Harmonization in the world values survey
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Harmonization in the world values survey. / Kizilova, Kseniya; Diez-Medrano, Jaime; Welzel, Christian et al.
Survey Data Harmonization in the Social Sciences. Hrsg. / Irina Tomescu-Dubrow; Christof Wolf; Kazimierz M. Slomczynski; J. Craig Jenkins. Wiley Blackwell Japan, 2024. S. 39-56.Publikation: Beiträge in Sammelwerken › Kapitel › begutachtet
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TY - CHAP
T1 - Harmonization in the world values survey
AU - Kizilova, Kseniya
AU - Diez-Medrano, Jaime
AU - Welzel, Christian
AU - Haerpfer, Christian
N1 - Publisher Copyright: © 2024 John Wiley & Sons Inc. Published 2024 by John Wiley & Sons Inc. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This chapter summarizes the practices applied and challenges experienced by the World Values Survey (WVS) in the survey harmonization procedures. Since its emergence back in 1981 in partnership with the European Values Study, the WVS's initial goal was to produce comparable cross-country survey data. Due to this aim, input and ex-ante output harmonization have prevailed as the main data harmonization paradigm throughout the whole WVS's history. The main subject of harmonization in the WVS remains its measurement instrument - the WVS master survey questionnaire. Input harmonization is applied to all core and majority of demographic and socioeconomic variables, including income and occupation group; ex-ante output harmonization methods are used for country-specific variables such as religious and ethnic belonging, education level, and spoken language. Substantial harmonization efforts in the most recent WVS survey round (2017-2021) are dedicated to the utilization of the ISCED-2011 international classification of education levels, ISO 639-1 (alpha-2 and alpha-3) list of language codes, and a new common target variable for the respondents' religious belonging. To further improve data comparability, the WVS has pursued an input harmonization of sampling and survey methodology by requiring all national surveys to follow common provisions on the sample design and interview procedures. Pre-survey validation was introduced to ensure compliance with the official questionnaire and sampling rules. Data harmonization in the WVS has been powered by its own software "JDSurvey" developed by the WVS Data archive.
AB - This chapter summarizes the practices applied and challenges experienced by the World Values Survey (WVS) in the survey harmonization procedures. Since its emergence back in 1981 in partnership with the European Values Study, the WVS's initial goal was to produce comparable cross-country survey data. Due to this aim, input and ex-ante output harmonization have prevailed as the main data harmonization paradigm throughout the whole WVS's history. The main subject of harmonization in the WVS remains its measurement instrument - the WVS master survey questionnaire. Input harmonization is applied to all core and majority of demographic and socioeconomic variables, including income and occupation group; ex-ante output harmonization methods are used for country-specific variables such as religious and ethnic belonging, education level, and spoken language. Substantial harmonization efforts in the most recent WVS survey round (2017-2021) are dedicated to the utilization of the ISCED-2011 international classification of education levels, ISO 639-1 (alpha-2 and alpha-3) list of language codes, and a new common target variable for the respondents' religious belonging. To further improve data comparability, the WVS has pursued an input harmonization of sampling and survey methodology by requiring all national surveys to follow common provisions on the sample design and interview procedures. Pre-survey validation was introduced to ensure compliance with the official questionnaire and sampling rules. Data harmonization in the WVS has been powered by its own software "JDSurvey" developed by the WVS Data archive.
KW - Data harmonization
KW - Ex-ante harmonization
KW - Harmonization methods
KW - Survey documentation
KW - World Values Survey
KW - Politics
UR - http://www.scopus.com/inward/record.url?scp=85179560673&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/7aa64f75-10c9-3dc6-bd0a-aac2a9bbab92/
UR - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119712206
U2 - 10.1002/9781119712206.ch3
DO - 10.1002/9781119712206.ch3
M3 - Chapter
AN - SCOPUS:85179560673
SN - 9781119712176
SP - 39
EP - 56
BT - Survey Data Harmonization in the Social Sciences
A2 - Tomescu-Dubrow, Irina
A2 - Wolf, Christof
A2 - Slomczynski, Kazimierz M.
A2 - Jenkins, J. Craig
PB - Wiley Blackwell Japan
ER -