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Music psychology can be defined as the scientific study of the psychological processes through which music is perceived, created, responded to, and incorporated into everyday life. Ever since the origins of music psychology in the middle of the 19th century, research methods and analysis have been a core part in this field of research. While most of its experimental and analytical methods are related to methodology employed in general psychology, several methods and techniques have emerged being specific for research in music psychology. This seminar aims to introduce students to the main branches of music psychology research, the most important methods used to conduct research on this field, and the basic statistical tools used to analyze data (e.g., correlation, regression, t-test, and ANOVA). In order to explore and visualize the data, as well as perform statistical analysis, you will learn how to use R, a free software for statistical computing and graphics. The course is intended for students with no background in statistics or quantitative research methods.
This seminar will be organized in three main blocks. In each block, you will cover a major topic in music psychology, participate in a small experiment, and learn how to analyze your own data using statistical tools in R. The first block will focus on musical expertise: What is musical expertise? How can we measure it? Which aspects of musical expertise are associated with other individual differences, such as gender, personality, and music preferences? The second block will address the topic of musical judgements and preferences, exploring how people evaluate music and which factors influence music evaluation and decision-making. Finally, in the third block, you will be able to design your own music experiment, collect data, analyze them and present the results. |
| Literatur |
Books:
- Dienes, Z. (2008). Understanding psychology as a science: An introduction to scientific and statistical inference. Macmillan International Higher Education.
- Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage publications.
- Hallam, S., Cross, I., Thaut, M. (2nd Eds.). (2016). The Oxford Handbook of Music Psychology. Oxford: University Press.
- North, A., & Hargreaves, D. (2008). The social and applied psychology of music. Oxford University Press.
- Radocy, R. E., & Boyle, J. D. (2012). Psychological foundations of musical behavior. Charles C Thomas Publisher.
- Tan, S.L., Pfordresher, P., & Harre, R. (2010). Psychology of Music. London: Psychology Press.
Scientific articles:
- Anglada-Tort, M., & Müllensiefen, D. (2017). The Repeated Recording Illusion: The Effects of Extrinsic and Individual Difference Factors on Musical Judgments. Music Perception: An Interdisciplinary Journal, 35(1), 94-117.
- Anglada-Tort, M., & Sanfilippo, K. R. M. (2019). Visualizing Music Psychology: A Bibliometric Analysis of Psychology of Music, Music Perception, and Musicae Scientiae from 1973 to 2017. Music & Science, 2, 2059204318811786.
- Behne, K. E., & Wöllner, C. (2011). Seeing or hearing the pianists? A synopsis of an early audiovisual perception experiment and a replication. Musicae Scientiae, 15(3), 324-342.
- Greenberg, D. M., Müllensiefen, D., Lamb, M. E., & Rentfrow, P. J. (2015). Personality predicts musical sophistication. Journal of Research in Personality, 58, 154-158.
- Müllensiefen, D., Gingras, B., Musil, J., & Stewart L. (2014). The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population. PLoS ONE,9(2): e89642. doi:10.1371/journal.pone.0089642
- North, A. C., & Hargreaves, D. J. (1995). Subjective complexity, familiarity, and liking for popular music. Psychomusicology: A Journal of Research in Music Cognition, 14(1-2), 77.
- Rentfrow, P.J., & Gosling, S.D. (2003). The Do Re Mi’s of Everyday Life: The Structure and Personality Correlates of Musical Preferences. Journal of Personality and Social Psychology, 84, 1236-1256.
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