Abstract
Personality can be represented in many different forms, including musical preferences. Previous research has shown personality can be predicted by a person’s behaviors, even at the level of zero-acquaintance. This study aims to investigate if strangers can accurately predict other peoples’ personality based only on their musical preferences. The current study additionally examined if people could associate certain elements of music listening habits with the Big Five personality constructs across raters of personality. Pearson’s correlations were used to examine the relationship between observers’ ratings of personality and the self-reported personality scores using the Big Five Personality Index (BFI) of those Spotify Users. Pearson’s correlations were also used to investigate the relationship between Spotify Users’ perceived personality ratings (PPR-S) and observers’ personality ratings of them, and interclass correlation was used to determine inter-rater reliability. Results showed observers personality ratings did not significantly match with BFI scores; however, Spotify Users’ PPR-S significantly agreed with the observers. In addition, there was good to excellent inter-rater reliability between all observers of personality.
Advisor
Thompson, Claudia
Department
Psychology
Recommended Citation
Aitken, Abigail E., "All “Wrapped” Up: Strangers Predict Personality Looking Only at Spotify Listening Habits" (2024). Senior Independent Study Theses. Paper 11050.
https://openworks.wooster.edu/independentstudy/11050
Disciplines
Social and Behavioral Sciences
Keywords
Spotify, personality judgements, zero-acquaintance, music preferences, Big Five
Publication Date
2024
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2024 Abigail E. Aitken
