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Hofmann, Richard J. – Multivariate Behavioral Research, 1978
Two measures of the number of factors that a variable should load on are discussed. One is Kaiser's simplicity index, the other is called a complexity index, developed by the author. Similarities and differences are discussed. (JKS)
Descriptors: Difficulty Level, Factor Analysis, Oblique Rotation, Orthogonal Rotation
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Halperin, Silas – Educational and Psychological Measurement, 1976
Component analysis provides an attractive alternative to factor analysis, since component scores are easily determined while factor scores can only be estimated. The correct method of determining component scores is presented as well as several illustrations of how commonly used incorrect methods distort the meaning of the component solution. (RC)
Descriptors: Factor Analysis, Mathematical Models, Matrices, Scores
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Eber, Herbert W. – Multivariate Behavioral Research, 1977
The best strategy for personality scale construction may be a utilitarian concept rather than a psychometric one. Some specific suggestions are given. (Author/JKS)
Descriptors: Factor Analysis, Personality Measures, Test Construction, Test Validity
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Humphreys, Lloyd G.; Parsons, Charles K. – Journal of Educational Psychology, 1977
The use of partial correlation methodology to control trait variance such as intelligence is criticized. Factor analysis is presented as the only methodology that can be used objectively and effectively with fallible measures to control trait variance. An example is presented. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Intelligence, Oblique Rotation
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Ten Berge, Jos M. F. – Psychometrika, 1977
Necessary and sufficient conditions for rotating matrices to maximal agreement in the least-squares sense are discussed. A theorem which solves the case of two matrices is given a more straightforward proof. Other considerations in rotating matrices are discussed. (Author/JKS)
Descriptors: Factor Analysis, Least Squares Statistics, Matrices, Orthogonal Rotation
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Keller, Eric – Journal of Speech and Hearing Research, 1987
Manipulation of speed of delivery and linguistic context followed by factor analysis of 11 measures of lingual activity involved in the production of the syllable /ka/ indicated three factors explained 75 percent of the variance: displacement/velocity, duration, and midsyllable duration and distance. (Author/DB)
Descriptors: Adults, Articulation Impairments, Factor Analysis, Linguistics
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Okamoto, Masashi; Ihara, Masamori – Psychometrika, 1983
A new algorithm to obtain the least squares solution in common factor analysis is presented. It is based on the up-and-down Marquadt algorithm developed by the present authors. Experiments in the use of the algorithm under various conditions are discussed. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Least Squares Statistics, Mathematical Models
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Otter, Pieter W. – Psychometrika, 1986
In this paper the parameter identifiability and estimation of a general dynamic structural model under indirect observation is considered from a system theoretic perspective. (Author/LMO)
Descriptors: Estimation (Mathematics), Factor Analysis, Mathematical Models, Statistical Studies
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Fuhriman, Addie; And Others – Small Group Behavior, 1986
Valuing of catharsis, cohesion, and insight by 161 group members in four settings community mental health (CMH), Veterans Administration, university counseling center, and group behavior class are reported. Results showed CMH group members value these factors more than other groups. Across all settings, cohesion and catharsis are valued higher…
Descriptors: Catharsis, Counseling, Counseling Effectiveness, Factor Analysis
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Aries, Elizabeth J.; Johnson, Fern L. – Sex Roles: A Journal of Research, 1983
Examined the relationship between traditional sex-role stereotypes about personality traits and children's judgments about themselves and their peers. Also investigated the development of androgynous orientations in children. (CMG)
Descriptors: Adults, Factor Analysis, Friendship, Sex Differences
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ten Berge, Jos M. F.; Knol, Dirk L. – Multivariate Behavioral Research, 1985
Constructing scales on the basis of components analysis by assigning weights 1 to variables with high positive loadings on the components and -1 to variables with high negative loadings was compared with other strategies of scale construction, which assign weights 1 or -1 to variables with high weights for the components. (Author/BW)
Descriptors: Correlation, Factor Analysis, Multivariate Analysis, Scaling
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Silver, Steven M.; Iacono, C. U. – Journal of Clinical Psychology, 1984
Found substantial support for DSM-III's criteria for Post-Traumatic Stress using 405 Vietnam combat veterans and suggested that depression and anger be included as major signs. A comparison of symptom intensity between Vietnam veterans and non-Vietnam veterans showed Vietnam veterans experienced significantly greater intensities of DSM-III…
Descriptors: Clinical Diagnosis, Depression (Psychology), Evaluation Criteria, Factor Analysis
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MacCallum, Robert – Psychometrika, 1983
Factor analysis programs in SAS, BMDP, and SPSS are discussed and compared in terms of documentation, methods and options available, internal logic, computational accuracy, and results provided. Based on these comparisons, preferences for SAS and against SPSS factor analysis programs are recommended. (Author/JKS)
Descriptors: Comparative Analysis, Computer Programs, Data Analysis, Factor Analysis
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Ziomek, Robert L.; And Others – Educational and Psychological Measurement, 1976
The Ross Educational Philosophical Inventory was psychometrically examined through the use of expert judges and factor analysis of a sample of responses to the inventory. Results are negative in general, but moderately positive results were found in relation to two of the four categories of the inventory. (JKS)
Descriptors: Educational Philosophy, Factor Analysis, Test Reliability, Test Validity
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Kruskal, Joseph B. – Psychometrika, 1976
Some methods that analyze three-way arrays of data (including INDSCAL and CANDECOMP/PARAFAC) provide solutions that are not subject to arbitrary rotation. This property is studied in this paper by means of the "triple product" (A, B, C) of three matrices. (Author)
Descriptors: Factor Analysis, Multidimensional Scaling, Oblique Rotation, Orthogonal Rotation
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