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Peer reviewedWaldman, David A.; And Others – Educational and Psychological Measurement, 1982
A factor analysis was performed on data from the University Residence Environmental Scales (URES). Although 10 meaningful factors were derived, only 50 of the original items were retained as marker items. Only 36 percent of the variance was accounted for by the 10 factors. (Author/BW)
Descriptors: Affective Measures, College Environment, Dormitories, Factor Analysis
Peer reviewedResnick, Harvey; And Others – Journal of Counseling Psychology, 1982
Investigated the prevalence and correlates of math anxiety among college freshmen (N=1,045) and studied its dimensionality based on one measure of math anxiety, the Math Anxiety Rating Scale (MARS). Results indicated most college freshmen reported low levels of math anxiety and that there were no large sex differences. (Author)
Descriptors: Academic Achievement, College Students, Factor Analysis, Higher Education
Peer reviewedHeppner, P. Paul; Petersen, Chris H. – Journal of Counseling Psychology, 1982
Examines the dimensions underlying the applied problem-solving process and describes the development of a problem-solving instrument based on factor-analysis results. Delineates initial reliability and validity estimates of the instrument. Discusses future research implications and provides a research instrument easily administered and scored.…
Descriptors: College Students, Factor Analysis, Measures (Individuals), Problem Solving
Peer reviewedLoo, Robert; Logan, Pamela – Journal of Psychology, 1981
Three studies examined change dimensions in self-reported anxiety among college students. Studies 1 and 2 (N=86, N=91) focused on interindividual change patterns as obtained in state- and trait-anxiety scales respectively. Study 3 (N=2) dealt with intraindividual change patterns. The State-Trait Anxiety Inventory A-Scale was used in all three…
Descriptors: Adults, Anxiety, Change, College Students
Peer reviewedGully, Kevin J.; And Others – Journal of Marriage and the Family, 1982
Employed a two-factor analysis of variance design to investigate gender differences in recollections of parent-to-parent violence. In two samples females reported more parent-to-parent violence than males. These differences occured independently of self-reported histories of the subjects' own violence. (Author)
Descriptors: College Students, Factor Analysis, Family Problems, Family Relationship
Peer reviewedMarshall, Sandra J.; Wijting, Jan P. – Sex Roles: A Journal of Research, 1982
Factor analysis of data from two samples identified nine indices of women's career orientation. Two factors accounted for significant variance common to the indices: career centeredness, which reflects the importance attached to a career relative to other life activities, and career commitment, which implies a commitment to lifetime employment.…
Descriptors: Career Choice, Career Planning, College Students, Employed Women
Peer reviewedAdams, John R.; Lawrence, Frederick P. – Sex Roles: A Journal of Research, 1982
Variables from an earlier study on the attitudes of women entering into previously male-dominated military craft occupations were factor analyzed to construct and validate measurement scales for role stereotypes and socialization factors. The analysis supports previous findings of a relationship between perceived job performance and stereotyped…
Descriptors: Attitude Measures, Employed Women, Enlisted Personnel, Factor Analysis
Peer reviewedCain, Pamela S.; Treiman, Donald J. – American Sociological Review, 1981
Provides information regarding the production and properties of the Dictionary of Occupational Titles (DOT) data to facilitate the assessment of their appropriateness for research. Reports on assessments of validity and reliability, a factor analysis of characteristics, and possible sex bias. Cautions about using the DOT to study changes in…
Descriptors: Employment Opportunities, Factor Analysis, Job Analysis, Job Skills
Peer reviewedSharpley, C. F.; Cross, D. G. – Journal of Marriage and the Family, 1982
Examined one instrument devised to classify respondents for research purposes into high and low marital or dyadic adjustment groups. Data indicated that, while the overall scale performs the task reliably, the majority of its 32 items are unnecessary. Factor analysis revealed that there was one underlying "adjustment" dimension. (Author)
Descriptors: Adjustment (to Environment), Factor Analysis, Foreign Countries, Marriage
Peer reviewedHumphreys, Lloyd G.; Park, Randolph K. – Intelligence, 1981
The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)
Descriptors: Analysis of Covariance, Analysis of Variance, Factor Analysis, Factor Structure
Peer reviewedInman, William C.; Secrest, Barbara T. – Intelligence, 1981
A hierarchical factor solution was obtained from a psychometrized battery of Piagetian-type tasks individually administered to 660 kindergarten children. The first two levels of factors included Piagetian theoretical entities. A third level factor was identified as a g. The association of Piagetian tasks with academic achievement was through the g…
Descriptors: Academic Achievement, Cognitive Development, Cognitive Measurement, Correlation
Peer reviewedPezaro, Peter E. – Journal of Research in Science Teaching, 1982
Lists six problems related to descriptive data and to factor analysis performed in a previous research study reported in this journal. Includes the authors' response to the suggested weaknesses of their study. (JN)
Descriptors: Cognitive Tests, Factor Analysis, Research Methodology, Research Problems
Peer reviewedJepsen, David A.; Prediger, Dale J. – Journal of Vocational Behavior, 1981
Assessed dimensions of adolescent career development using several well-established, objectively scored instruments. Attention was given to the correlations between measures of academic achievement and career development. Correlations among 19 scales administered to (N=237) 11th graders revealed three clusters of converging scale pairs, labeled…
Descriptors: Academic Achievement, Adolescents, Career Development, Correlation
Peer reviewedReynolds, Thomas J. – Educational and Psychological Measurement, 1981
Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Item Analysis
Peer reviewedWikoff, Richard L. – Journal of Consulting and Clinical Psychology, 1978
Determines the number of factors measured by the Peabody Institute Achievement Test (PIAT) subtests and the extent to which subtests measured the factors found. Results indicate only two factors: word recognition, and school-related knowledge. Use of PIAT as a separate test in a battery containing the WISC-R is supported. (Author/BEF)
Descriptors: Achievement Tests, Children, Cognitive Development, Correlation


