Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7844
Main Title: Understanding music-selection behavior via statistical learning: Using the percentile-Lasso to identify the most important factors
Author(s): Greb, Fabian
Steffens, Jochen
Schlotz, Wolff
Type: Article
Language Code: en
Abstract: Music psychological research has either focused on individual differences of music listening behavior or investigated situational influences. The present study addresses the question of how much of people's listening behavior in daily life is due to individual differences and how much is attributable to situational effects. We aimed to identify the most important factors of both levels (i.e., person-related and situational) driving people's music selection behavior. Five hundred eighty-seven participants reported three self-selected typical music listening situations. For each situation, they answered questions on situational characteristics, functions of music listening, and characteristics of the music selected in the specific situation (e.g., fast - slow, simple - complex). Participants also reported on several person-related variables (e.g., musical taste, Big Five personality dimensions). Due to the large number of variables measured, we implemented a statistical learning method, percentile-Lasso, for variable selection, which prevents overfitting and optimizes models for the prediction of unseen data. Most of the variance in music selection behavior was attributable to differences between situations, while individual differences accounted for much less variance. Situation-specific functions of music listening most consistently explained which kind of music people selected, followed by the degree of attention paid to the music. Individual differences in musical taste most consistently accounted for person-related differences in music selection behavior, whereas the influence of Big Five personality was very weak. These results show a detailed pattern of factors influencing the selection of music with specific characteristics. They clearly emphasize the importance of situational effects on music listening behavior and suggest shifts in widely-used experimental designs in laboratory-based research on music listening behavior.
URI: https://depositonce.tu-berlin.de//handle/11303/8715
http://dx.doi.org/10.14279/depositonce-7844
Issue Date: 2018
Date Available: 19-Dec-2018
DDC Class: 500 Naturwissenschaften und Mathematik
Subject(s): daily life
statistical learning
lasso regression
situational influences
music listening behavior
music selection behavior
percentile-lasso
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Music & Science
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 1
Publisher DOI: 10.1177/2059204318755950
Page Start: 1
Page End: 17
EISSN: 2059-2043
ISSN: 2059-2043
Appears in Collections:FG Audiokommunikation » Publications

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