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World Values Survey 2006, Wave 5

Russian Federation, 2006
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Reference ID
RUS_2006_WVS-W5_v01_M
Producer(s)
Christian Welzel
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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  • Study Description
  • Data Dictionary
  • Downloads
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  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data appraisal
  • Access policy
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    RUS_2006_WVS-W5_v01_M

    Title

    World Values Survey 2006

    Subtitle

    Wave 5

    Country
    Name Country code
    Russian Federation RUS
    Study type

    Other Household Survey [hh/oth]

    Series Information

    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)

    Abstract

    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.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Household
    • Individual

    Version

    Version Description
    • v01: 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.
    Version Date

    2018-09-12

    Version Notes

    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

    Coverage

    Geographic Coverage

    The Survey covers the Russian Federation.

    Universe

    The WVS for the Russian Federation covers national population, aged 16 years and over, for both sexes.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Christian Welzel University of Bremen

    Sampling

    Sampling Procedure

    Multi-stage stratified cluster random route sample (The households are selected based on random route sample. Selection of the respondent in household is made according to quota on age and gender). This methodology does not imply repeated visits of the households, e.g. if nobody opens the door. In order to build a national representative sample the universe was stratified into 8 macro regions (Moscow is allotted into a separate macro region) and into 8 types of settlements in every macro region. Sample points (approximately 125) are distributed among cells in compliance with national statistics. At each sample point approximately 15 interviews had been conducted.

    1. Settlements are chosen for every strata. This is done by random selection from the full list of settlements that are allocated to the strata (the whole territory of the Russian Federation excluding some territories of the North Caucasus and sparsely populated areas in the North of Russia).
    2. Selection of sampling points: Election sites are considered as sampling points. They are selected randomly from the full list of election sites in the city (town). In rural settlements (with usually 1 election site) selection of sampling points is not needed.
    3. Selection of the definite residential as starting point within each election site. Interviewer begins with the first entrance of selected building. Step equals to 7 apartments from interview conducted. If there is not enough respondents to complete the task, interviewer passes to another building which is the next in the election site list.
    4. Respondents are selected in a household among household members aged 16 years and older according to quotas representing the sample universe.

    Quota according to the following criteria:

    • gender
    • age

    Additional criteria used for weighting of the data:

    • size of household
    • region
    • size of town (Source: Federal State Statistics Service (Rosstat), December 2004)

    Remarks about sampling:
    As in most of the countries involved, quota sampling had been used to select the respondents, a brief description of the methodology at the beginning of the methodological report seems to be useful. The respondent was selected using quota selection. Respondents were only selected if they matched the quotas given to the interviewers. Concerning substitution, any respondent fitting an appropriate quota profile could be interviewed instead of somebody with the same quotas, but who did not want to participate in the survey. Concerning stratification factors, region and size of town were used to design the sample and select appropriate sampling points.

    The sample size for the Russian Federation is N=2033 and includes national population aged 16 years and over for both sexes.

    Weighting

    During and after data collection, representativeness of the sample with respect to nationally based criteria has been checked. Deviations from the populations distribution on these criteria were observed. Deviations from the populations distribution (criteria: gender, age, size of household, region, size of town) were corrected by a weighting variable built with the RIM weighting procedure.
    The population characteristics were obtained from Federal State Statistics Service (Rosstat), December 2004. These deviations have been corrected by a weighting variable built with the RIM weighting procedure see the RIM weighting theoretical basis paper entitled ON A LEAST SQUARES ADJUSTMENT OF A SAMPLED FREQUENCY TABLE WHEN THE EXPECTED MARGINAL TOTALS ARE KNOWN, by W. Edwards Deming and Frederick F. Stephan, in volume 11, 1940 of the Annals of Mathematical Statistics. It was realised with Quantum software of SPSS MR company.
    Additional criteria used for weighting of the data: size of town

    Survey instrument

    Questionnaires

    Sampling (v255, v257) and quota (v235, v236, v237) relevant questions had been asked at the beginning of the interview.

    • Then the order of the WVS questions strictly followed the master questionnaire.
    • The following questions had been amended, agreed by WVS: v114: Had been split off into three questions v114_1: State social support for citizens v114_2: State control vs. market principles v114_3: (In)Tolerance to people of other nation, race, religion
      v256: Instead of ethnic group, different nationalities relevant for Russia had been asked. Two additional questions had been asked in Russia:
    • F3: Evaluation of the income of the household (asked after v253) Please, evaluate the income rate of your household.
    1. We do not always have enough money for food
    2. We have enough money for food but buying clothing is a problem
    3. We have enough money for food, clothing and small household appliances. However, buying a TV-set, a refrigerator or washing machine would be a problem for us
    4. We can afford main household appliances. However, buying a car would be a problem
    5. We have enough savings almost for everything except for such expensive things as an apartment or a country house
    6. We dont have any financial difficulties. We can afford buying an apartment or a country house
    • v260: Size of household (asked at the end of the interview) WVS question number or description of question: V50 to V54 V57 to V58 V91 to V94 V105 to V113 V115 V117 V122 to V124 V164 to V176 V178 to V183 V188 to V191 V193 to V197 V210 to V221 V231 to V233 V240 V248 to V252
      Reason(s) not included: Short questionnaire, GfK survey

    Data collection

    Dates of Data Collection
    Start End
    2006-02-13 2006-03-10
    Data Collectors
    Name
    GfK RUS
    Data Collection Notes

    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

    Estimates of Sampling Error

    +/- 2,2%

    Access policy

    Location of Data Collection

    World Values Survey

    Archive where study is originally stored

    World Values Survey http://www.worldvaluessurvey.org/WVSContents.jsp Cost: None

    Data Access

    Citation requirements

    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.

    Disclaimer and copyrights

    Disclaimer

    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

    Contacts
    Name Affiliation Email URL
    Director of the WVSA Archive WVSA Data Archive jdiezmed@jdsurvey.net http://www.worldvaluessurvey.org

    Metadata production

    DDI Document ID

    DDI_RUS_2006_WVS-W5_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2020-02-19

    Metadata version

    DDI Document version

    Version 01 (February 2020)

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