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Vansickle, Timothy R.; Prediger, Dale J. – 1991
This paper illustrates a procedure for using the interest scores of occupational group members to locate occupations on Holland's hexagon. The procedure locates occupations throughout the hexagon--not just at the six points. The Holland types are Realistic (R), Investigative (I), Artistic (A), Social (S), Enterprising (E), and Conventional (C).…
Descriptors: Career Choice, Career Counseling, Career Development, College Graduates
O'Connell, Ann Aileen – 1993
The relationships among types of errors observed during probability problem solving were studied. Subjects were 50 graduate students in an introductory probability and statistics course. Errors were classified as text comprehension, conceptual, procedural, and arithmetic. Canonical correlation analysis was conducted on the frequencies of specific…
Descriptors: Ability, Computation, Correlation, Graduate Students
Tutin, Judith; Kessler, Marc – 1982
It has been estimated that the most pressing problem in community mental health care clinics is dropout, defined as unilateral termination by the client without therapist approval. To clarify the nature of dropout patients, 133 outpatient records at a rural community mental health center were examined over a one year period. Variables expected to…
Descriptors: Counseling Effectiveness, Delivery Systems, Dropout Characteristics, Dropout Rate
Van Epps, Pamela D. – 1987
This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…
Descriptors: Classification, Correlation, Discriminant Analysis, Educational Research
Campbell, Kathleen T. – 1989
Problems associated with the use of analysis of covariance (ANCOVA) as a statistical control technique are explained. Three problems relate to the use of "OVA" methods (analysis of variance, analysis of covariance, multivariate analysis of variance, and multivariate analysis of covariance) in general. These are: (1) the wasting of information when…
Descriptors: Analysis of Covariance, Analysis of Variance, Multivariate Analysis, Regression (Statistics)
Davis, Wesley K. – 1989
An experimental study evaluated the writing growth of 97 college freshmen before and after instruction to determine whether direct instruction in F. Christensen's "Generative Rhetoric of a Sentence" (1967) made a significant impact on freshmen writers' use of right-branched free modification. The study used a quantitative,…
Descriptors: Classroom Techniques, College Freshmen, Freshman Composition, Higher Education
Chastain, Robert L.; Joe, George W. – 1986
Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…
Descriptors: Adults, Comparative Analysis, Correlation, Factor Analysis
Willett, John B.; Singer, Judith D. – 1988
Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…
Descriptors: Computer Simulation, Computer Software, Data Analysis, Databases
Belli, Gabriella M. – 1989
An examination of articles in the last 5 years of the "American Educational Research Journal" (AERJ) was conducted to determine the extent to which choices of levels of parameters in a multivariate analysis were comparable to empirical research that uses multivariate analysis of variance (MANOVA). Originally, a main question was to…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Literature Reviews
van der Burg, Eeke; de Leeuw, Jan – 1988
A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is implemented within the computer program for canonical correlation analysis called CANALS. The REDUNDALS algorithm is of an alternating least square (ALS) type. The technique is defined as minimization of a squared distance between criterion…
Descriptors: Algorithms, Attitude Measures, Computer Oriented Programs, Correlation
Easton, John Q.; Engelhard, George, Jr. – 1981
Elementary school attendance and achievement data were collected from the records of a random sample of 1,200 Chicago students. There were complete longitudinal data sets for 333 students in kindergarten through eighth grade. Student absence was highest in kindergarten and decreased until fourth grade; absence rates were approximately constant…
Descriptors: Academic Achievement, Attendance, Attendance Patterns, Educational Research
Soares, Louise M.; Soares, Anthony T. – 1981
In order to refine further the process of measuring self-perceptions, nine different self-scales of the Affective Perception Inventory (API)--descriptive of academic settings--were administered to students in grades one through twelve, their peers, and their teachers. Within a multitrait-multimethod formulation, the scores yielded high internal…
Descriptors: Age Differences, Educational Environment, Elementary Secondary Education, Multivariate Analysis
Smith, Philip L.; Kane, Michael – 1981
The aims of this study were: (1) to review and discuss alternatives for evaluating members of a set of scores which may be interpreted independently as contributing to a composite score, or as a member of a profile and (2) to examine multivariate generalizability theory, as suggested by Joe and Woodward, applied to student course/instructor…
Descriptors: Course Evaluation, Item Analysis, Multivariate Analysis, Postsecondary Education
Huberty, Carl J.; Smith, Jerry D. – 1980
Linear classification functions (LCFs) arise in a predictive discriminant analysis for the purpose of classifying experimental units into criterion groups. The relative contribution of the response variables to classification accuracy may be based on LCF-variable correlations for each group. It is proved that, if the raw response measures are…
Descriptors: Analysis of Covariance, Classification, Correlation, Criteria
Saul, Peter N. – Organization and Administrative Sciences, 1977
Available from the Comparative Administration Research Institute, Kent State University, Kent, Ohio 44242; $15.00 annually. (IRT)
Descriptors: Job Satisfaction, Models, Multivariate Analysis, Organizational Effectiveness
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