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Wright, Logan; Wyant, Kerry – Educational and Psychological Measurement, 1974
Descriptors: College Students, Factor Analysis, Factor Structure, Personality Measures
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von Davier, Matthias; DiBello, Lou; Yamamoto, Kentaro – ETS Research Report Series, 2006
Models for cognitive diagnosis have been developed as an attempt to provide more than a single test score from item response data. Most approaches are based on a hypothesis that relates items to underlying skills. This relation takes the form of a design matrix that specifies for each cognitive item which skills are required to solve the item and…
Descriptors: Models, Cognitive Measurement, Scores, Factor Analysis
Panackal, Abraham A.; Sockloff, Alan L. – Measurement and Evaluation in Guidance, 1975
The factor structures of the College Student Questionnaire were investigated for three large samples of freshmen. The results demonstrated the variety of information contained in these instruments and questioned the choice of some items used in the suggested scales. (Author)
Descriptors: Attitudes, College Students, Factor Analysis, Factor Structure
Choca, James; And Others – 1989
The factor analytic studies that have been done with the Millon Clinical Multiaxial Inventory (MCMI), a 175-item paper-and-pencil test designed to evaluate symptomology in psychiatric patients, have been problematic in that the test's high inter-scale correlation could lead to an artificially robust factor structure. The present investigation…
Descriptors: Factor Analysis, Factor Structure, Patients, Personality Assessment
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Sawilowsky, Shlomo; Blair, R. Clifford – 1987
This study examined the Type I error and power properties of the rank transform test when employed in the context of a balanced 2x2x2 fixed effects analysis of variance (ANOVA). Computer generated Monte Carlo methods were used to compare the Type I error and power properties to those used in the usual test. The results showed the rank transform…
Descriptors: Analysis of Variance, Factor Analysis, Monte Carlo Methods, Power (Statistics)
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Jackson, Douglas N.; Morf, Martin E. – Multivariate Behavioral Research, 1974
A method is proposed and illustrated for estimating the degree to which a factor rotation to a hypothesized target represents an improvement over rotation to a random target. (Author)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Matrices
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Lund, Thorleif – Multivariate Behavioral Research, 1974
It is shown that the Stone-Coles method is not a content method, but rather an alternative to the ordinary distance methods. As such, it is argued, it is of limited value. (Author)
Descriptors: Distance, Factor Analysis, Goodness of Fit, Multidimensional Scaling
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Samejima, Fumiko – Psychometrika, 1974
Descriptors: Factor Analysis, Latent Trait Theory, Matrices, Models
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Plass, Howard; And Others – Educational and Psychological Measurement, 1974
Descriptors: Creativity Tests, Factor Analysis, Grade 6, Task Analysis
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Guilford, Joan S. – Journal of Genetic Psychology, 1974
This study investigated the developmental trends in the personal values systems of elementary school students. The Values Inventory for Children was used as the measurement basis. (DP)
Descriptors: Age Differences, Elementary School Students, Factor Analysis, Personality Development
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Katzenmeyer, William G.; Stenner, A. Jackson – Educational and Psychological Measurement, 1975
The problem of demonstrating replicability of factor structure across random variables is addressed. Procedures are outlined which combine the use of random subsample replication strategies with the correlations between factor score estimates across replicate pairs to generate a coefficient of replicability and confidence intervals associated with…
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
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Barcikowski, Robert S.; Stevens, James P. – Multivariate Behavioral Research, 1975
Results showed that the canonical correlations are very stable upon replication. The results also indicated that there is no solid evidence for concluding that components are superior to the coefficients, at least not in terms of being more reliable. (Author/BJG)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
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Lienert, G. A.; Krauth, J. – Educational and Psychological Measurement, 1975
Configural frequency analysis (CFA), a new method for identifying types, is illustrated numerically. Relations to latent class analysis and to factor analysis are discussed. It is suggested to use CFA as a type-defining method instead of factor analysis if the variables are linked not only by first but also by higher-order associations. (RC)
Descriptors: Classification, Factor Analysis, Hypothesis Testing, Mathematical Models
Hilsendager, Donald; and others – Percept Mot Skills, 1969
Descriptors: Factor Analysis, Perceptual Motor Coordination, Physical Activities, Physical Fitness
LINDSEY, HERBERT H.; AND OTHERS – 1962
USEFUL MEANS OF ANTICIPATING THE MOVEMENTS OF MIGRANT CHILDREN INCLUDE ANALYSIS OF CROPS, THE HARVESTING OF WHICH REQUIRES OUT-OF-STATE WORKERS, DISTRIBUTIONAL MAPS OF CROP ACREAGE, NORMAL TIME SCHEDULES FOR CROPS, AND INFORMATION ON AGRICULTURAL DEVELOPMENTS. SUCH INFORMATION ASSISTS IN THE PLANNING OF SCHOOL PROGRAMS. IN WISCONSIN, MOST MIGRANT…
Descriptors: Bibliographies, Demography, Factor Analysis, Migrant Children
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