Example of Factor Analysis: Music Preferences
In an empirical study of music preferences, researchers Peter Rentfrow and Samuel Gosling had over university students rate their liking for different popular music genres. By submitting these variables to a factor analysis, they identified four distinct clusters. To demonstrate this, they organized the results in a table of factor loadings, where the numerical values showed the strength of each genre's correlation with the factors. Based on the highest factor loadings, the researchers interpreted and labeled the four underlying constructs: Reflective and Complex (e.g., highly loaded by blues and jazz), Intense and Rebellious (e.g., rock, heavy metal), Upbeat and Conventional (e.g., country, pop), and Energetic and Rhythmic (e.g., rap/hip-hop, electronica).
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Factor Analysis: Music Preferences
Because factor analysis is limited to revealing underlying statistical structures and correlations, how is the conceptual meaning of the resulting clusters determined?
Example of Factor Analysis: Music Preferences
In the context of factor analysis, the numerical values that demonstrate how individual variables cluster onto underlying dimensions are called factor ______.