Class, culture, or both: Assessing consumption patterns within music and technology

Item

Title
Class, culture, or both: Assessing consumption patterns within music and technology
Identifier
d_2009_2013:50631fe520e1:10170
identifier
10427
Creator
Graham, Roderick S.,
Contributor
Paul Attewell
Date
2009
Language
English
Publisher
City University of New York.
Subject
Social structure | Cultural anthropology | Music | culture | stratification | technology
Abstract
What is the best way of understanding contemporary consumption patterns in the United States? Using the classical theories of Marx and Weber, and the contemporary theory of omnivorousness developed by Richard Peterson, this research examines the consumption of a symbolic good (music) and a material good (technology). The data for this research comes from two nationally representative surveys. Music analyses were done using the 2002 Survey of Public Participation in the Arts sponsored by the National Endowment for the Arts (N = 17135). Technology analyses were done using the 2006 Pew Research Center's Internet and American Life Project's Annual Gadgets Survey (N = 4100). This research uses statistical methods - correspondence analysis and classification and regression tree analysis - that classify respondents. These methods were used in order to group respondents with similar music or technology preferences together. These homogeneous groups were then compared to the predictions made by Marxian, Weberian, and Omnivorous theories. This research suggests that the best way to explain contemporary consumption patterns in the United States is through a particular combination of Marxian and Weberian indicators, and that Peterson's theory of omnivorousness is less applicable. A new concept, lifestyle clusters, is proposed. Lifestyle clusters combine economic Marxian indicators and cultural Weberian indicators into one conceptual framework. The conclusions drawn from this dissertation suggest that the ways in which sociologists have traditionally understood consumption patterns need to be reconsidered.
Type
dissertation
Source
2009_2013.csv
degree
Ph.D.
Program
Sociology