GREECE WAVE 3 Pre-election Study

This study is part of the MAPLE Project, ERC – European Research Council Grant, 682125, which aims to study the Politicisation of the EU before and after the Eurozone Crisis in Belgium, Germany, Greece, Ireland, Portugal and Spain. In each of these countries an online panel will be carried out just before and just after the legislative elections. This report pertains to the pre-election panel of Greece legislative elections 2019 to be held on 7 July. Our questionnaire seeks to model the political context of political choices, and to understand the importance which European attitudes may have in voting behaviour. In Greece, we have partnered with Metron Analysis. We present in this report a number of political attitudes according to stated partisanship in Greece. We are interested in the way in which partisan preferences are related to political attitudes, including national issues as well as those pertaining to the EU. The target population is the general voting population aged >17 years old using the Census 2011 data. The sample size is 800. The fieldwork was done using Computer Assisted Telephone methodology and the fieldwork took place between 07/06/2019 and 21/06/2019. The sample followed and fulfilled a socio demographic matrix which crossed four quotas: gender (male, female); age (17-34; 35-55; 56-65;66+); education (up to secondary; post-secondary), as well as region (Northern, Mainland, Attica, Islands). The resulting dataset was weighted according to a weight combining gender (male, female), age (17-34; 35-55; 56-65;66+) and education (up to secondary; post-secondary) at NUTS1 level. The survey response rate was 12%. The margin of error for this survey is +/-3.5%. To measure partisanship we used the following questions: the respondent was asked if s/he felt close to a party. To those who replied no in the first question, they were asked a second time, namely if they felt closer to one party than others. Only those who repeated no in this question too were coded as “without party id”. All others were coded with their stated party identification. In the results we show all parties that 2% or more of respondents identify with.