Detroit Area Study, 1960 [electronic resource] Labor and Leisure in the Urban Community, A Study of Social Order and Social Change Harold L. Wilensky

2010-12-10

Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 1984

1 online resource

Numeric

This study of 678 adults in the Detroit metropolitan area in 1960 provides measures of their job satisfaction and use of leisure time, as well as information on their friendships, buying patterns, and political preferences. Questions on job satisfaction queried respondents about job preferences, hours worked at current job, preference for self-employment, type of supervisors at workplace, chances for promotion, and the work culture and environment at respondents' current jobs. Questions on leisure time elicit information on time spent watching television and the programs watched often, newspapers and magazines read regularly and favorite columnists, books read, time spent on other hobbies and crafts such as photography, music, and sports, vacation time, use of spare time, memberships in clubs and organizations, and time spent socializing with friends, relatives, colleagues, and neighbors. Other items probed respondents' opinions about causes of unemployment, their feelings about their standard of living, and their future plans, financial obligations, buying patterns, use and ownership of telephones, self-perceived social class, political party preference, and choice of gubernatorial and presidential candidates in the last election. Additional items probed respondents' attitudes toward Blacks as neighbors and co-workers. Demographic variables specify age, sex, race, education, place of birth, length of residence in the Detroit area, home ownership, length of time at present residence, marital status, number of children, original nationality of paternal family, income, occupation, religious preferences, and class identification. Cf: http://doi.org/10.3886/ICPSR07399.v3

Also available as downloadable files.

Data Sets / Online

English

June 14, 2019

Dataset

Data sets.