Okay so this is probably a dumb question but I don't know the answer!

What is the difference between a One-Way ANOVA and a Univariate Analysis? I have all my data in SPSS and was running preliminary tests. I am getting WONDERFUL results with the One-Way ANOVA (like .001, .000, .002) but not so much with the Univariate test (.030, and some others not significant). What exactly is the difference between the two tests?? (My confusion lies in the fact that I thought an ANOVA WAS a univariate analysis?)

I'm also getting a few results with the Multivariate but nothing is giving me anywhere near the results of the ANOVA.

The GLM univariate analysis and anova should come out the same if you are doing it correctly. However the two analysis are different. The GLM univariate analysis in SPSS is actually a regression.

regression using univariate model:

Tests of Between-Subjects Effects

Dependent Variable: degree

Source Type III Sum of Squares df Mean Square F Sig. Noncent. Parameter Observed Power(a)

Corrected Model .233(b) 1 .233 .264 .616 .264 .076

Intercept 67.433 1 67.433 76.229 .000 76.229 1.000

gender .233 1 .233 .264 .616 .264 .076

Error 11.500 13 .885

Total 80.000 15

Corrected Total 11.733 14

a Computed using alpha = .05

b R Squared = .020 (Adjusted R Squared = -.056)

ANOVA:

ANOVA

degree

Sum of Squares df Mean Square F Sig.

Between Groups .233 1 .233 .264 .616

Within Groups 11.500 13 .885

Total 11.733 14

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Ok, the output is ugly but notice that both the ANOVA and the Univariate have P= 0.616 and F= 0.264. The Univariate gives you alot more information like Power. Sum of squares and error variance are the same though.

Mark