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Paden, Patricia – Educational and Psychological Measurement, 1981
Thurstone's primary mental abilities (1938/1968) involving 57 tests were factor analyzed to produce a comprehensive hierarchical model. Kaiser's varimax solution for primary mental abilities served as the raw data for this study. (Author/GK)
Descriptors: Cognitive Ability, Factor Analysis, Models
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Swaminathan, Hariharan; Algina, James – Psychometrika, 1978
The notion of scale freeness does not seem to have been well understood in the factor analytic literature. Misconceptions concerning scale-freeness are clarified, and a theorem that ensures scale freeness in the orthogonal factor model is given in this paper. (Author/JKS)
Descriptors: Factor Analysis, Psychometrics, Technical Reports
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Archer, Claude O.; Jennrich, Robert I. – Psychometrika, 1976
The validity of asymptotic results for the distribution of unrotated and rotated factor loadings is investigated via simulation techniques. In particular, principal component extraction and quartimax rotation are examined on a problem with thirteen variables. The asymptotic results appear to be quite good. (Author/JKS)
Descriptors: Factor Analysis, Orthogonal Rotation, Simulation
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Silverstein, A. B. – Educational and Psychological Measurement, 1977
The intercorrelations among the twelve subtests of the WISC were analyzed for each of eleven age groups in the standardization sample, using the principal factor method. Both the two and three factor solutions are assessed using the coefficient of congruence. (Author/JKS)
Descriptors: Factor Analysis, Intelligence, Intelligence Tests
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Ownby, Raymond L.; Wallbrown, Fred H. – Measurement and Evaluation in Counseling and Development, 1991
Reanalyzed data matrix of previous study (Ownby and Murray, 1982) of parenting behavior. Results of hierarchical factor analysis of parent behaviors showed 10 primary factors, 5 secondary factors, 2 tertiary factors, and 1 general factor. Showed that hierarchical organization of factors of parent behavior can be demonstrated and can help to…
Descriptors: Factor Analysis, Parent Child Relationship
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Kiers, H. A. L.; ten Berge, Jos M. F. – Psychometrika, 1994
Procedures for oblique rotation of factors or principal components typically focus on rotating the pattern matrix so that it becomes optimally simple. How the Harris and Kaiser independent cluster (1964) rotation can be modified to obtain a simple weights matrix rather than a simple pattern is described and illustrated. (SLD)
Descriptors: Equations (Mathematics), Factor Analysis, Matrices
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Krijnen, Wim P.; Dijkstra, Theo K.; Gill, Richard D. – Psychometrika, 1998
Gives sufficient and necessary conditions for the observability of factors in terms of the parameter matrices and a finite number of variables. Outlines five conditions that rigorously define indeterminacy and shows that (un)observable factors are (in)determinate, and extends L. Guttman's (1955) proof of indeterminacy to Heywood (H. Heywood, 1931)…
Descriptors: Factor Analysis, Factor Structure, Matrices
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Kiers, Henk A. L. – Psychometrika, 1997
Provides a fully flexible approach for orthomax rotation of the core to simple structure with respect to three modes simultaneously. Computationally the approach relies on repeated orthomax rotation applied to supermatrices containing the frontal, lateral, or horizontal slabs, respectively. Exemplary analyses illustrate the procedure. (Author/SLD)
Descriptors: Factor Analysis, Factor Structure, Matrices
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Murakami, Takashi; ten Berge, Jos M. F.; Kiers, Henk A. L. – Psychometrika, 1998
In three-mode principal components analysis, the P x Q x R core matrix "G" can be transformed to simple structure before it is interpreted. This paper shows that, when P=QR-1, G can be transformed to have nearly all the elements equal to values specified a priori. A closed-form solution for this transformation is offered. (SLD)
Descriptors: Factor Analysis, Matrices, Transformations (Mathematics)
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Schumacker, Randall E.; Beyerlein, Susan T. – Structural Equation Modeling, 2000
Used confirmatory factor analysis (CFA), hypothesized factors that were less than the number of variables, and then examined how well the intercorrelations were reproduced. Results help explain that the type of correlation matrix and estimation method affect factor loadings and fit functions. Suggests some alternative approaches. (SLD)
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis
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Schneeweiss, Hans – Multivariate Behavioral Research, 1997
A sufficient condition in terms of the unique variances of a common factor model is given for the results of factor analysis to come closer to those of principal components analysis. In general, vectors corresponding to loading matrices can be related to each other by a specific measure of closeness, which is illustrated. (SLD)
Descriptors: Factor Analysis, Factor Structure, Matrices
Joseph, Stephen; Alex Linley, P.; Harris, George James – Journal of Loss and Trauma, 2005
Growing interest in positive change following trauma and adversity has prompted the development of a number of different labels and measurement instruments. This proliferation has led to some conceptual confusion, due to the different labels being used, and structural confusion, due to the different numbers of underlying factors proposed. The…
Descriptors: Measurement, Factor Analysis, Stress Variables
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Mundfrom, Daniel J.; Shaw, Dale G.; Ke, Tian Lu – International Journal of Testing, 2005
There is no shortage of recommendations regarding the appropriate sample size to use when conducting a factor analysis. Suggested minimums for sample size include from 3 to 20 times the number of variables and absolute ranges from 100 to over 1,000. For the most part, there is little empirical evidence to support these recommendations. This…
Descriptors: Simulation, Factor Analysis, Sample Size
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Dariotis, Jacinda K.; Bumbarger, Brian K.; Duncan, Larissa G.; Greenberg, Mark T. – Journal of Community Psychology, 2008
Widespread replications of evidence-based prevention programs (EBPPs) prompt prevention scientists to examine program implementation adherence in real world settings. Based on Chen's model (1990), we identified five key factors of the implementation system and assessed which characteristics related to program adherence. The sample included 32…
Descriptors: Evidence, Prevention, Program Implementation, Statistical Significance
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Murray, Christopher; Wren, Carol T.; Keys, Christopher – Learning Disability Quarterly, 2008
This investigation examined faculty attitudes, beliefs, and practices with regard to students with learning disabilities (LD). An instrument was designed to measure attitudes and administered to all faculty in a large urban, private university. Responses from 192 faculty members were subjected to an exploratory factor analysis; results indicated…
Descriptors: Learning Disabilities, Factor Analysis, Correlation, Attitudes toward Disabilities
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