Publicação
PORTUGAL WAVE 3. Pre-election Study
| Resumo: | 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 is to be carried out just before and just after the legislative elections. This report pertains to the pre-election panel of Portugal legislative elections 2019 held on 6 October. Our questionnaire seeks to model the political context of political choices, and to understand the importance that European attitudes may have in voting behaviour. In Portugal, we have partnered with Netquest. We present in this report a number of political attitudes according to stated partisanship in Portugal. 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 >18 years old using the Census 2011 data. The sample size is 1540. The fieldwork was done using the Netquest online panel and took place between 19/08/2019 and 19/09/2019. The sample followed and fulfilled a socio demographic matrix which crossed three quotas: gender (male, female); age (18-34; 35-54; 55+); education (less than secondary; secondary; more than secondary). The resulting dataset was weighted according to a weight combining gender (male, female), age (18-34; 35-54; 55+), and education (up to secondary; secondary; postsecondary). Our sample included weights above 2 for less than 10% of the sample. 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 again, 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 1% or more of respondents identify with. Throughout the report, we will only highlight differences that are substantive, meaning that the differences are statistically significant. |
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| Autores principais: | Lobo, Marina Costa |
| Outros Autores: | Santos, Nelson; Silva, Tiago; Nina, Susana Rogeiro; Heyne, Lea |
| Assunto: | Eurozone Crisis Portugal Political attitudes |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | relatório |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | 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 is to be carried out just before and just after the legislative elections. This report pertains to the pre-election panel of Portugal legislative elections 2019 held on 6 October. Our questionnaire seeks to model the political context of political choices, and to understand the importance that European attitudes may have in voting behaviour. In Portugal, we have partnered with Netquest. We present in this report a number of political attitudes according to stated partisanship in Portugal. 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 >18 years old using the Census 2011 data. The sample size is 1540. The fieldwork was done using the Netquest online panel and took place between 19/08/2019 and 19/09/2019. The sample followed and fulfilled a socio demographic matrix which crossed three quotas: gender (male, female); age (18-34; 35-54; 55+); education (less than secondary; secondary; more than secondary). The resulting dataset was weighted according to a weight combining gender (male, female), age (18-34; 35-54; 55+), and education (up to secondary; secondary; postsecondary). Our sample included weights above 2 for less than 10% of the sample. 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 again, 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 1% or more of respondents identify with. Throughout the report, we will only highlight differences that are substantive, meaning that the differences are statistically significant. |
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