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Wood, Donald A.; Erskine, James A. – Educational and Psychological Measurement, 1976
A review of the development of canonical correlation is presented and insufficiencies in applications from the literature are summarized. A list of analytical procedures for use in canonical correlation is detailed. The relationship between analysis and interpretation is emphasized. An example is presented. (JKS)
Descriptors: Correlation, Multivariate Analysis, Predictor Variables, Research Methodology
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Curtis, Ervin W. – Educational and Psychological Measurement, 1985
A new approach to partialling components is used. Like conventional partialling, this approach orthogonalizes variables by partitioning the scores or observations. Unlike conventional partialling, it yields a common component and two unique components. (Author/GDC)
Descriptors: Correlation, Multivariate Analysis, Orthogonal Rotation, Predictive Validity
Peer reviewed Peer reviewed
Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1992
A generalized measure of association and an associated test of significance are presented for nominal independent variables in which any number or combination of interval, ordinal, or nominal dependent variables can be analyzed. A permutation test of significance is provided for the new measure. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Peer reviewed Peer reviewed
Fisicaro, Sebastiano A.; Tisak, John – Educational and Psychological Measurement, 1994
Examination of the stochastics of moderated multiple regression (MMR) reveals that MMR is an appropriate technique when predictors are fixed variables and the distribution of errors is normal but is not appropriate when predictors are random variables and the joint distribution of criterion and predictor variables is multivariate normal. (SLD)
Descriptors: Error Patterns, Multivariate Analysis, Predictor Variables, Statistical Distributions
Peer reviewed Peer reviewed
Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Peer reviewed Peer reviewed
Boyle, Gregory J. – Educational and Psychological Measurement, 1987
Canonical-redundancy analyses were computed across the Profile of Mood States and the Eight State Questionnaire on a sample of 289 college undergraduates in order to estimate the degree of measurement overlap of the two multidimensional mood-state instruments. (Author/BS)
Descriptors: Affective Measures, Comparative Testing, Concurrent Validity, Foreign Countries
Peer reviewed Peer reviewed
Neely, Margery A.; Johnson, Craig W. – Educational and Psychological Measurement, 1981
An examination of the performance of Grade 10 boys and girls on six Career Development Inventory subscales (dependent variables) through use of a three-way multivariate analysis of variance (MANOVA) on sex, father's education, and father's occupation (independent or classificatory variables) is presented. (Author/AL)
Descriptors: Academic Achievement, Correlation, Employment Level, Fathers
Peer reviewed Peer reviewed
Chissom, Brad S.; And Others – Educational and Psychological Measurement, 1972
Descriptors: Academic Achievement, Kindergarten Children, Measurement Instruments, Multivariate Analysis