Results:
The results of this study were analyzed through a One-Way Analysis of Variance (ANOVA). This statistical technique was used because a one-way ANOVA is readily used to determine whether there are any significant differences between the means of the different groups considered. In the case of this study, the averages of attractiveness ratings between the different arousal condition groups were compared to identify any differences, which is ultimately used to determine which group had the largest effect on influencing attraction.
The one-way between subjects ANOVA revealed that none of the conditions of arousal (fear-induced, romance-induced, and the control) differed from one another when examining participant ratings on attractiveness. This can be seen in Graph 1. The romance induced arousal (M=4.26, SD= 0.63), the fear induced arousal …show more content…
Firstly, our study was limited to a very small sample size, which could have affected the variety of results. A larger sample would have allowed for more attractiveness ratings, which may have helped find significant results. Additionally, our subjects were derived based on voluntary participation, which immensely impacted the spread of gender and diversity. If there was a more equal amount of males and females, the interaction effect of gender and arousal stated in our second hypothesis could have been tested. Also, when considering our sample, it can be said that the sample is not a valid representation of our entire population because they were all college students. Being college students, their ratings of the profiles could have been skewed, as college students may be more judgmental than the entire population. Also, the participants could have been bias in their ratings depending on their sexual
The results of this study were analyzed through a One-Way Analysis of Variance (ANOVA). This statistical technique was used because a one-way ANOVA is readily used to determine whether there are any significant differences between the means of the different groups considered. In the case of this study, the averages of attractiveness ratings between the different arousal condition groups were compared to identify any differences, which is ultimately used to determine which group had the largest effect on influencing attraction.
The one-way between subjects ANOVA revealed that none of the conditions of arousal (fear-induced, romance-induced, and the control) differed from one another when examining participant ratings on attractiveness. This can be seen in Graph 1. The romance induced arousal (M=4.26, SD= 0.63), the fear induced arousal …show more content…
Firstly, our study was limited to a very small sample size, which could have affected the variety of results. A larger sample would have allowed for more attractiveness ratings, which may have helped find significant results. Additionally, our subjects were derived based on voluntary participation, which immensely impacted the spread of gender and diversity. If there was a more equal amount of males and females, the interaction effect of gender and arousal stated in our second hypothesis could have been tested. Also, when considering our sample, it can be said that the sample is not a valid representation of our entire population because they were all college students. Being college students, their ratings of the profiles could have been skewed, as college students may be more judgmental than the entire population. Also, the participants could have been bias in their ratings depending on their sexual