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Grohsmeyer, Frederick; Johnson, Richard R. – 1968
During the fall term, preliminary forms of the Experimental Method Test (EMT) were given to introductory level psychology students as well as a number of advanced students. The results of this preliminary testing led to the development of a second form of the test which was evaluated over a number of groups of students. The results of the final…
Descriptors: Discriminant Analysis, Factor Analysis, Group Testing, Measurement Instruments
Salton, G.; And Others – 1974
Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…
Descriptors: Automatic Indexing, Automation, Content Analysis, Discriminant Analysis
Krisak, Joseph – Offender Rehabilitation, 1978
In an attempt to differentiate between inmates who are responsive to therapeutic intervention and those who are not, 41 personality, educational, and cognitive variables were entered into a multiple discriminant analysis design. An 80% successful discrimination was obtained between "program successes" and "program dropouts."…
Descriptors: Correctional Rehabilitation, Counseling Effectiveness, Discriminant Analysis, Institutionalized Persons
Peer reviewedBohannon, Tom; Smith, W. B. – Educational and Psychological Measurement, 1978
A method for estimating variance-covariance matrices with incomplete data for use in discriminant function analysis is presented. An example of its use in college algebra course placement is also presented. (JKS)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Discriminant Analysis
Peer reviewedHuberty, Carl J.; And Others – Multivariate Behavioral Research, 1987
Three estimates of the probabilities of correct classification in predictive discriminant analysis were computed using mathematical formulas, resubstitution, and external analyses: (1) optimal hit rate; (2) actual hit rate; and (3) expected actual hit rate. Methods were compared using Monte Carlo sampling from two data sets. (Author/GDC)
Descriptors: Classification, Discriminant Analysis, Elementary Education, Estimation (Mathematics)
Peer reviewedTakane, Yoshio; And Others – Psychometrika, 1987
A new method of multiple discriminant analysis allows a mixture of continuous and discrete predictors. It handles conditional, joint, or separate sampling. Subjects and criterion groups are represented as points in a multidimensional Euclidean space. Advantages of the method, deriving from Akaike Information Criterion model evaluation, are…
Descriptors: Adults, Discriminant Analysis, Evaluation Criteria, Mathematical Models
Peer reviewedCrouch, Carolyn J. – Information Processing and Management, 1988
Describes the two basic approaches to the calculation of term discrimination values for automatic indexing. The results of an experiment that investigated the differences between algorithms of these two approaches in terms of their impact on the discrimination value model are reported and discussed. (13 references) (Author/CLB)
Descriptors: Algorithms, Automatic Indexing, Comparative Analysis, Computational Linguistics
Peer reviewedSmith, 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
Peer reviewedBean, Andrew G.; Covert, Robert W. – Educational and Psychological Measurement, 1973
Purpose of this study was to discriminate among college persisters, withdrawals, and academic dismissals through using measures of scholastic aptitude and personality. (Authors)
Descriptors: Academic Aptitude, College Students, Discriminant Analysis, Dropouts
Peer reviewedRichek, H. G. – Alberta Journal of Educational Research, 1973
The primary purpose of this paper is to test-using multiple discriminant analysis-the ...generalized, multivariate null hypothesis...'' that three groups of prospective teachers-female elementary, female secondary, and male secondary do not differ on two sets of personality variables. (Author)
Descriptors: Discriminant Analysis, Elementary Schools, Males, Personality Assessment
Peer reviewedKirkendall, Don R.; Ismail, A. H. – Child Development, 1970
Descriptors: Discriminant Analysis, Elementary School Students, Emotional Adjustment, Individual Characteristics
Peer reviewedWood, Samuel E. – Journal of Research and Development in Education, 1970
Descriptors: Behavioral Science Research, Classroom Observation Techniques, Cognitive Processes, Discriminant Analysis
Peer reviewedGirondi, Alfred J. – Journal of Environmental Education, 1983
This study was designed to develop a test instrument for measuring selected attitudes toward nuclear power, determine if attitudinal differences existed between selected groups of individuals, describe group differences in attitude, and classify group members as either anti- or pronuclear. Results, based on discriminant analysis, are reported and…
Descriptors: Attitudes, Discriminant Analysis, Educational Background, Environmental Education
Glass, Marlys A. – Education Canada, 1983
Students need to be taught how to use the media effectively if they are to operate intelligently in a society that is highly media oriented. In order to deal with media, students must understand why media operate as they do and what the attendant consequences are. (BRR)
Descriptors: Classroom Techniques, Discriminant Analysis, English Curriculum, Foreign Countries
Peer reviewedBaggaley, Andrew R. – Evaluation Review, 1981
A diagram is used to aid discussion of how several of the frequently used multivariate statistical techniques are interrelated. All of those discussed can be regarded as special cases of canonical correlation. (Author)
Descriptors: Analysis of Variance, Behavioral Science Research, Discriminant Analysis, Measurement Techniques


