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Campbell, Kathleen T.; Taylor, Dianne L. – Journal of Experimental Education, 1996
A hypothesized data set is used to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases. Specific techniques included in analyses are t tests, Pearson correlation, multiple regression, analysis of variance, multivariate analysis of variance, and discriminant analysis. (SLD)
Descriptors: Analysis of Variance, Correlation, Heuristics, Multivariate Analysis
Campbell, Kathleen T.; Taylor, Dianne L. – 1993
Using a hypothetical data set of 24 cases concerning opinions on contemporary issues on which Democrats and Republicans might disagree, concrete examples are provided to illustrate that canonical correlation analysis is the most general linear model, subsuming other parametric procedures as special cases. Specific statistical techniques included…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Heuristics
Taylor, Dianne L. – 1992
The need for using invariance procedures to establish the external validity or generalizability of statistical results has been well documented. Invariance analysis is a tool that can be used to establish confidence in the replicability of research findings. Several approaches to invariance analysis are available that are broadly applicable across…
Descriptors: College Faculty, Correlation, Generalizability Theory, Heuristics
Taylor, Dianne L.; Campbell, Kathleen T. – 1992
Several techniques for conducting studies of measurement integrity are explained and illustrated using a heuristic data set from a study of teachers' participation in decision making (D. L. Taylor, 1991). The sample consisted of 637 teachers. It is emphasized that validity and reliability are characteristics of data, and do not inure to tests as…
Descriptors: Construct Validity, Elementary School Teachers, Elementary Secondary Education, Heuristics