2nd Pre-release EVS 2017

The integrated dataset of EVS 2017 is accessible through the Data Catalogue of the Data Archive at GESIS- Leibniz Institute for the Social Sciences

EVS 2017 Integrated Dataset, ZA7500, v.2.0.0 (2019-07-15), doi:10.4232/1.13314.

Suggested citation: EVS (2018): European Values Study 2017: Integrated Dataset (EVS 2017). GESIS Data Archive, Cologne. ZA7500 Data file Version 2.0.0, doi:10.4232/1.13314

 For further information on data download, see Data Access.

Documentation: as of 2019-07-15

What is new in the 2nd pre-release?

  • 14 new countries: Albania, Azerbaijan, Denmark, Estonia, Finland, France, Great Britain, Hungary, Italy, Lithuania, Norway, Romania, Serbia, Sweden

    Documentation

    Documentation – Overview of all documentation provided on the Integrated Dataset of the 2nd pre-release of EVS 2017
    Participating countries and country-information – Overview of documentation provided on the national datasets of EVS 2017

    Participating countries and study design

    The integrated dataset of the second pre-release of EVS2017 includes data from 30 countries:

    Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Bulgaria (BG); Belarus (BY); Switzerland (CH); Czechia (CZ); Germany (DE); Denmark (DK); Estonia (EE); Spain (ES); Finland (FI); France (FR); Great Britain (GB); Georgia (GE); Croatia (HR); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT);  Netherlands (NL); Norway (NO); Poland (PL); Romania (RO); Serbia (RS); Russia (RU); Sweden (SE); Slovenia (SI); Slovakia (SK)

    For an overview of countries participating in several EVS waves, click here.

    Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. The sample size was set as effective sample size: 1200 for countries with a population over 2 million, 1000 for countries with a population less than 2 million. Some countries deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland, and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode.

    Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent.

    The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights.  

    In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the second pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI); in Germany, Netherlands, Iceland, Switzerland, Finland and Denmark additionally self-aministered mode (CAWI/Mail) was used.

    The EVS 2017 Master Questionnaire was provided in English and each National Program Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).