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Altman, Dan – 2000
Although many researchers are familiar with "testwise" alpha, "experimentwise" Type I error rates are also important and must be considered in many research situations. Experimentwise error rates can inflate rapidly when researchers use multiple univariate tests. Both analysis of variance (ANOVA) post hoc and multi-variate…
Descriptors: Multivariate Analysis

Kerwin, Mary Louise E.; And Others – Counseling Psychologist, 1987
Describes the strengths and weaknesses of a new type of multivariate technique, covariance structure analysis (LISREL). Provides a detailed example which shows how the use of covariance structure analysis can improve research sophistication and theory development in counseling psychology. (Author/ABB)
Descriptors: Counseling, Multiple Regression Analysis, Multivariate Analysis, Psychology