Chapter 2 Data sources
The data set used for the project is Speed Dating Data.csv. The key used along with this dataset can be found here.
This data was published in the Quarterly Journal of Economics in May 2006, by three Columbia University professors: Sheena Iyengar, Emir Kamenica, and Itamar Simonson. The link to their paper can be found here.
2.1 The Experiment
This data was compiled by the professors as part of a speed dating experiment conducted in 21 waves and 13 days from 2002 to 2004.
The dates of the experiments are given below:
Wave 01: Oct 16, 2002
Wave 02: Oct 23, 2002
Wave 03: Nov 12, 2002
Wave 04: Nov 12, 2002
Wave 05: Nov 20, 2002
Wave 06: Mar 26, 2003
Wave 07: Mar 26, 2003
Wave 08: Apr 02, 2003
Wave 09: Apr 02, 2003
Wave 10: Sep 24, 2003
Wave 11: Sep 24, 2003
Wave 12: Oct 07, 2003
Wave 13: Oct 08, 2003
Wave 14: Oct 08, 2003
Wave 15: Feb 24, 2004
Wave 16: Feb 25, 2004
Wave 17: Feb 25, 2004
Wave 18: Apr 06, 2004
Wave 19: Apr 06, 2004
Wave 20: Apr 07, 2004
Wave 21: Apr 07, 2004
The experiment included every participant speed dating every participant from the opposite sex for four minutes, and after each 4 minute session, they were asked to fill a questionnaire of questions that asked them to rate their partner in terms of Attractiveness, Sincerity, Intelligence, Fun, Ambition, and Shared Interests.
Moreover, they were asked if they would date them again. Demographic data of each participant was also collected for the purpose of the analysis.
2.2 Data Description
All the data collected was given in a single CSV file with 195 columns and 8373 observations. Most of the variables given are numbers, either of the type integer of numeric, since they are mostly about ratings. However, variables such as field, from location, career, etc. were character fields.
2.3 Issues with the data
We noticed that in different waves, the data
For example, the ratings asked in waves 6-9 were ratings on a scale from 1 to 10. For all other waves, they were asked for a 100 point allocation instead. Some questions required distribute the 100 points among the six attributes. This made the units different for different questions. Also, some questions were introduced after the 9th wave, and hence has all values missing for waves 1-9.
Moreover, some questions did not have the option of rating for Shared Interests, while some did. This brought a mismatch in the number of columns (answers) per question. Also, some questions relating to final decisions were sensitive and hence data on those questions were never published. Hence we had to make use of the data that was available.