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Peer reviewedThompson, William E.; Dodder, Richard A. – Adolescence, 1986
All seven variables of containment theory were operationalized for questionnaires. Data were collected from 677 adolescents in a variety of high schools and correctional institutions, and divided into categories by race and sex. Factor analysis indicated that the structure of the relationships among the seven containment variables and delinquency…
Descriptors: Adolescents, Correctional Institutions, Delinquency, Factor Analysis
Peer reviewedFowler, Patrick C. – Journal of Clinical Psychology, 1985
Presents a five-factor, structural model of the Personality Research Form-E for 140 university undergraduates. All factors demonstrated an excellent level of similarity to those previously reported for other forms of the PRF, as well as to the conceptual scheme developed by Jackson (1974). (Author/JAC)
Descriptors: College Students, Factor Analysis, Factor Structure, Higher Education
Peer reviewedO'Grady, Kevin E. – Journal of Consulting and Clinical Psychology, 1983
Analyzed the intercorrelations among the 11 subtests of the Wechsler Adult Intelligence Scale-Revised (WAIS-R) in the nine age groups in the normative sample. Results suggested that the factor structure underlying the WAIS-R is complex and that a large proportion of WAIS-R performance can be explained by a general intellectual factor. (LLL)
Descriptors: Cognitive Ability, Factor Analysis, Intelligence Tests, Item Analysis
Peer reviewedGellen, Murray I.; Hoffman, Roy A. – Measurement and Evaluation in Counseling and Development, 1984
Factor analyzed the item responses comprising each of the five external dimensions and the three internal dimensions of the Tennessee Self-Concept Scale. The results indicated that seven of the eight subscales are essentially single-factor scales. Implications for counseling are discussed. (Author)
Descriptors: Factor Analysis, Graduate Students, Higher Education, Psychotherapy
Peer reviewedMulaik, Stanley A. – Psychometrika, 1976
Discusses Guttman's index of indeterminacy in light of alternative solutions which are equally likely to be correct and alternative solutions for the factor which are not equally likely to be chosen. Offers index which measures a different aspect of the same indeterminacy problem. (ROF)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
Peer reviewedHakstian, A. Ralph – Psychometrika, 1976
Examples are presented in which it is either necessary or desirable to transform two sets of orthogonal axes to simple structure positions by means of the same transformation matrix. A solution is outlined which represents a two-matrix extension of the general "orthomax" orthogonal rotation criterion. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Orthogonal Rotation
Peer reviewedMontanelli, Richard G.; Humphreys, Lloyd G. – Psychometrika, 1976
In order to make the parallel analysis criterion for determining the number of factors in factor analysis easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
Winn, William – AV Communication Review, 1976
The study used a multivariate approach to examine the relationships between stimulus presentation mode and cognitive structure. (BD)
Descriptors: Association (Psychology), Factor Analysis, Media Research, Pictorial Stimuli
Pohlmann, John T.; Perkins, Kyle; Brutten, Shelia – 2002
Structural changes in an English as a Second Language (ESL) 30-item reading comprehension test were examined through principal components analysis on a small sample (n=31) of students. Tests were administered on three occasions during intensive ESL training. Principal components analysis of the items was performed for each test occasion.…
Descriptors: Adults, English (Second Language), Factor Analysis, Factor Structure
De Champlain, Andre – 1995
An approach that is currently gaining popularity in educational measurement is one that treats item response theory (IRT) as a special case of nonlinear factor analysis (NLFA). A brief overview is provided of some of the research that has examined the relationship between IRT and NLFA. Three NLFA models are outlined, emphasizing their major…
Descriptors: Educational Research, Factor Analysis, Item Response Theory, Measurement Techniques
Headrick, Todd C.; Vineyard, George – 2000
The Type I error and power properties of the parametric F test and three nonparametric competitors were compared in terms of 3 x 4 factorial analysis of covariance layout. The focus of the study was on the test for interaction either in the presence or absence of main effects. A variety of conditional distributions, sample sizes, levels of variate…
Descriptors: Analysis of Covariance, Evaluation Methods, Factor Analysis, Interaction
Tay-Lim, Brenda Siok-Hoon; Stone, Clement A. – 2000
This study explored two methods that are used to assess the dimensionality of item response data. The paper begins with a discussion of the assessment dimensionality and the use of factor-analytic procedures. A number of problems associated with using linear factor analyses to assess dimensionality are also considered. A procedure is presented for…
Descriptors: Constructed Response, Factor Analysis, Item Response Theory, Monte Carlo Methods
Peer reviewedBuss, Allan R. – Developmental Psychology, 1974
The concepts of quantitative and structural change are considered from a multivariate perspective. A hybrid of these two types of change, quantistructural change, is described. (CS)
Descriptors: Developmental Psychology, Factor Analysis, Mathematical Models, Multivariate Analysis
Peer reviewedBraun, P. H. – Human Development, 1973
Descriptors: Adult Development, Age, Attitudes, Factor Analysis
Peer reviewedFreeberg, N. E.; Rock, D. A. – Human Development, 1973
Dimensional continuity was examined in adolescents in grades 7, 9, and 11. Demonstrated changes in dimensional configurations raise challenging issues for longitudinal study practices that assume uniform interpretability of the same scales at differing developmental stages. (ST)
Descriptors: Adolescents, Behavior Development, Developmental Stages, Factor Analysis


