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Briana Anderson - Cornell University

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Table 20<br />

Univariate Analysis table for Dependent Variable Endorser Credibility<br />

Source Type III Sum<br />

of Squares<br />

50<br />

Degrees of<br />

Freedom<br />

Mean<br />

Square<br />

F Sig.<br />

Corrected Model 8882.770 5 1776.554 8.228 .000<br />

Intercept 69151.764 1 69151.764 320.268 .000<br />

Gender 974.432 1 974.432 4.513 .035<br />

Class 51.774 1 51.774 .240 .625<br />

Attractiveness 7064.826 1 7064.826 32.720 .000<br />

Company Type 238.491 1 238.491 1.105 .294<br />

Attractiveness * 554.822 1 554.822 2.570 .110<br />

Company Type<br />

Error 57434.384 266 215.919<br />

Total 1175091.563 272<br />

Corrected Total 66317.154 271<br />

a R Squared = .134 (Adjusted R Squared = .118)<br />

For the summed variable of endorser credibility, H2 is not supported. Table 20<br />

presents findings from a univariate ANOVA with endorser credibility as the dependent<br />

variable with fixed factors of attractiveness and company type and covariates of<br />

gender and class. This analysis suggests that attractiveness alone is a significant<br />

variable (main effect) in determining endorser credibility but not the interaction<br />

between attractiveness and company type. Specifically, there is a significant<br />

difference between means of endorser credibility for attractive (mean= 58.543) and<br />

unattractive (mean= 68.807) endorsers, in which the mean endorser credibility for<br />

attractive endorsers is lower than that of the unattractive endorser.<br />

The same univariate ANOVA test was run for dependent variables of endorser<br />

expertise and trustworthiness to see if this interaction was apparent. Table 21

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