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I ran an analysis on SPSS talking about the mixed attitude( positive -Negative-neutral ) among males and females who experienced to drinks (beer-wine-water)after watching an

I ran an analysis on SPSS talking about the mixed attitude( positive -Negative-neutral ) among males and females who experienced to drinks (beer-wine-water)after watching an advertisement about the differences of these three kinds of drinks and their imagery about that difference. I used two-way ANOVA to determine the significant differences.

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Mauchly's Test of Sphericity" Measure: MEASURE_1 Epsilonb Approx. Chi- Greenhouse- Within Subjects Effect Mauchly's W Square df Sig. Geisser Huynh-Feldt Lower-bound Drink .572 9.486 2 009 .700 .784 .500 Imagery 965 612 2 .736 .966 1.000 .500 Drink * Imagery 609 8.153 9 521 .813 1.000 .250 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept + sex Within Subjects Design: Drink + Imagery + Drink * Imagery b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table

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