General Social Survey

The General Social Survey (GSS) is a survey used to collect data on demographic characteristics and attitudes of residents of the United States. The survey is conducted face-to-face with an in-person interview by the National Opinion Research Center at the University of Chicago, of a randomly-selected sample of adults (over 18) who are not institutionalized. The survey was conducted every year from 1972 to 1994 (except in 1979, 1981, and 1992). Since 1994, it has been conducted every other year. The survey takes about 90 minutes to administer. As of 2007 26 national samples with 51,020 respondents and 5,084 variables had been collected.

The data collected about this survey includes both demographic information and respondent's opinions on matters ranging from government spending to the state of race relations to the existence and nature of God. Because of the wide range of topics covered, and the comprehensive gathering of demographic information, survey results allow social scientists to correlate demographic factors like age, race, gender, and urban/rural upbringing with beliefs, and thereby determine whether, for example, an average middle-aged black male respondent would be more or less likely to move to a different U.S. state for economic reasons than a similarly situated white female respondent; or whether a highly educated person with a rural upbringing is more likely to believe in a transcendent God than a person with an urban upbringing and only a high-school education.

GSS results are freely made available to interested parties over the internet, and are widely used in sociological research. The data are generally available in formats designed for statistical programs (e.g. SAS/SPSS/Stata).

See also

* German General Social Survey (Allgemeine Bevoelkerungsumfrage der Sozialwissenschaften - ALLBUS)
* British Social Attitudes Surveys (BSA)
* International Social Survey Programme (ISSP)

External links

* [http://www.norc.org/GSS+Website/ The GSS Website] allows users to search GSS information, test hypotheses, and look for interesting correlations.
* [http://www.gss.norc.org www.gss.norc.org]