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Shields, Lawrence – Educational Research, 1972
Results indicate that students who have attended single-sex girls' schools and then proceed to an all women's college do not make as much progress toward maturity as other college students from co-educational schools. (Author/MB)
Descriptors: Analysis of Variance, College Students, Criterion Referenced Tests, Factor Analysis
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Meredith, Keith E.; And Others – Journal of Medical Education, 1982
Factor analysis was used to examine underlying structures for both admission and clinical performance measures. Multiple regression showed that admission interview comments best predict narrative clerkship performance, while objective scores best predict an objective measure of clinical knowledge. (Author/MLW)
Descriptors: Academic Achievement, Admission Criteria, Clinical Experience, College Admission
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Marsh, Herbert W. – Educational and Psychological Measurement, 1983
This study compares multitrait-multimethod analyses (MTMM) performed on items and factor scores derived from the items. Based upon this demonstration, researchers are encouraged to conduct a preliminary factor analysis before analyzing MTMM data whenever there is a doubt about the underlying trait structure. (Author/PN)
Descriptors: Factor Analysis, Higher Education, Item Analysis, Measurement Techniques
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Eagle, Norman – Review of Higher Education, 1982
What happens to student ratings of instruction after instructors are promoted from one professorial rank to another, and what happens when faculty exhaust all material incentives, acquiring both tenure and the highest academic rank? These questions are examined and instructor rating questionnaire is provided. (MLW)
Descriptors: College Faculty, Factor Analysis, Faculty Evaluation, Faculty Promotion
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Marsh, H. W. – British Journal of Educational Psychology, 1982
Describes research leading to the development of SEEQ (Students' Evaluations of Educational Quality), a program which collects college students' evaluations of teacher effectiveness. Three tables, a 29-item reference list, and appendices outlining the information contained in the SEEQ survey and in the SEEQ summary report are included. (JL)
Descriptors: College Faculty, College Students, Evaluation Methods, Factor Analysis
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Meredith, Gerald M. – Perceptual and Motor Skills, 1983
Two brief scales were proposed to assess effectiveness of teaching in laboratory and seminar/discussion group classes. (Author)
Descriptors: College Students, Course Evaluation, Discussion Groups, Factor Analysis
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Gruenberg, Barry – American Behavioral Scientist, 1983
Using a stepwise multiple regression analysis of data from a 1964-1965 national urban sample, the author identifies the social and demographic variables that best help to predict each of six factor-analytically derived dimensions of leisure activity. (Author/RM)
Descriptors: Behavioral Science Research, Demography, Factor Analysis, Leisure Time
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Reichel, Arie; And Others – Research in Higher Education, 1981
Using 276 students from Boston University and the University of Massachusetts at Amherst, the relationships between types of students and their work values and motivational profiles were investigated by means of factor and discriminant analyses. The vocational model is contrasted with the collegiate, nonconformist, and academic groups. (Author/MLW)
Descriptors: Academic Achievement, Discriminant Analysis, Factor Analysis, Higher Education
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Zarske, John A.; And Others – Psychology in the Schools, 1981
Wechsler Intelligence Scale for Children (Revised) (WISC-R) factor structures were compared for learning disabled Navajo and Papago children. Results support the validity of the WISC-R as a measure of general intellectual functioning, and verbal and performance aspects for both groups, indicating its appropriateness for diverse groups of children.…
Descriptors: American Indians, Comparative Analysis, Culture Fair Tests, Elementary School Students
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Humphreys, Lloyd G.; And Others – Journal of Educational Measurement, 1979
School means of 59 cognitive variables were analyzed along with mean socioeconomic status and 19 high school variables. When the intercorrelations of school means were factor analyzed, it was clear that the social selection of students for schools operates almost entirely on the general factor in human intelligence. (Author/CTM)
Descriptors: Admission Criteria, Cognitive Tests, Factor Analysis, High Schools
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Jones, Robert F.; Thomae-Forgues, Maria – Journal of Medical Education, 1981
The old Medical College Admission Test (MCAT) and the New MCAT were compared by factor-analyzing the scores of a sample of 1,484 examinees who took both tests during 1976-77. Three common factors are interpreted: a general science quantitative factor, verbal ability, and interpretation skills. Variances are noted and implications of the data for…
Descriptors: College Admission, College Entrance Examinations, Comparative Analysis, Factor Analysis
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Gutkin, Terry B.; Reynolds, Cecil R. – Journal of Educational Psychology, 1981
To test the validity of the Wechsler Intelligence Scale for Children-Revised (WISC-R) for minority groups, factorial similarity across race was investigated with separate principal-factor analyses for White and Black children from the nationally representative WISC-R standardization sample. On every measure, the White and Black groups were highly…
Descriptors: Analysis of Variance, Black Youth, Elementary Secondary Education, Factor Analysis
Neale, Marie D.; And Others – Exceptional Child, 1979
A multivariate analysis of variance, using three factors obtained from a preschool developmental index (Neale Scales) as the dependent variables, and group membership based on subsequent longitudinal reading performance as the independent variables, resulted in a significant multivariate F for a sample of 204 kindergarten children. (Author/SBH)
Descriptors: Early Childhood Education, Exceptional Child Research, Factor Analysis, Longitudinal Studies
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Glass, Gene V.; Stephens, Beth – Intelligence, 1980
Relationships among Piagetian reasoning assessments and standard measures of intelligence and achievement were determined in 1972 by Stephens, McLaughlin, Miller, and Glass (EJ 055 112). The data were reanalyzed by Humphreys and Parsons in 1979 (EJ 218 642). In reply, Glass and Stephens note fallacies in Humphreys' and Parsons' reasoning.…
Descriptors: Achievement Tests, Cognitive Development, Cognitive Measurement, Cognitive Processes
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Dillon, Roy D. – Journal of the American Association of Teacher Educators in Agriculture, 1977
Data from a 1-year survey of 40 vocational agriculture teachers in Nebraska are presented in narrative analyses and in six tables showing man hours worked: (1) By 27 duty categories, (2) based on student enrollment in vocational agriculture programs, (3) based on number of students in FFA, (4) according to conduct of young farmer classes, (5)…
Descriptors: Agricultural Education, Educational Research, Factor Analysis, Noninstructional Responsibility
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