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Zientek, Linda Reichwein; Thompson, Bruce – Research in the Schools, 2010
Self-efficacy and mathematics anxiety have been identified as predictors of mathematics achievement. In the present study, secondary analyses on matrix summaries available from prior published studies were utilized to investigate the contribution that self-efficacy and mathematics anxiety made in mathematics performance. Commonality analyses were…
Descriptors: Self Efficacy, Mathematics Achievement, Mathematics Anxiety, Predictor Variables
Thompson, Bruce – 1982
Conventional canonical methods distinguish between the two variable sets being analyzed, but the methods do not attempt to optimize the variance from a given variable set that will be contained in the final solution. In this respect canonical methods are said the be "symmetric." This paper proposes two non-symmetric, canonical-like…
Descriptors: Correlation, Evaluation Criteria, Multivariate Analysis, Predictor Variables
Thompson, Bruce – 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis, which is a useful research methodology particularly when augmented by the calculation of canonical structure, index, and invariance coefficients. A logic for conducting stepwise canonical correlation analysis based upon evaluation…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Thompson, Bruce; Miller, James H. – 1985
Methods of regression commonality analysis are generalized for use in canonical correlation analysis. An actual data set (involving educators' attitudes toward death and age, locus of control, religion, and occupational role in working with terminally ill children) is employed to illustrate the extension. The method can be applied with respect to…
Descriptors: Correlation, Elementary Secondary Education, Multivariate Analysis, Predictor Variables

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

Thompson, Bruce – Perceptual and Motor Skills, 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables

Borrello, Gloria M.; Thompson, Bruce – Journal of Experimental Education, 1985
The study investigated personality and aptitude correlates of test-wiseness skills, which were measured by assessing the subject's ability to utilize deductive reasoning and item cues. Personality factors and aptitude were measured. Results indicated that cognitive variables have more power to predict test-wiseness scores than do personality…
Descriptors: Cognitive Ability, College Freshmen, Correlation, Deduction