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Educational and Psychological…5
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Kaiser, Henry F.5
Cerny, Barbara A.3
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A Revised Measure of Sampling Adequacy for Factor-Analytic Data Matrices.
Peer reviewed Peer reviewed
Kaiser, Henry F. – Educational and Psychological Measurement, 1981
A revised version of Kaiser's Measure of Sampling Adequacy for factor-analytic data matrices is presented. (Author)
Descriptors: Correlation, Factor Analysis, Research Problems, Sampling
Factor Analysis of the Image Correlation Matrix.
Peer reviewed Peer reviewed
Kaiser, Henry F.; Cerny, Barbara A. – Educational and Psychological Measurement, 1979
Whether to factor the image correlation matrix or to use a new model with an alpha factor analysis of it is mentioned, with particular reference to the determinacy problem. It is pointed out that the distribution of the images is sensibly multivariate normal, making for "better" factor analyses. (Author/CTM)
Descriptors: Correlation, Factor Analysis, Matrices, Oblique Rotation
The Use of Bayes' Estimates in the Law of Comparative Judgment.
Peer reviewed Peer reviewed
Kaiser, Henry F. – Educational and Psychological Measurement, 1980
The use of Bayes' estimates for proportions in the Law of Comparative Judgment is suggested to avoid sample proportions of zero and one. (Author)
Descriptors: Bayesian Statistics, Comparative Analysis, Reliability, Statistical Analysis
On the Canonical Analysis of Contingency Tables.
Peer reviewed Peer reviewed
Kaiser, Henry F.; Cerny, Barbara A. – Educational and Psychological Measurement, 1980
A simplified mathematical and computational treatment of the canonical correlational analysis of two-way contingency tables is provided. (Author)
Descriptors: Multivariate Analysis
Teacher Ratings from Incomplete Student Ranking Data.
Peer reviewed Peer reviewed
Kaiser, Henry F.; Cerny, Barbara A. – Educational and Psychological Measurement, 1979
A method for obtaining teacher ratings from incomplete student ranking data is presented. The procedure involves finding the scores for the teachers on the first principal component of a student intercorrelation matrix, where the missing data are supplied by least squares. (Author)
Descriptors: Correlation, Data Analysis, Factor Analysis, Matrices