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Cheung, Shu Fai; Chan, Darius K.-S. – Educational and Psychological Measurement, 2008
In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…
Descriptors: Effect Size, Academic Achievement, Meta Analysis, Correlation

Leckliter, Ingrid N.; And Others – Journal of Clinical Psychology, 1986
Reviews the factor analytic studies done on the 1981 Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization sample and various patient samples. Concludes that a three-factor solution appears to provide a source of hypotheses about an individual's or a select sample's unique abilities and weaknesses worthy of further exploration.…
Descriptors: Factor Analysis, Factor Structure, Statistical Studies
Horn, John L. – Educ Psychol Meas, 1969
Descriptors: Factor Analysis, Measurement Techniques, Statistical Studies
Cattel, R. B.; and others – Educ Psychol Meas, 1969
Descriptors: Evaluation Methods, Factor Analysis, Statistical Studies

Kane, Robert B.; Rudolph, William B. – Journal of Experimental Education, 1970
Descriptors: Congruence, Factor Analysis, Predictive Validity, Statistical Studies

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
Meyers, C. E. – Educ Psychol Meas, 1969
Descriptors: Factor Analysis, Predictive Measurement, Psycholinguistics, Psychometrics

Walkey, Frank H. – Educational and Psychological Measurement, 1986
A factor replication procedure (FACTOREP) was evaluated using four psychometrically equivalent synthetic correlation matrices containing an imposed three-subscale structure. Comparisons of the structure revealed by two, three, four, and nine-factor rotations using the FACTOREP showed that only the three factor solutions were replicable across all…
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices

Brokken, Frank B. – Psychometrika, 1985
A generalized congruence maximization procedure for the case of m matrices is presented. The orthogonal rotation procedure simultaneously maximizes the sums of all coefficients of congruence between corresponding factors of m factor matrices. (NSF)
Descriptors: Factor Analysis, Matrices, Orthogonal Rotation, Rating Scales

Cota, Albert A.; And Others – Educational and Psychological Measurement, 1993
Accuracy was compared for three methods of implementing parallel analysis with mean eigenvalues (regression, interpolation, and computation with three samples of random data). The accuracy of parallel analysis with 95th percentile eigenvalues (through regression and interpolation) was also considered. No evidence of differential accuracy emerged…
Descriptors: Comparative Analysis, Computation, Factor Analysis, Regression (Statistics)

Allen, Stuart J.; Hubbard, Raymond – Multivariate Behavioral Research, 1986
In order to make parallel analysis more accessible to researchers employing principal component techniques, regression equations are presented for the logarithms of the latent roots of random data correlation matrices with unities on the diagonal. (Author/LMO)
Descriptors: Correlation, Expectancy Tables, Factor Analysis, Matrices

Velicer, Wayne F.; Fava, Joseph L. – Multivariate Behavioral Research, 1987
Principal component analysis, image component analysis, and maximum likelihood factor analysis were compared to assess the effects of variable sampling. Results with respect to degree of saturation and average number of variables per factor were clear and dramatic. Differential effects on boundary cases and nonconvergence problems were also found.…
Descriptors: Analysis of Variance, Factor Analysis, Mathematical Models, Matrices

Skinner, C. J. – Psychometrika, 1986
The extension of regression estimation and poststratification to factor analysis is considered. These methods may be used either to improve the efficiency of estimation or to adjust for the effects of nonrandom selection. The estimation procedure may be formulated in a LISTREL framework. (Author/LMO)
Descriptors: Estimation (Mathematics), Factor Analysis, Mathematical Models, Matrices
McDonald, Roderick P.; Mulaik, Stanley A. – 1978
If the factor loadings of a core set of variables (fitting the general factor model) are the same when analyzed alone, and when analyzed along with the rest of the variables in an infinite behavior domain, there is only one factor variable in the domain that is a possible factor variable of the core set. If the condition of consistency of factor…
Descriptors: Cluster Analysis, Correlation, Factor Analysis, Models

Gardner, Robert C.; Erdle, Stephen – Educational and Psychological Measurement, 1986
This article evaluated criticisms by Stevens and Aleamoni (1986) of an article by Gardner and Erdle (1984) on aggregation using either raw or standard scores. It was demonstrated that their criticisms were unfounded. (Author)
Descriptors: Correlation, Factor Analysis, Raw Scores, Scores