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When comparing their assumed partner’s ratings and the actual ratings, I found that while the participants knew that they were underestimated, the ratings they perceived were even lower than they thought over every attribute. Since the participants met several partners during each experiment, I did a Pearson correlation analysis in order to understand whether the meeting order affect people’s ratings.
First, I found a negative correlation between the order and how much they liked their partners.
Various data analyses have been performed with this dataset and insights range from gender differences in mate selection to racial preferences in dating.
My goal is to perform an analysis that may have not been conducted before and I am particularly interested in how the key attributes affect dating decision as well as whether people have a clear awareness of their self value versus their perceived value or not.
After each four-minute first date, they were asked to rate their partners over the six attributes.
Comparing self-ratings and the ratings that the participants assumed they would get can potentially provoke many sociology questions.
For example, if the partner’s ratings over all attributes for a participant were missing, I removed the entire entry in the attribute analysis but kept it for other valid analysis.
For each entry, if the number of missing variables was significant, I chose to remove the entire entry.
Besides, ambition appears to be the only attribute that people think they are what they show.
When comparing self-ratings and the actual ratings, it shows that the participants did generally overestimate themselves.
The negative correlation is also proven between the order and the four attributes, sincerity, intelligence, fun and ambition.
For example, the later they meet their partners, the less sincere they think their partners are.
To female, the top three attributes were intelligence, sincerity and attractiveness, while to male, they were attractiveness, intelligence and fun.