Emotional Experiences, Well-Being, and Ill-Being During Art Museum Visits: A Latent Class Analysis

Katherine N. Cotter (), Rebekah M. Rodriguez-Boerwinkle, Sarah Silver, Maya Hardy, Henry Putney and James O. Pawelski
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Katherine N. Cotter: University of Pennsylvania
Rebekah M. Rodriguez-Boerwinkle: University of North Carolina at Greensboro
Sarah Silver: University of Pennsylvania
Maya Hardy: University of Pennsylvania
Henry Putney: University of Pennsylvania
James O. Pawelski: University of Pennsylvania

Journal of Happiness Studies, 2024, vol. 25, issue 1, No 22, 17 pages

Abstract: Abstract Our emotions can be influenced by many factors, including our engagement with visual art. Further, as our emotional experiences may help us develop psychological resources, they have important implications for our overall well-being and ill-being. Research into the emotions experienced when viewing art, however, has focused on individual emotions separately rather than on global patterns of experienced emotions. The present research used latent class analysis to identify patterns of emotional experiences during art museum visits and sought to investigate whether people experiencing each emotional pattern differed in their well-being and ill-being across five domains—psychological distress, empathy, meaning, positive self-regard, and social connection. A sample of 613 visitors to three art museums completed a survey of their visit experiences, including their emotional experiences and their experiences across the five domains of well-being and ill-being. The analyses resulted in three latent classes—one characterized by above average positive emotions, one characterized by above average negative emotions, and the third characterized by very high levels of negative emotions. Overall, the positive emotion class showed greater well-being and lower ill-being than the two negative emotion classes, with the two negative emotion classes differing only in psychological distress.

Keywords: Emotion; Ill-being; Well-being; Art museum; Latent class analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10902-024-00736-9

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