HUN_2009_WVS-W5_v01_M
World Values Survey 2009
Wave 5
Name | Country code |
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Hungary | HUN |
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 Hungary.
The WVS for Hungary covers national population aged 18 years and over, for both sexes.
Name | Affiliation |
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István György Tóth | TARKI Social Research Institute |
Tamás Keller | TARKI Social Research Institute |
Anikó Balogh | TARKI Social Research Institute |
Name | Affiliation |
---|---|
Melinda Tir, Blanka Páthy-Dencso | TARKI Social Research Institute |
Éva Fáklya | TARKI Social Research Institute |
Valéria Németh | TARKI Social Research Institute |
Annamária Tátrai | TARKI Social Research Institute |
Endre Szabó | TARKI Social Research Institute |
Magdolna Várnai | TARKI Social Research Institute |
We use probability sample that had been selected in multiple stages with proportional stratification. In the first stage, localities are chosen. In the second stage, the respondents were chosen from the localities with simple random sampling. In the first stage, locality strata have been created and the localities were chosen from these strata with the help of random sampling. All the regions (7) are involved into the sample. For each region 1 additional town and 2-3 villages are selected. In addition, the capital, Budapest is always included into the selected localities, because 20% of Hungarian population live there. About 70 localities are selected. Then, the number of respondents in the previously chosen localities has been defined in accordance with the proportion of the population of the given strata - regions, and different types of localities (towns and villages) within the regions.
Thus, it is assured that each adult with an address in Hungary had equal probability to become a sample member. Random walking The random walking method is a quite widely used sampling method. The underlying idea of this method is that fieldworkers do not receive names and addresses, but a starting point and a route in all sample localities and a standardised procedure to select the individuals to be asked in the selected household. Choosing the localities and the streets When using the random walking method, the sample of localities is created as a first step, with the same method as it was detailed in the previous chapter. After creating the locality sample, the streets are defined with the help of a random technique using a database containing all the street names in the selected localities. The selected streets serve as starting points for the interviewers. Our interviewers receive pre-numbered questionnaires. All visited addresses are recorded on a list. This list contains the identification number of the completed questionnaires, the adapted Leslie Kish key of the sample member, his/her name, his/her address, and codes representing the success or the reason of the fallout. Choosing the house As the street is defined for the interviewers, he/she can freely choose the first house between the street numbers 1 and 4. On the side of the chosen house, the interviewer must select every fourth house/house gate as a sample house. At the end of the street, the interviewer has to proceed on the other side of the street. If one of the houses falls out, for some reason (e.g. it is inhabitable, one-flat house and the household member refuses to participate in the research), it has to be documented on the list (code of fall-out) and carry on the interviews in the next fourth house. Choosing the flat If there is more than one flat in the house, and the house has only a ground floor, than the second flat should be picked. and the house has one floor, then the second flat on the first floor should be chosen. and the house has an odd number of floors, than the second flat of the middle floor should be chosen (e.g. the house has five floors than the second flat of the third floor should be chosen). - and the house has an even number of floors, than the floor number should be halved and second flat on that floor should be included into the sample (e.g. the house has four floors than the second flat on the second floor should be chosen). The second flat is the one that is the second from the gate or the house entrance. All chosen addresses have to be administered on the list. Choosing the person answering the questionnaire The interviewer has to contact the family living in the chosen flat/house. Contact is considered successful if the interviewer could talk to one of the adults living in that flat. The person to be interviewed is chosen with the help of the key belonging to that flat. This above-mentioned key running from one to six belongs to a pre-defined table (adapted Leslie Kish keys). The rows and columns of the tables make up a matrix which makes it possible that all adult persons living in the same flat have an equal chance to become a sample member, independently from the household size. (The tables are found on the back of the covers of each questionnaire.) This page contains six numbered tables. The key number and the table number has to be matched and based on the information provided by an adult family member, the person to be interviewed is to be picked. This person is defined by the cell of the table where the rows contain the number of persons above 18 years old in the family, and the columns contain the number of males living the same family. The person to be interviewed has to be older than 18.
The sample size for Hungary is N=1007.
A – Total issued (total sample) 2803
B – Ineligible: address vacant (79), wrong ages(275) 354
C - (=A - B) Total eligible (in scope sample) 2449
D – Total questionnaires received 1007
E - (= C - D; = F+ G + H + I ) Total non-response 1442
F – Refusals (refusing to take part) 1006
G – Non-contact (never contacted) 143
H – Respondent too sick/incapacitated to participate 26
I – Respondent away during survey period 267
Remarks about non-response:
The regional instructors hand over the questionnaires to our post-fieldworkers working at the Budapest headquarters of TÁRKI. Post-fieldworkers responsibilities are: further, standardised fill-in control; coding open questions and recording data. The number of the post-fieldworkers ranges from 5 to 25 depending on the given research. Besides of this regional control, a central controller is employed in TARKI, who has not daily personal connection with the interviewers. After the results of logical control of data based on computer, and the reports of post-fieldworkers, she conducts an additional control of interviewers or regions where the mistakes or problems seem to be frequent. She controls personally or with the help of phone, or with letter of checking. She is responsible for inspect the controlling work of regional instructors as well.
For the weighting process, the expected social-demographic frequencies are determined by the latest relevant database of the Central Statistical Office, that currently is the National Census from 2001, to complete Microcenzus 2005. The sample is weighted by considering the joint frequencies of four demographic factors:
Questionary in hungarian. All our questionnaires are carefully designed. Experts of all kind participate in the process: experienced interviewers, instructors, researchers. The draft questionnaires are always piloted in order to reduce mistakes and ambivalence. Great emphasis is laid on trying to prevent mistakes that can be proved incorrectable later.
Start | End |
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2009-03-14 | 2009-04-02 |
Name |
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TARKI Social Research Institute |
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_HUN_2009_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)