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Centra, John A. – Journal of Educational Psychology, 1972
Three methods of assessing college environment (student perceptions, student self-reports, and objective institutional data) were compared by use of multimethod factor analysis, a new technique which removes method variance by focusing on correlations between rather than within methods of measurement. (CK)
Descriptors: College Environment, Comparative Analysis, Evaluation Methods, Factor Analysis
Lunneborg, Clifford; And Others – Educ Psychol Meas, 1970
Descriptors: Aptitude Tests, Community Colleges, Factor Analysis, Factor Structure

Mood, Alexander M. – American Educational Research Journal, 1971
Descriptors: Analysis of Variance, Factor Structure, Interaction, Learning

Hakstian, A. Ralph – Psychometrika, 1971
The oblimax, promax, maxplane, and Harris-Kaiser techniques are compared. (Author)
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure

McGue, Matt; And Others – Learning Disability Quarterly, 1982
The usefulness of the Woodcock-Johnson Psycho-Educational Battery (W-J) to assess learning disabled (LD) children was assessed. The W-J factor clusters could not be replicated with this LD sample, and little evidence was found of the validity of either the cognitive factor clusters or the aptitude factor clusters. (Author/SEW)
Descriptors: Achievement Tests, Cognitive Tests, Factor Structure, Interest Inventories

Streissguth, Ann Pytkowicz; And Others – Child Development, 1983
Maternal alcohol use in mid-pregnancy was significantly related to poorer habituation and increased low arousal in newborn infants, even after adjusting for smoking and caffeine use by mothers, maternal age and nutrition during pregnancy, sex and age of the infant, and obstetric medication. (Author/RH)
Descriptors: Alcoholic Beverages, Arousal Patterns, Drinking, Factor Structure

Hafer, Marilyn; And Others – Educational and Psychological Measurement, 1983
Data from the responses of 104 medical and rehabilitation students to the Attitudes toward Disabled Persons Scale-Form B (ATDP-B) were factor analyzed using a principal components solution, with particular attention to the problem of the number of factors to retain. Research supports ATDP-B use as a unidimensional measure. (Author/PN)
Descriptors: Attitude Measures, Attitudes toward Disabilities, Data Analysis, Disabilities

Corrigan, John D.; Schmidt, Lyle D. – Journal of Counseling Psychology, 1983
Revised the Counselor Rating Form (CRF) creating the Counselor Rating Form-Short version (CRF-S). Tested reliability and validity of the CRF-S. Results indicated reliabilities of CRF-S scales were comparable to those for the CRF. Factor analytic comparison showed three correlated factors corresponding to the attractiveness, expertness, and…
Descriptors: Counselor Performance, Credibility, Factor Analysis, Factor Structure

Cotter, Kay Lillig; Raju, Nambury S. – Educational and Psychological Measurement, 1982
Eight formula-based estimates of population squared cross-validity and nine estimates of factor scores were compared with estimates from the conventional cross-validation procedure. Burket's and Rozeboom's formula-based estimates of population squared cross-validity in combination with a factor score method offer the most for practitioners…
Descriptors: Adults, Attitude Measures, Correlation, Estimation (Mathematics)

Groff, M.; Hubble, L. – Journal of Consulting and Clinical Psychology, 1982
Factor analyzed Wechsler Intelligence Scale for Children-Revised scores of low-IQ youths aged 9-11 and 14-16. Extracted Verbal Comprehension, Perceptual Organization and Freedom From Distractibility dimensions for each group. Coefficients of congruence indicated the two age groups were not similar on the Freedom From Distractibility factor.…
Descriptors: Adolescents, Age Differences, Children, Comparative Analysis

O'Leary, Susan G.; Steen, Patricia L. – Journal of Consulting and Clinical Psychology, 1982
Using three samples of children--a heterogeneous group, a hyperactive group, and a replication sample of hyperactive children--evaluted the Stony Brook Scale (SBS). Results indicated the SBS independently assessed hyperactivity and aggression in samples of hyperactive children. (Author/RC)
Descriptors: Aggression, Behavior Rating Scales, Children, Classification

Blaha, John; Wallbrown, Fred H. – Journal of Consulting and Clinical Psychology, 1982
Obtained a hierarchical factor solution on the Wechsler Adult Intelligence Scale-Revised (WAIS-R) subtest intercorrelations for the nine age groups included in the standardization sample. Findings support the validity of the WAIS-R as a measure of general intelligence and the validity of maintaining separate Verbal and Performance IQs. (Author)
Descriptors: Adults, Age Differences, Factor Structure, Intelligence Differences

Eagleton, Cliff; Cogdell, Roy – Educational Research Quarterly, 1980
Leadership repertoires of public school superintendents are analyzed in terms of the Humanistic Leadership Model. Factor analysis was used to uncover four leadership dimensions. (Author/RL)
Descriptors: Administrative Principles, Administrator Role, Elementary Secondary Education, Factor Structure

Spanier, Graham B.; Thompson, Linda – Journal of Marriage and the Family, 1982
Evaluated the dyadic adjustment scale by reconsidering the factor structure of the scale and its subscales using a maximum likelihood, confirmatory factor-analysis procedure. Studied a new sample from the same geographical area. High reliability was confirmed for the overall scale. (Author)
Descriptors: Adjustment (to Environment), Divorce, Evaluation Criteria, Factor Structure

Revicki, Dennis – Educational and Psychological Measurement, 1981
This study tests the degree of factor invariance and factor structure replicability of the Family Environment Interview Schedule. Samples of families from different locations were used. Four interpretable factors were derived. Evidence suggests that the four factor solution was invariant across both samples with an identical factor structure.…
Descriptors: Children, Cognitive Development, Educational Environment, Factor Analysis