World Values Survey 2001, Wave 4
China, 2001
Get MicrodataIdentification
CHN_2001_WVS-W4_v01_M
World Values Survey 2001
Wave 4
| Name | Country code |
|---|---|
| China | CHN |
Other Household Survey [hh/oth]
World Values Survey Wave 4 1999-2004 covers 41 countries and societies around the world and more than 60,000 respondents. The series includes the following waves: Wave 6 (2010-2014) Wave 5 (2005-2009) Wave 4 (1999-2004) Wave 3 (1995-1998) Wave 2 (1990-1994) Wave 1 (1981-1984)
The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.
Sample survey data [ssd]
Household Individual
Version
- v2.1: Edited, anonymous dataset for public distribution. All deposited data has been made anonymous at the PI side and the archive deposited files have no means to trace the respondents.
2014-04-29
Version history: -v2018-09-12:Current official release General revision, mostly of missing labels. Inclusion of region, interview date in some countries when missing and found. Creation of new variables for Town (N_TOWN) and Urban/Rural (v248) when present in country files. Previous releases: 2014-04-29: Official release NOTE: Study on values realized in the countries of Europe by EVS research network is not included into the current data-set and is avaliable for both downloading and online-analysis at: http://www.europeanvaluesstudy.eu
Coverage
China
National Population, Both sexes,18 and more years
Producers and sponsors
| Name | Affiliation |
|---|---|
| Shen Mingming | Research Center for Contemporary China |
| Pi-Chao Chen | Office of President |
| Michael Guo | Gallup-China |
Sampling
Sample size: 1000
The sample is a representative national sample of China containing 40 county/city sample units to collect individual level data of, from a political cultural perspective, the values and attitudes currently held by Chinese citizens. With considerations of representativeness, feasibility, and budgetary constrains, it was decided this project would draw a subsidiary probability sample out of a master sample that RCCC created based on its previous national survey on environmental awareness of the general public in China conducted in 1998. The Environmental Awareness Survey, which was used as a master sample, was a national survey conducted through out the entire country. The target population was the same as the one defined for this survey. Through the stratification, the proportionally allocated multi-stage PPS (probability proportional to size) technique was employed in order to obtain the self-weighted household samples. There were different stages in the sampling procedure: Counties and county-level cities are taken as primary sampling units (PSUs). Family households are the basic sampling unit. Demographic data at all levels was obtained from The Demographic Data for Chinese Cities and Counties, 1997, published by the State Bureau of Statistics.
Nation wide, there were 2,860 county-level units for the first stage sampling (including 1,689 counties, 436 county-level cities, and 735 urban district--with administrative rank equivalent to
county--in large cities). The total households were 337,659,447. This was the base for establishing the sampling frames. Some readjustments: Taking into account of cost and accessibility, only the provincial capitals (Lhasa and Urumchi) and their surrounding areas in Tibet and Sinkiang were included in the sampling frame; in other remote western provinces, a few areas that are extremely hard to access were left out as well. After such readjustment the sampling frame then includes 2,708 county-level units, of which the total households are 322,002,173. Compared to the target population, there was a 5.3% reduction (152 units) in the first stage sampling units. However, since the population density in the remote areas of the western provinces is very low, the reduction counts merely 1.4% of the total households in the sampling frame. Geographical administrative divisions of China were regarded as the primary labels of stratification, that is, each province was treated as an independent stratum. Allocation of target sampling units among the sampling stages was designed as following: 135 PSUs out of the first sampling (county-level) units; 2 secondary sampling (townshiplevel) units in each of the PSUs; then 2 third sampling (village-level) units in each of the SSUs; 25 households in each of the third sampling units, on average. Based on the proportional stratification principle, sample allocation to strata was proportional to the size of each stratum, by an equal probability of f = .0042%. Within each stratum (province), sample sizes were calculated and allocated proportionally to each of the sampling stages. A self-weighted national sample thus was obtained.
Multi-stage PPS:
-The first stage: equidistance PPS was employed to draw the county sample.
-The second stage: in each of the chosen county-level units, a sampling frame was created based on the data of townships/ward and size measurement; then the equidistance PPS is employed to choose the township/streets sample.
-The third stage: a third sampling frame was obtained from each of the chosen township-level units (neighbourhoods, villages and size measurement), and, again, the equidistance PPS is employed to choose the village/neighbourhood sample.
-The fourth stage: in each of the chosen village/neighbourhood units, the official list of households registration was obtained; using the size measurement of this unit and the desired number of households to count the sampling distance, then households were selected according to the sampling interval. Since the household registration also listed all family members of each of the household, respondents were drawn randomly immediately after the household drawing. The WVS-China sample was drawn out of the above described master sample.
