Factors Inventory (CFI; Chartrand, Robbins, Morrill, & Boggs, 1990), a multidimensional measure of career indecision intended to be scored for two informational indecision components (Need for Career Information and Need for…
Descriptors: Psychometrics, Test Validity, Career Counseling, College Students
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

Smith, Kerry – College and University, 1990
This study was initiated to determine whether factors pertinent to the choices of four-year students apply to, and are predictive of, the decisions of two-year students, or whether alternative models of choice are needed. Students completed a questionnaire which asked for information about their characteristics and college decisions. (MLW)
Descriptors: College Choice, College Students, Colleges, Community Colleges