TWN_2006_WVS-W5_v01_M
World Values Survey 2006
Wave 5
Name | Country code |
---|---|
Taiwan, China | TWN |
Other Household Survey [hh/oth]
World Values Survey Wave 5 2009-2005 covers 58 countries and societies around the world and more than 83,000 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]
2018-09-12
Version history: -v2018-09-12: Current official release General revision, mostly of missing labels. Inclusion of region, town, interview date in some countries when missing and found. Old releases: 2014-04-29
The Survey covers Taiwan China.
The WVS for Taiwan China covers national population, aged 18 years and over, for both sexes.
Name | Affiliation |
---|---|
Professor Tu, Su-hao | Center for Survey Research |
Professor Yun-han Chu | Center for Survey Research |
Professor Yin-hwa Chang | Chengchi University |
Professor Cheng-tian Kuo | Chengchi University |
(1) Variable is based on the cluster analysis of six variables including the percentage of the population (a) in commercial sectors, (b) in industry sectors, (c) aged 15-64, (d) aged 65 or more, (e) graduated from college or higher, and (f) density in 355 townships on Taiwan during 2000 or 2004.
(2) Seven strata were originally derived and representing certain degree of urbanization
(3) This survey combines the strata of the lowest two levels of urbanization sampling because the number of township in these strata is very small. Three-stage stratified sampling: First stage, PSU = Township using PPS Administrative district under township= village or precinct (Li) using PPS Registered, named individuals, using systematic sampling
Remarks about sampling:
A non-response bias comes from the use of household registration data in which some household members in fact do not live in the household. upper age cut-off : 85 We sent postal cards to all sampled individuals (for advance contact). Telephone contacts were conducted in three phases ofinterview:
The sample size for Taiwan is N=1227 and includes national population, aged 18 years and over, for both sexes.
2874 A Total issued (total sample)
90 B Ineligible (address vacant, wrong ages,...)
2784 C (= A - B) Total eligible (in scope sample)
1225 D Total WVS questionnaires received
1559 E - (= C - D; = F + G + H) Total non-response
429 F Refusals (refusing to take part)
1076 G Non-contact (never contacted)
54 H Other non-response
Remarks about non-response:
Population registers (about 9 percents of the sampled individuals dont live at their registered address) interviewer answer the questions illegally, the respondents were not the sampled units, the questionnaires were temporarily lost.
Yes. The data was weighted using an iterative proportional raking scheme. For each respondent, sample data was weighted by sex, age, area and education degree groups. Weights were then generated to match the population of Taiwan area.
Manderin, Taiwanese, or Hakka Some variables are not included : 1.Dropped questions are V50-V54, V165-V167, V178, V210-214? 2.Questions with minor changes are as follows: V255, V256, V257, V259. Reason(s) why missing: 1.These variables doesnt fit our context. 2.V255 is based on the size of Primary Sampling Unit (PSU) represented by ZIP code. Data transformation will be used to produce this variable. V256 is changed based on ethnicity on Taiwan. V216a is added and put next to V216. V257 is changed based on V255 to categorize PSU. V259 will be created during data analysis.
Start | End |
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2006-05-06 | 2006-07-06 |
Name |
---|
Center for Survey Research |
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.
+/- 2,9%
World Values Survey
World Values Survey http://www.worldvaluessurvey.org/WVSContents.jsp Cost: None
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 Five - Country-Pooled Datafile Version: www.worldvaluessurvey.org/WVSDocumentationWV5.jsp. Madrid: JD Systems Institute.
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.
Name | Affiliation | URL | |
---|---|---|---|
Director of the WVSA Archive | WVSA Data Archive | jdiezmed@jdsurvey.net | http://www.worldvaluessurvey.org |
DDI_TWN_2006_WVS-W5_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-02-19
Version 01 (February 2020)