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Peer reviewedWalberg, Herbert J. – American Educational Research Journal, 1971
Similarities between regression analysis and analysis of variance are noted and it is argued that the former has advantages over the latter. It is also argued that canonical correlation analysis is more suitable than factor analysis in certain cases. The argument is illustrated with four recent pieces of educational research. (DG)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Factor Analysis
Peer reviewedSilverman, Hirsch Lazaar – Scientia Paedagogica Experimentalis, 1970
Descriptors: Allied Health Personnel, Counselor Role, Disadvantaged Youth, Emotional Disturbances
Neaves, Alison I. – Brit J Disor Commun, 1970
Descriptors: Case Records, Educational Research, Emotional Adjustment, Factor Analysis
Ives, Lawrence A. – Brit J Disor Commun, 1970
Descriptors: Behavior Problems, Elementary School Students, Epilepsy, Factor Analysis
Shellhaas, Max D.; Nihira, Kazuo – Amer J Ment Deficiency, 1969
Descriptors: Antisocial Behavior, Disadvantaged Youth, Exceptional Child Research, Factor Analysis
Alumbaugh, Richard V.; and others – Educ Psychol Meas, 1969
Descriptors: Alcoholism, Behavior Rating Scales, Correlation, Discriminant Analysis
Peer reviewedFischer, Donald G.; And Others – Perceptual and Motor Skills, 1982
EEG correlates of intellectual functioning in academically handicapped and talented adolescents were investigated. Data from Ertl's Brainwave Analyzer were factor analyzed and used to predict verbal, numerical, reasoning, and spatial abilities and reading and mathematics achievement. Correlational patterns differed by group. Implications for…
Descriptors: Academic Achievement, Adolescents, Biomedical Equipment, Correlation
Peer reviewedHojat, Mohammadreza – Educational and Psychological Measurement, 1982
The psychometric characteristics of the revised UCLA Loneliness Scale in Iranian groups correlated significantly with measures of other conceptually-related variables such as depression, anxiety, and neuroticism. Factorial structure supported the multidimensionality of the scale. (Author/PN)
Descriptors: College Students, Factor Analysis, Foreign Students, Higher Education
Peer reviewedBluen, Stephen D.; Barling, Julian – Journal of Cross-Cultural Psychology, 1983
Examines the factor structure of the Survey of Work Values for a sample of White South African males. States that number of factors and item composition of factors differed from results of previous research due to cultural differences between South African and American samples. (CMG)
Descriptors: Cross Cultural Studies, Cultural Differences, Cultural Influences, Factor Analysis
Peer reviewedHale, Robert L. – Journal of School Psychology, 1983
The 10 subtests comprising the Wechsler Intelligence Scale for Children--Revised (WISC-R) were independently factor analyzed for middle (N=107) and low (N=158) socioeconomic status children. After testing for equivalence of covariance matrices between the two groups, coefficients of congruence between factors were calculated. These coefficients…
Descriptors: Children, Elementary Education, Elementary School Students, Factor Analysis
Peer reviewedKearney, Maureen J.; Kearney, James F. – Journal of Clinical Psychology, 1983
Investigated sex differences on the Adult Nowicki-Strickland Internal-External Control Scale using factor analysis of student scores (N=194). Three factors emerged for females and five for males. Comparison with other studies shows item consistency on the first two factors which were the same for both sexes. (Author/JAC)
Descriptors: Attribution Theory, College Students, Factor Analysis, Helplessness
Peer reviewedKnapp-Lee, Lisa; Michael, William B. – Educational and Psychological Measurement, 1983
This study (1) provided evidence concerning the construct validity of scales based on the clusters found in a revised, professional-level form of the California Occupational Preference System Interest Inventory and (2) examined the degree of internal consistency of the 16 newly devised subscales. (Author/PN)
Descriptors: Career Planning, Cluster Grouping, Correlation, Factor Analysis
Peer reviewedPiotrowski, Chris – Educational and Psychological Measurement, 1983
The present study compared the factor structures obtained when the same data were factor analyzed: (1) for the total sample (463 fifth grade students) and by sex for collapsed concepts, and (2) by individual concept for the total sample by sex, and for internal and external locus of control groups. (Author/PN)
Descriptors: Factor Analysis, Factor Structure, Individual Differences, Intermediate Grades
Rogers, Weaver B., Jr.; Westbrook, Bert W. – Measurement and Evaluation in Guidance, 1983
Used a modified multitrait-multimethod matrix approach to examine the construct validity of the Career Decision Scale for 175 male college students. The results of the investigation provided evidence supporting the construct validity of the Career Decision Scale. (Author/JAC)
Descriptors: Career Choice, Cognitive Ability, College Students, Counseling Techniques
Peer reviewedBledsoe, Joseph C. – Perceptual and Motor Skills, 1983
A factor analysis of responses from 44 female teachers to the Bem Sex-Role Inventory yielded two factors, Masculinity and Femininity accounting for 20.7 and 16.2 percent, respectively, of the common variance. Twenty-eight of 40 items performed as hypothesized while 12 items were not associated with masculine or feminine roles. (Author/RD)
Descriptors: Androgyny, Behavior Rating Scales, Factor Analysis, Factor Structure


