Using Psycholinguistic Inquiry and Content Analysis to Investigate Emotions in Memories of Musical Experiences

Author:

Yinger Olivia Swedberg1ORCID,Springer D. Gregory2

Affiliation:

1. University of Kentucky, USA

2. Florida State University, USA

Abstract

Psycholinguistic inquiry can provide insight into the way the words people use reflect psychological states, including emotional states. There is limited research on the use of Linguistic Inquiry and Word Count (LIWC) software to investigate the psycholinguistic properties of emotional memories related to music. The purpose of this study was to test the extent to which LIWC can be used in the analysis of autobiographical memories related to music. Participants were undergraduates ( N = 99) at two large universities in the southeastern United States. Each participant was asked to write about times in their lives when music or experiences with music made them feel positive or negative emotions. The researchers conducted a content analysis of participants’ responses and used LIWC software to quantify emotion words (positive and negative), pronouns, causal thinking words, and insight words. Participants used significantly more positive than negative emotion words to describe positive memories of music, but there was no significant difference between the rates of negative and positive emotion words to describe negative memories of music. The content analysis revealed a similar trend: 51% of participants described mixed, conflicting, or changing emotions when describing negative experiences, whereas descriptions of positive experiences tended to be highly positive. Many participants wrote about social experiences and musical achievement. Results of this study offer insights on how humans describe music-related autobiographical memories. LIWC appears to be a useful tool for method triangulation when performing qualitative analysis of emotions in autobiographical memories of musical experiences.

Funder

university of kentucky

Publisher

SAGE Publications

Subject

Music,Experimental and Cognitive Psychology

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1. What makes music healing? Psycholinguistic inquiry and content analysis on online music comments (Preprint);2024-01-17

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4. Music Recognition and Classification Recommendation Based on Convolutional Neural Network;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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