What we think a person's playlist says about them: Inferred stereotypes based on music preferences

This study demonstrates that music can be a proxy for understanding activation of a variety of stereotypes. These stereotypes also align with stereotypes in particular contexts like the workplace. Consequently, this study shows that there may be methods beyond typical self-report measures that can highlight psychological constructs of interest in research. While these methods may not entirely replace self-report, they can support an effort toward research that uses mixed methods for collecting data on particular constructs. Future research should examine this phenomenon in samples of different age groups, with other psychological constructs, and with other kinds of data in different contexts.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Psychology

Department dc:contributor.department

Psychology

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2025

Author dc:creator

• Busick, Cortney Danielle

Chair dc:contributor.committeechair

• Hernandez, Jorge Ivan

Committee members dc:contributor.committeemember

• Calderwood, Charles
• Savla, Jyoti S.
• Diana, Rachel A.

• music
• mixed method
• Spotify API
• stereotypes
• stereotype activation
• workplace stereotypes

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:43746

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/134261