Output Interpretation for One-Way MANOVA

Output Interpretation for One-Way MANOVA

Output Interpretation for One-Way MANOVA

SPSS Statistics produces many different tables in its one-way MANOVA analysis. In this section, we show you only the main tables required to understand your results from the one-way MANOVA and Tukey post-hoc tests. For a complete explanation of the output you have to interpret when checking your data for the nine assumptions required to carry out a one-way MANOVA, see our enhanced one-way MANOVA guide. This includes relevant boxplots, scatterplot matrix and Pearson’s correlation coefficients, and output from your Mahalanobis distance test, Shapiro-Wilk test for normality, and Box’s M test of equality of covariance, and if required, Levene’s test of homogeneity of variance.

However, in this “quick start” guide, we focus only on the four main tables you need to understand your one-way MANOVA results, assuming that your data has already met the nine assumptions required for a one-way MANOVA to give you a valid result.

Descriptive Statistics

The first important one is the Descriptive Statistics table shown below. This table is very useful as it provides the mean and standard deviation for the two different dependent variables, which have been split by the…