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A subset of cases (wave 6-9) and variables (see below) from an experiment on speed dating. by Columbia Business School professors Ray Fisman and Sheena Iyengar for their paper Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment.
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A data frame with 1562 rows and 32 variables:
(numeric) unique ID variable of participant
(numeric) unique ID variable of date partner
(character) gender of participant (male or female)
(numeric) age in years
(numeric) how much they like their date partner in general (between 1 and 10)
(numeric) how much their date partner likes them (between 1 and 10)
do they want to go on another date with their date partner? (1 = yes, 0 = no)
does their date partner want to go on another date with them? (1 = yes, 0 = no)
do they both want to go on another date with each other? (1 = yes, 0 = no)
how attractive do they think they are? (between 1 and 10)
how sincere do they think they are? (between 1 and 10)
how intelligent do they think they are? (between 1 and 10)
how much fun do they think they are? (between 1 and 10)
how ambitious do they think they are? (between 1 and 10)
how attractive etc does their date partner think they are? (between 1 and 10)
how much does their date partner think they share hobbies and interests? (between 1 and 10)
how do they rate their date partner's attractiveness etc? (between 1 and 10)
how important do they find attractiveness etc in a partner? (between 1 and 10)
how important does their date partner find attractiveness etc? (between 1 and 10)
Kaggle https://www.kaggle.com/annavictoria/speed-dating-experiment
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