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DeHorn, Allan B.; And Others – Journal of Consulting and Clinical Psychology, 1979
Explores the utility of reciprocal two-point code type classifications of Personality Inventory for Children (PIC) profiles and evaluates a second classification scheme based upon groupings of empirically and conceptually similar PIC code types. Results indicate a profile classification strategy can be usefully applied to PIC protocols. (Author)
Descriptors: Age Differences, Children, Classification, Factor Analysis

Taylor, Philip L.; And Others – Adolescence, 1978
The self-report Imaginational Processes Inventory, originally devised for college students, was revised for use with high school students and administered to 181 ninth through eleventh graders. Reliability of the revised instrument was demonstrated. Score differences by sex and age (high school vs college) were analyzed. (Author/SJL)
Descriptors: Age Differences, College Students, Factor Analysis, High School Students
Lunneborg, Patricia W. – 1971
This study sought, through a factor analysis of 450 masculine-feminine (MF) items from nine established sources such as the Minnesota Multiphasic Personality Inventory (MMPI), to determine whether in a college sample of 523 students there were a small number of factors common to both sexes, or if the MF scale consisted of so many weak factors that…
Descriptors: College Students, Factor Analysis, Factor Structure, Females
Prediger, Dale J. – Measurement and Evaluation in Guidance, 1976
Holland hypothesized that personality pattern consistency is related to vocational satisfaction, stability, and success. The viability of this key construct in Holland's theory of careers is examined in light of the expected relationship between level of consistency and frequency of occurrence of 2-letter Holland personality codes. Results are…
Descriptors: Comparative Analysis, Factor Analysis, High School Students, Occupational Tests

O'Grady, Kevin E.; And Others – Multivariate Behavioral Research, 1979
Male and female undergraduate psychology students were administered the Adjective Check List, Bem Sex Role Inventory and Personal Attributes Questionnaire. The masculinity and femininity subscale scores for each of these three measures were correlated and subjected to a principal factor analysis with varimax rotation separately for males and…
Descriptors: Check Lists, Comparative Testing, Factor Analysis, Females

Fowler, Patrick C. – Journal of Clinical Psychology, 1986
Two confirmatory maximum likelihood factor analytic models of the Personality Research Form-E are presented and discussed for the men's and women's standardization data. Overall, the patterns of correlations within each data matrix are highly similar, but the factor patterns, factor intercorrelations, as well as the error variances, do differ.…
Descriptors: Factor Analysis, Factor Structure, Personality Traits, Sex Differences

Little, Craig B. – Journal of Genetic Psychology, 1977
Presents a study of the identification of distinct dimensions within Rotter's Internal-External Control Scale. Five hundred college seniors served as subjects. (BD)
Descriptors: College Students, Factor Analysis, Personality Measures, Research

Brown, Michael T.; Duren, Paula S. – Measurement and Evaluation in Counseling and Development, 1988
Employed confirmatory and exploratory factor analytic methods to test the hypothesis that Spielberger's revised four-factor model of anxiety was valid for characterizing the anxiety of Blacks. Administered the State-Trait Anxiety Inventory to 182 Black adults. Confirmed the state-trait assertion, but not the four-factor model of anxiety-present…
Descriptors: Anxiety, Blacks, Factor Analysis, Personality Measures

Tokar, David M.; Fischer, Ann R.; Snell, Andrea F.; Harik-Williams, Nahla – Measurement and Evaluation in Counseling and Development, 1999
Results of confirmatory and exploratory analyses of 485 nonstudent adults' (N=485) responses to the NEO Five-Factor Inventory indicate that a six-factor model best fit the data. Results show some empirical justification for using the NEO Five-Factor Inventory to assess clients' and research participants' core personality traits. (Author/MKA)
Descriptors: Adults, Data Analysis, Factor Analysis, Models

Marshall, Nancy J. – Multivariate Behavioral Research, 1974
The development of the Privacy Preference Scale is described. Six subscales were constructed from a principal axis factor analysis. The ability of the subscales to differentiate between age and sex groups, and their relationship to personality measures and to self-reported privacy oriented behavior are presented. (Author/RC)
Descriptors: Adults, Age Differences, Factor Analysis, Personality Measures

Stewart, Robert A. C. – Social Behavior and Personality, 1974
Because of the still imperfectly understood basic factor structure of the MMPI, a Principal Components Analysis and Varimax Rotation was conducted on the MMPI item responses of 50 female undergraduate students of Education at Massey University. Eight factors were extracted. (Author)
Descriptors: College Students, Factor Analysis, Females, Orthogonal Rotation
Cross, Herbert J. – J Consult Clin Psychol, 1969
Research supported by the University of Connecticut Research Foundation.
Descriptors: College Students, Factor Analysis, Factor Structure, Memory

Chansky, Norman M.; And Others – Educational and Psychological Measurement, 1972
Purpose of this study was to determine the reproduciblity of the RSAP factor structure in college samples. (Authors)
Descriptors: College Students, Factor Analysis, Factor Structure, Personality Measures

O'Grady, Kevin E.; Janda, Louis H. – Journal of Consulting and Clinical Psychology, 1979
This inventory measures sex guilt, hostility guilt, and morality-conscience guilt. Analyses indicate the appropriateness of a simple present-absent scoring system. Internal structure of each subscale is complex. Intercorrelations of scores are larger for males. (Author/BEF)
Descriptors: Adults, Behavior Rating Scales, Correlation, Factor Analysis

Pedhazur, Elazar J. – Psychological Reports, 1971
Descriptors: Attitudes, Difficulty Level, Dogmatism, Factor Analysis