IND_2006_WVS-W5_v01_M
World Values Survey 2006
Wave 5
Name | Country code |
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India | IND |
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 India.
The WVS for India covers national population ages 18 years and over, for both sexes.
Name | Affiliation |
---|---|
Sandeep Shastri | Academy for Creative Teaching |
Pradeep Chhibber | University of Michigan Ann Arbor |
The survey was conducted in 18 of the 28 states of India and these 18 states account for 97% of the nations population. The survey was undertaken in the same 18 states in the previous round also. It was decided to conduct the survey in 40 sampled Lok Sabha (lower/directly elected house of the Indian Parliament) constituencies. These 40 seats were allotted state wise as per the population of that state. Within a state, the Lok Sabha constituency in which the study was to be undertaken was identified by circular sampling (PPS: Probability Proportion to Size). Every Lok Sabha constituency covers a specified number of Assembly constituencies (lower/directly elected House in the State) and even though the number of Assembly constituencies within a Lok Sabha constituency would vary from state to state, the number is the same within a state. Circular Sampling (PPS: Probability Proportion to Size) was once again employed. Thus, 80 Assembly Constituencies in 40 Lok Sabha constituencies were selected. Subsequently, a polling booth area in each of the 80 sampled Assembly constituencies was selected by simple circular sampling method. The number of respondents to be interviewed in each state was determined on the basis of the proportion of the states share in the national population. This was equally divided among the polling booth areas that were sampled in a state. The number of respondents in the polling booth area was the same within a state, but varied from state to state. In a polling booth area, the respondents were selected from the electoral rolls (voters list) by circular sampling with a random first number. While drawing up the random list of respondents to be interviewed in every sampled polling booth area, the number of target respondents was increased by nearly 20%. This was done in view of the fact that the field investigators were required to interview only those respondents whose names were included in the sample list. Replacement was permitted but two factors were specified. The replaced respondent should belong to the same family and gender as the original respondent. The investigators were told to make every effort to interview all those included in the list of respondents. In the event of the investigator not being able to complete an interview, they were asked to record the reason for the same. Such a rigorous method of sampling was followed in order to obtain as representative a national sample as possible. The sample was drawn using multistage stratified random sampling. A four stage stratified random sampling method was used. In the first stage, 40 of the 543 parliamentary constituencies in the country were sampled. The 40 sampled constituency was distributed across the 18 states, with the smallest having at least one. The second stage was the sampling of Assembly constituencies within the parliamentary constituencies. In every state, a certain number of assembly constituencies form part of a parliamentary constituency. In every parliamentary constituency sampled, two assembly constituencies were selected using the stratified random sampling method. In all 80 assembly constituencies were sampled. The third stage of the sampling was the identification of two polling stations areas within each sampled assembly constituency. A total of 160 polling stations were identified. The selection of Polling stations was done by listing all the Pss within the sampled Assembly Constituency in the serial order ( as done by the Election Commission) and using a systematic random sampling procedure. The fourth and final stage of sampling was the selection of respondents. The sample was drawn from the latest electoral rolls of the selected polling stations. In every polling station 20/25 names were chosen by circular sampling with a random start. Depending on the number of interviews to be completed in a state, the respondents were asked to complete a minimum number of interviews in each polling booth.
Remarks about sampling:
-Final numbers of clusters or sampling points: 160 clusters -Sample unit from office sampling: Named individual When it was not possible to interview the respondent prescribed substitution was permitted. The rule followed was same family same gender. All; groups were covered. Would have been happier if minorities groups were covered better especially the Muslims
The sample size for India is N=2001 and includes national population aged 18 years and over for both sexes.
The following table presents completion rate results:
The questionnaire was translated into ten Indian languages by an expert in survey research techniques. The questionnaire was back-translated into English and pre-tested. Four pre tests were made in each language. Mock interviews were conducted. Feedback secured and corrections if needed made.
Start | End |
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2006-12-01 | 2007-01-31 |
Name |
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International Academy for Creative Teaching with Lokniti Network |
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.
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 | |
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Director of the WVSA Archive | WVSA Data Archive | jdiezmed@jdsurvey.net | http://www.worldvaluessurvey.org |
DDI_IND_2006_WVS-W5_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-02-19
Version 01 (February 2020)