Help for it earliest hypothesis is actually blended. The info towards the men receivers is actually supporting regarding the theory, although analysis into the girls receivers aren’t. You are able to, this decreased impact up on lady try using their failure so you can perceive an improvement of communicator’s sexiness anywhere between conditions. Whatever the low-extreme distinctions for the people receivers effect out-of sexiness, the fresh sexiness manipulation (aroused and you may low-sexy criteria) did influence both women and men; for that reason, the information for both men and women is reported.

Affect. Analysis of variance (Table 1) performed with the affective component scores indicate significant main effects for the sexiness conditions and the sex of the receivers, and interaction effects between conditions and receivers. The mean scores of the affective attitudinal component are reported in Figure 2. The affective measures of the males were significantly higher (t=2.83, p=.009) for the sexy versus the non-sexy communicator. The affective scores for the females were in the same direction as the males but did not approach significance (t=.71, p=.486).

Cognitive. Analysis of variance (Table 1) indicated the sexiness manipulation caused mixed results for the cognitive attitudinal component. The cognitive component for the sexy conditions was significantly higher (t=2.18, p=.038) for the males than the non-sexy condition. In contrast, the effect was opposite for females, where the cognitive component was significantly lower (t=4.40, p=.000) for the sexy condition than the non-sexy condition. These effects upon the cognitive component are presented in Figure 3.

Conative. The results of the conative attitudinal component are comparable to the cognitive results. The sexiness conditions were not significantly different while the difference between the sexes was significant, resulting in significant interaction effects. The sexy condition produced significantly higher conative measures for the males (t=2.73, p=.011) and significantly lower measures for the females (t=-3.12, p=.004), than the non-sexy condition. The mean scores for the sex of subjects and interaction effects are presented in Figure 4.

The second hypothesis states that the perceived sexiness of the communicator will be negatively correlated for female receivers and positively correlated for male receivers. The data for the males supported this hypothesis while the data for the females did not. The data were analyzed according to sex by using Pearson Product-Moment Correlations. Perceived sexiness and physical attractiveness of the communicator were not correlated for females (Pearson r=-.14, p=.466), but was positively correlated for males (Pearson r=.53, p=.003).

The latest aroused and you can non-horny criteria were not somewhat different since intercourse of your own receivers are significant, resulting in tall telecommunications outcomes of the latest conditions of the receivers

The third hypothesis states that perceived sexiness of the communicator will be positively correlated with perceived communicator credibility, perceived expensiveness of the product, and recall of copy details. No significant correlations resulted for females. For males, the perceptions of sexiness was significantly correlated with communicator credibility (Pearson r=.49, p=.007), and perceived expensiveness of the product (Pearson r=.65, p=.001), but was not significant for recall (Pearson r=-.32, p=.089).

For males, new correlations anywhere between sexiness and you may communicator intelligence (Pearson roentgen=

The fourth hypothesis states that the perceived sexiness of the communicator will be positively correlated with perceived communicator intelligence, trustworthiness, and expertise. Again, no significant correlations were found for the female receivers. 49, p=.006), dating sites voor Latijnse vrouwen trustworthiness (Pearson r=.41, p=.024), and expertise (Pearson r=.63, p=.001) were all significant.

The secondary, empirical, issue of this hypothesis concerning correlations for measures of trustworthiness and expertise with measures of source credibility is confirmed. For female receivers, trustworthiness was highly correlated with source credibility (Pearson r=.99, p=.001), and the correlation of expertise with credibility was also significant (Pearson r=.84, p=.001). Male receivers, almost identical to females, displayed highly significant correlations for source trustworthiness with source credibility (Pearson r=.96, p=.001), and source expertise with source credibility (Pearson r=.83, p=.001).