Step-Down Analysis: A Comparison with Covariance Corrections and Stepwise Analysis.Report as inadecuate




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Step-down analysis is a multivariate technique that examines dependent variables across groups by using a series of univariate "F" tests done in an a priori order. The first "F" test results are the same as a univariate "F" test examining the dependent variable. Each of the following "F" tests then uses the previously used dependent variables as covariates. The null hypothesis tested by this method is that there is no effect across groups when dependent variables are listed in a specific order. Because step-down uses covariates, as does analysis of covariance (ANCOVA) and multivariate analysis of covariance (MANCOVA), and is performed in a series of steps, somewhat like stepwise analysis, step-down is compared across these different methods. The comparisons show that step-down analysis does not have the same problems as ANCOVA, MANCOVA, and stepwise analysis. However, step-down has its own problems that are discussed in more detail. (Author/SLD)

Descriptors: Analysis of Variance











Author: Krach, S. Kathleen

Source: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=5964&id=ED449233







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