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Peer reviewedBolton, Brian – Journal of Vocational Behavior, 1985
Sixteen Personality Factor Questionnaire (16 PF) profiles for 69 occupational groups were analyzed according to Holland's six occupational types: Realistic, Investigative, Artistic, Social, Enterprising, and Convention. Three discriminant functions, labeled Independence, Extraversion, and Anxiety, enabled correct classification of 75 percent of…
Descriptors: Career Choice, Classification, Discriminant Analysis, Factor Analysis
Peer reviewedAcharya, Lalit – Journalism Quarterly, 1985
Discriminant analysis reveals threat as a dimension in a public relations practitioner's environment. (FL)
Descriptors: Communication Research, Discriminant Analysis, Environmental Influences, Job Performance
Draper, C. S. – Eng Educ, 1970
Article discusses systems engineering, a method of handling theoretical technology in its adaptation to environment. (Author/IR)
Descriptors: Discriminant Analysis, Engineering Education, Engineering Technology, Environmental Technicians
Curriculum Effects on the Social Climate of Learning: A New Representation of Discriminant Functions
Anderson, Gary J.; and others – Amer Educ Res J, 1969
Research supported by the U.S. Office of Education.
Descriptors: Course Evaluation, Curriculum Research, Discriminant Analysis, Educational Environment
Peer reviewedOgborne, Alan C.; And Others – Journal of Clinical Psychology, 1982
Describes a criterion group classification scheme commonly used in conjunction with discriminant function analysis and suggests that clinicians consider membership probabilities for each criterion group of interest. Illustrates this approach using data from a study in which discriminant analysis was used to identify characteristics of problem…
Descriptors: Alcohol Education, Classification, Clinical Psychology, Discriminant Analysis
Peer reviewedTerenzini, Patrick T.; And Others – Research in Higher Education, 1980
A methodology developed as an alternative to conventional institutional classification structures, intended to reduce the limitations of those models, is described. Ways in which the methodology can be used for planning, administrative, and research purposes are discussed, as are the dangers in using "peer groups" for institutional…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Planning
Peer reviewedHutchison, 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
Peer reviewedGreene, Laura L. – Educational Evaluation and Policy Analysis, 1989
Data on National Direct Student Loan Program borrowers at the University of North Carolina illustrate the use of a discriminant function analysis model and an alternative model identifying characteristics of borrowers who repay and borrowers who default. The alternative model--the Tobit technique--includes data on the magnitude of the default.…
Descriptors: College Students, Discriminant Analysis, Educational Economics, Higher Education
Peer reviewedDonnelly, Michael B.; Woolliscroft, James O. – Academic Medicine, 1989
Third-year medical students used 12 descriptive items to evaluate the teaching skills of first-year residents, senior medical residents, preceptors, and attending physicians. Intraclass correlations showed that the students were able to judge their instructors reliably. (Author/MLW)
Descriptors: Clinical Experience, Discriminant Analysis, Higher Education, Medical Education
Peer reviewedLavoie, Marc E.; Charlebois, Pierre – Psychology in the Schools, 1994
Compared 16 disruptive preadolescent boys with symptoms of attention deficit (AD) to 16 disruptive boys without attention deficit (DIS) and 16 controls (CO) using Stroop Color and Word Test (SCWT). Found AD group was significantly distinct (had lower score) in comparison to DIS and CO on color-word score. ADs showed more hesitations on color-word…
Descriptors: Attention Deficit Disorders, Behavior Problems, Cost Effectiveness, Discriminant Analysis
Peer reviewedChaplin, Terry C.; And Others – Journal of Consulting and Clinical Psychology, 1995
Examined the discriminant validity of sexual responses to stories of child sexual assault when told from the point of view of a male perpetrator versus that of a female child victim. Results indicate the relevance of changing deviant preferences and enhancing empathy for the victim while treating child molesters. (RJM)
Descriptors: Auditory Stimuli, Child Abuse, Comparative Analysis, Discriminant Analysis
Peer reviewedTerry, Robert; Coie, John D. – Developmental Psychology, 1991
Compared classification procedures of peer rating and peer positive, negative, and behavioral nomination. Two large samples of children were followed from grades three to five. Each sociometric system was found to maximize different psychometric properties. Two-dimensional systems yielded better behavioral discriminability than did unidimensional…
Descriptors: Discriminant Analysis, Elementary Education, Elementary School Students, Longitudinal Studies
Peer reviewedFrary, Robert B. – Applied Measurement in Education, 1991
The use of the "none-of-the-above" option (NOTA) in 20 college-level multiple-choice tests was evaluated for classes with 100 or more students. Eight academic disciplines were represented, and 295 NOTA and 724 regular test items were used. It appears that the NOTA can be compatible with good classroom measurement. (TJH)
Descriptors: College Students, Comparative Testing, Difficulty Level, Discriminant Analysis
Peer reviewedNaik, Bijayananda; Ragothaman, Srinivasan – College Student Journal, 2004
Predicting MBA student performance for admission decisions is crucial for educational institutions. This paper evaluates the ability of three different models--neural networks, logit, and probit to predict MBA student performance in graduate programs. The neural network technique was used to classify applicants into successful and marginal student…
Descriptors: Evaluation Criteria, Business Administration, Admission Criteria, Decision Making
Kahan, David – Research Quarterly for Exercise and Sport, 2005
Few studies of religiosity and physical activity (PA) correlates have been conducted; thus, a cross-sectional survey of 367 more and less religious Jewish adolescents' (M age = 12.8 years, SD = 0.9) perceptions of parental and environmental support of PA was conducted at religious day schools in two large American cities. Maternal Support,…
Descriptors: Physical Activities, Jews, Factor Analysis, Comparative Analysis

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