Some readjustments: Primarily because of the budgetary constrains of the WVS project, six remote provinces in the master sample were excluded. They were: Hainan, Tibet, Gansu, Qinghai, Ningxia, and Sinkiang. These provinces are all with very low population density, and all together they count 5.1% of the total population and 4.6% of total households of the country. After the adjustments, seven of the 139 county-level units of the master sample were removed. Therefore, the target 40 PSUs were to be drawn out of the remaining 132 units.
Sampling Stages:
-The first stage: 40 units were drawn from 132 county-level units of the master sample were removed. Therefore, the 40 PSUs were to be drawn out of the remaining 132 units.
-The second stage: one unit was chosen randomly out of the 2 original township-level units (SSUs) in each of the 40 selected PSUs.
-The third stage: one unit was chosen randomly out of the 2 original village-level units in each of the selected SSUs.
-The fourth stage: from each of the chosen village-level units, 35 households were drawn out of the household registration list with equidistance, along with one respondent in each selected household.
Remarks about sampling:
-Sample unit from office sampling: Housing
The sample size was determined to be approximately 1,000 -- eligible individuals are to be drawn out of the above defined target population in China. Based on previous experience of response rate, it was decided to increase the target sample to 1,400 in order to reach a satisfied response rate. The final results are summarized as follows:
- Target sample size: 1,400
- Sample drawn in the field: 1,385
- Completed, valid interviews: 1,000
- Response rate: 72.2%
Summary of Non-Responses Types of Non-Responses (missing cases) % - Be away/not seen for several times: 145-37.7%
- Be away for long time/be on a business trip/go abroad/travel:138-35.8%
- The interviewer didnt write the reason: 23-6.0%
- Rejection: 19-4.9%
- Move/investigation reveals no this person: 15-3.9%
- Impediments in body or language/at variance with qualification: 12-3.1%
- Useless: 11-2.9%
- Address is nor clear/cant find the address: 10-2.6%
- A vacant house: 6-1.6%
- Tenant: 6-1.6%
- Total: 385-100%
Self weighing household samples
Survey instrument
As a participating country-team of the World Values Survey (WVS), the Research Center of Contemporary China (RCCC) at Peking University implemented the WVS-China survey in 2001. The target population covers those who are between 18 and 65 of age (born between July 2, 1935 and July 1, 1982), formally registered and actually reside in dowelings within the households in China when the survey is conducted.
Data collection
| Start | End |
|---|---|
| 2001-03-18 | 2001-06-25 |
The main method of data collection in the WVS survey is face-to-face interview at respondent’s home / place of residence. Respondent’s answers could be recorded in a paper questionnaire (traditional way) or by CAPI (Computer Assisted Personal Interview). The approval of the Scientific Advisory Committee in writing is necessary for application of any methods of data collection other than face-to-face interview. Following the sampling, each country is left with a representative national sample of its public. These persons are then interviewed during a limited time frame decided by the Executive Committee of the World Values Survey using the uniformly structured questionnaires. The survey is carried out by professional organizations using face-to-face interviews or phone interviews for remote areas. Each country has a Principal Investigator (social scientists working in academic institutions) who is responsible for conducting the survey in accordance with the fixed rules and procedures. During the field work, the agency has to report in writing according to a specific check-list. Internal consistency checks are made between the sampling design and the outcome and rigorous data cleaning procedures are followed at the WVS data archive. No country is included in a wave before full documentation has been delivered. This means a data set with the completed methodological questionnaire and a report of country-specific information (for example important political events during the fieldwork, problems particular to the country). Once all the surveys are completed, the Principal Investigator has access to all surveys and data. Non-response is an issue of increasing concern in sample surveys. Investigators are expected to make every reasonable effort to minimize non-response. In countries using a full probability design, no replacements are allowed. PIs should plan on as many call-backs as the funding will allow. In countries using some form of quota sampling, every effort should be made to interview the first contact.
Data appraisal
Estimated Error: 3,2
Access policy
World Values Survey
World Values Survey http://www.worldvaluessurvey.org/WVSContents.jsp Cost: None
Data Access
Inglehart, R., C. Haerpfer, A. Moreno, C. Welzel, K. Kizilova, J. Diez-Medrano, M. Lagos, P. Norris, E. Ponarin & B. Puranen et al. (eds.). 2014. World Values Survey: Round Four - Country-Pooled Datafile Version: www.worldvaluessurvey.org/WVSDocumentationWV4.jsp. Madrid: JD Systems Institute.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director of the WVSA Archive | WVSA Data Archive | jdiezmed@jdsurvey.net | http://www.worldvaluessurvey.org |
Metadata production
DDI_CHN_2001_WVS-W4_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-02-19
Metadata version
Version 01 (February 2020)