This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.
Korean General Social Survey (KGSS), 2003 (ICPSR 34655)
Principal Investigator(s): Kim, Sang-Wook, Sungkyunkwan University (South Korea). Survey Research Center
The Korean General Social Survey (KGSS) is the South Korean version of the General Social Survey (GSS), closely replicating the original GSS of the National Opinion Research Center at the University of Chicago. Each round of the KGSS typically includes the topical module surveys of the International Social Survey Programme (ISSP), and/or the East Asian Social Survey (EASS), an international survey network of four GSS-type surveys from countries in East Asia (including China, Japan, Taiwan, and South Korea). Respondents were asked for their opinions on Korean society, economic issues, government performance, international relations, business, women and family matters, immigration, and social inequality. Additional questions were asked about everyday life, household and family composition, and media use. Demographic information includes age, sex, education level, household income, employment status, religious preference, political party affiliation, and political philosophy.
These data are available only to users at ICPSR member institutions. Because you are not logged in, we cannot verify that you will be able to download these data.
Kim, Sang-Wook. Korean General Social Survey (KGSS), 2003. ICPSR34655-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2015-06-16. http://doi.org/10.3886/ICPSR34655.v2
Persistent URL: http://doi.org/10.3886/ICPSR34655.v2
Scope of Study
Subject Terms: business, capitalism, children, citizenship, corporations, economic conditions, educational background, family life, family work relationship, government expenditures, government performance, government regulation, household composition, household income, immigration, income estimates, international relations, job satisfaction, job search, labor unions, life satisfaction, media use, minorities, national identity, national pride, occupational status, political affiliation, public opinion, religious affiliation, religious behavior, social attitudes, social behavior, social classes, social inequality, standard of living, trust (psychology), trust in government, voting behavior, war, work, work attitudes, work environment, working women
Smallest Geographic Unit: State
Geographic Coverage: Asia, Global, South Korea
Date of Collection:
Unit of Observation: individual
Universe: The national population aged 18 years or older residing in households in South Korea.
Data Types: survey data
Data Collection Notes:
Users may notice that all later waves of the KGSS series contain the variable BLOCKNO. The variable BLOCKNO was not created for the 2003 dataset. For specific instruction on how BLOCKNO can be created please view the ICPSR Processing Notes section of the ICPSR Codebook.
Sample: Consistent with the requirements of ISSP and other GSS-type surveys, the sample for the KGSS is a national sample drawn by full probability sampling procedures. A more convenient quota sampling at the block level is not employed at all, simply because the quota sampling in terms of age and sex criteria, for instance, is vulnerable to a variety of misuses and abuses that result in serious sampling biases. The target universe of the KGSS is the adult population aged 18 or over who live in households of Korea. From this universe, a total of 2,000 individuals are sampled by the three-stage area probability sampling method. The total number of sample blocks (or clusters) is 200, and some 10 individuals are sampled from each block. Below is a more detailed description of the sampling procedures involved. First, the total sample blocks are distributed to 16 do's or si's at the province level, proportionate to the distribution of households in Korea. Second, in accordance with the PPS principle, a number of dong's and/or myun's (ward level administrative districts in cities and rural counties, respectively) are selected proportional to the number of sample blocks assigned to each province. Third, from each dong and myun selected, one sample block-tong-ban in dong or ri in myun-is randomly selected. Fourth, in each tong-ban or ri selected, about 10 households are randomly selected, make a list of adult members aged 18 or over in each household with their dates of birth on it, and finally select the person who has the birth date occurring the first during the year. For instance, in a household whose members have birthdays in April, February, November, and August, the very person with the birthday in February becomes the respondent. The multistage element in these sequential sampling procedures serves to narrow down the hierarchically stratified geographic areas into the lowest sample blocks, thereby enhancing the sample representativeness, while the cluster component there serves to maximize the efficiency of fieldwork operations.
Time Method: Cross-sectional
Weight: No weights were used in this study.
Mode of Data Collection: face-to-face interview
Response Rates: The response rate for the KGSS-2003 was 65.8 percent.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Created online analysis version with question text.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2013-12-23
- 2015-06-16 A note was added to the metadata and ICPSR Codebook to instruct users on how to create the variable BLOCKNO.
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)
If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.