Can We Categorise Listeners: A Latent Profile Analysis
Conference Contribution ResearchOnline@JCUAbstract
The evolution of digital listening technologies continues to impact the way we think about music consumption and music listening practices. Krause and North’s (2016) findings suggest that, in addition to demographic characteristics, psychological constructs should be considered when investigating listening practices and technology use. The present study uses latent profile analysis (LPA), which is a statistical technique that focuses on identifying latent subgroups within a population based on a set of variables. With this study, LPA affords us the opportunity to attempt to categorise types of music listeners. To explore this possibility, we draw on data collected from a sample of 310 younger adults residing in Australia (Mage = 20.03; 76.50% female). Participants were asked to complete an online questionnaire that included demographics, the musicianship module of the MUSEBAQ (Chin, et al., 2018), the Music Engagement Test (MET; Greenberg & Rentfrow, 2015), Langford’s (2003) Big Five proxy personality scale, Krause and Hargreave’s (2013) Music Self-Images Questionnaire, and Krause and Brown’s (2021) format use measure. With analyses underway, preliminary indications suggest that format use and MET scores may differentiate listener typologies. Study findings further our theoretical understanding of how individuals consume music in everyday life.
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2024 Australian Music & Psychology Society (AMPS) Conference
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1
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Melbourne, VIC, Australia
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Australian Music & Psychology Society
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Melbourne, VIC, Australia
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