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Name File Type Size Last Modified
test_predict_ID.csv text/csv 173.3 KB 03/27/2019 10:38:AM

Project Citation: 

Kachur, Alexander, and Davydov, Denis. Face Shape and Personality. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-03-27. https://doi.org/10.3886/E109082V1

Project Description

Summary:  View help for Summary Applying Machine Learning, we are looking for a number of elusive lincks between appearance and behavior. The dataset obtained after the moderation of images and validation of questionnaires. The test (holdout) dataset included self-reported and predicted from face shape by a ML algorithm the ​​Big Five personality traits for  505 males  and 740 females. 

Scope of Project

Subject Terms:  View help for Subject Terms Human face; Big Five personality traits; Face and Behavior; Face; Machine Learning; Face and Personality
Geographic Coverage:  View help for Geographic Coverage Russian Federation
Time Period(s):  View help for Time Period(s) 2016 – 2018
Universe:  View help for Universe Anonymous participants  volunteers recruited through social network advertisements completed Big Five questionnaire and provided face photo.
Data Type(s):  View help for Data Type(s) experimental data; survey data
Collection Notes:  View help for Collection Notes Validation dataset containing randomly selected 10% (1290) of paticipant.

Methodology

Sampling:  View help for Sampling
The initial sample included 25,202 participants who completed the questionnaire and uploaded a total of 77,346 photographs. The final dataset after the data screening procedures comprised 12,447 valid questionnaires and 31,367 associated photographs. 
This is a Validation dataset containtd randomly selected 10% (1290) of paticipant.
The participants ranged in age from 18 to 60 (59.4% females, M= 27.61, SD = 12.73 and 40.6% man M= 32.60, SD = 11.85).
Data Source:  View help for Data Source Participants were anonymous volunteers recruited through social network advertisements. They did not receive any financial remuneration, but they were provided with a free report on their Big Five personality traits. The data were collected online using a dedicated research website and a mobile application. Participants completed the questionnaires, reported their age and gender, and were asked to upload their photographs.
Scales:  View help for Scales
Agreeableness
Conscientiousness
Extraversion
Neuroticism
Openness


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