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Tests Of Within-Subjects Effect Essay

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The Tests of Within-Subjects Effects chart also demonstrates the main effect of alcohol consumption which happens to be shown by the F-ratio in the row labelled alcohol. This is highly significant because its value is .000 (p < .001). The conclusion that can be drawn is that the amount of alcohol consumed has a significant impact upon the attractiveness of the woman selected.
A depiction of the interaction effect is also shown by Tests of Within-Subjects Effects chart by means of the F-ratio in the row labelled Lighting*Alcohol. This is highly significant because its value is .000 (p < .001). As a result, this demonstrates that there is a significant interaction between the number of pints drunk and the club’s lighting on the overall attractiveness of the woman chosen by a man.
Analysis:
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This fact is a demonstration of how the impact of alcohol on the attractiveness of the women chosen differed when the lighting was dim compared to when the lighting was bright. The contrasts on this interaction showed that when a comparison was made between the consumption of 2 pints or less of beer, there was no significant difference in the attractiveness levels of women between the dim and brightly lighted clubs: F(1, 25) p = .708. A highly significant difference was revealed when a comparison is made regarding the difference between dimly lit and brightly lit clubs (after 2 pints of beer were consumed compared to after drinking 4 pints of beer): F(1, 25) = 24.75, p < .001. The final contrast revealed that there was no significant difference between dim and bright clubs after 4 pints of beer were drunk compared to after 6 pints of beer: F(1, 25) = 2.16, p = .154. So therefore, the decline in the attractiveness level of the woman after 2 pints of beer was significant when the lights of the club were dim, thereby proving the existence of the infamous “beer goggles”

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