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.

Tests of Between-Subjects Effects Measure: MEASURE_1 Transformed Variable: Average Type Ill Sum Source of Squares df Mean Square F Sig. Intercept 11218.006 11218.006 144.593 <.001 sex error test of equality variances levene statistic df1 df2 sig. beer corpse based on mean median .277 and .279 with adjusted df trimmed sexy .365 .865 .335 person in .195 armchair .182 .183 wine .441 .621 .178 .186 .943 water .763 .395 .376 .317 .082 .310 .718 .412 .223 tests the null hypothesis that variance dependent variable is equal across groups. a. design: intercept within subjects drink imagery>