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Bailey, John P., Jr.; Guertin, Wilson H. – Educ Psychol Meas, 1970
A significant difference among rotation procedure is found in their ability to achieve stability across the sample test batteries. (CK)
Descriptors: Data Analysis, Factor Analysis, Oblique Rotation, Statistical Analysis
Peer reviewedForslund, Morris A.; Malry, Lenton – NASSP Bulletin, 1970
Descriptors: Data Analysis, Occupational Aspiration, Social Class, Tables (Data)
Peer reviewedBartels, Martin H. – Educational Forum, 1971
Descriptors: Data Analysis, Tables (Data), Teacher Supply and Demand
Peer reviewedYamashita, Pearl N. – Educational Perspectives, 1969
Descriptors: Beginning Teachers, Data Analysis, Data Collection, Educational Programs
Barnes, James A.; McKenny, Charles J. – J Educ Res, 1970
Descriptors: Audiovisual Aids, Data Analysis, Educational Research, Maps
Heald, Mark A. – Amer J Phys, 1969
Descriptors: Algorithms, Data Analysis, Least Squares Statistics, Mathematics
Peer reviewedTate, Richard L. – Multivariate Behavioral Research, 1983
The use of generalized discriminant analysis as a descriptive technique which can be employed outside of the traditional analysis of variance studies is discussed. Examples based on real data are provided. (Author/JKS)
Descriptors: Data Analysis, Discriminant Analysis, Multivariate Analysis, Statistical Studies
Peer reviewedThorndike, Robert M.; Weiss, David J. – Multivariate Behavioral Research, 1983
Three potential applications of stepwise procedures in canonical analysis and several alternative stepping decision rules are described. Results of an empirical investigation of the procedures indicated that more parsimonious approaches to maintaining variables held up better under cross-validation. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multivariate Analysis, Regression (Statistics)
Peer reviewedDong, Hei-Ki – Perceptual and Motor Skills, 1982
An alternative procedure for converting the multidimensional rank-order data for multidimensional scaling is suggested. Data are converted into triad-comparison data from which the proximities are obtained for multidimensional scaling. (Author/CM)
Descriptors: Comparative Analysis, Data Analysis, Multidimensional Scaling, Research Methodology
Peer reviewedDunn, Terrence R.; Harshman, Richard A. – Psychometrika, 1982
The kinds of individual differences in perceptions permitted by the weighted euclidean model for multidimensional scaling are more restrictive than those allowed by models developed by Tucker or Carroll. It is shown how problems which occur when using the more general models can be removed. (Author/JKS)
Descriptors: Data Analysis, Individual Differences, Mathematical Models, Multidimensional Scaling
Peer reviewedTyler, David E. – Psychometrika, 1982
The index of redundancy is a measure of association between a set of independent variables and a set of dependent variables. Properties and interpretations of redundancy variables, in a particular subset of the original variables, are discussed. (JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, Multivariate Analysis
Seba, Douglas B.; Smith, Pat – Database, 1982
Discusses database design concept termed "normalization" (process replacing associations between data with associations in two-dimensional tabular form) which results in formation of relational databases (they are to computers what dictionaries are to spoken languages). Applications of the database in serials control and complex systems…
Descriptors: Data Analysis, Data Processing, Databases, Online Systems
Peer reviewedBurnett, Michael F.; Parmley, John D. – Journal of Vocational Education Research, 1982
This article examines the use of the statistical technique of log-linear analysis in the field of vocational education. It introduces the technique and provides a step-by-step example of the log-linear procedure in the analysis of qualitative data. Advantages and limitations of the technique are also discussed. (Author)
Descriptors: Data Analysis, Research Methodology, Statistical Analysis, Vocational Education
Peer reviewedJanson, Svante; Vegelius, Jan – Multivariate Behavioral Research, 1982
The problem of correlating variables from different scale types is discussed. A general correlation coefficient, based on symmetrization theory, is derived. The coefficient is invariant over permitted transformations of the variables for their respective (possibly nonequivalent) scale types. (Author/JKS)
Descriptors: Correlation, Data Analysis, Research Problems, Scaling
Peer reviewedShapiro, Alexander – Psychometrika, 1982
The extent to which one can reduce the rank of a symmetric matrix by only changing its diagonal entries is discussed. Extension of this work to minimum trace factor analysis is presented. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices


