Empirical Study: British Election Study survey data collected in 2017

Festus M.

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Empirical Study: British Election Study survey data collected in 2017

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Empirical study, survey data, bribtish election study, variable, bivariate analysis, crosstabulation

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Abstract

The BES survey data collected in 2017 is an excellent dataset for the understanding and analyses of voter conduct during a very important political period. Data collected in 2017 from the BES survey include face-to-face surveys, internet panel data and cross-section information. The face-to-face survey is an address-based random probability sample of eligible voters living in the 468 wards under 234 parliamentary constituencies. The internet panel data provides valuable information on how the opinions and behaviours of more than half a thousand respondents change over time. Donors with such rich and varied data make the BES an excellent base for in-depth analysis of the UK general election in 2017, particularly as it relates to British politics (Poguntke et al. 2 In this report, we are interested in exploring two types of variables/questions from the dataset to discover useful understandings. In light of an ever-changing political landscape, it is crucial to analyze voters' sentiments and conduct as well the 2017 BES dataset provides a broad view of these concerns. This report aims to expose the empirical conclusions that are gained from our analysis of selected variables, highlighting some key aspects of electoral structure.

Methods
Hypothesis
Description of the two variables
Bivariate Analysis Results
1. Crosstabulation
2. Chi-Square Test
Conclusion

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[...] Description of the two variables In this study, party identification and voting behaviour are the two main variables. Party identification is a binary variable measuring the party affiliation of the respondent. To describe the distribution of these variables, we can resort to frequency tables and bar charts. The number of respondents identified with each political party is indicated in the table of frequencies for party identification. The bar chart for party identification displays the percentage of respondents who identified with each political party. [...]

[...] Donors with such rich and varied data make the BES an excellent base for in-depth analysis of the UK general election in 2017, particularly as it relates to British politics (Poguntke et al In this report, we are interested in exploring two types of variables/questions from the dataset to discover useful understandings. In light of an ever-changing political landscape, it is crucial to analyze voters' sentiments and conduct as well the 2017 BES dataset provides a broad view of these concerns. This report aims to expose the empirical conclusions that are gained from our analysis of selected variables, highlighting some key aspects of electoral structure. Methods The British election study survey dataset shows different aspects of the 2017 general elections held in Britain. [...]

[...] Using the Statistical Package for Social Sciences (SPSS), a quantitative examination of how party identification impacts voting preference will be conducted. Hypothesis It is posited that there has been a strong correlation between party affiliation and voting patterns among the UK general election respondents in 2017 (Darrington 2018). In terms of the null hypothesis, no detectable connection between party identification and voting behaviour exists. We base our expectations of a relationship between party identification and voting behaviour on the assumption that individuals who have strong loyalty to political parties are more likely to vote for that particular party (Johnston, Pattie & Hartman 2019). [...]

[...] References 2017 Election BES Internet Panel Data Released - The British Election Study 2017, Britishelectionstudy.com, viewed 15 November 2019, . British Election Study 2017 Face-to-face survey v1.0: Release note - The British Election Study 2017, Britishelectionstudy.com. Darrington, J 2018, Research Guides: Political Opinion & Survey Data Sources: International Public Opinion, libguides.princeton.edu. Data Categories Cross-sectional data - The British Election Study n.d., www.britishelectionstudy.com. Fisher, J & Sällberg, Y 2020, 'Electoral integrity - The winner takes it all? Evidence from three British general elections, The British Journal of Politics and International Relations, vol no pp. [...]

[...] Party Identification (Variable/Question This categorical measure captures the respondent's self-reported party affiliation. The categories encompass notable parties, including Conservative, Labour, Liberal Democrat UKIP SNP Plaid Cymru Green Party and others. This variable reveals how the respondents were distributed in terms of political affiliation. 2. Voting Behavior (Variable/Question The categorical variable represents the respondent's self-declared vote in the UK general election of 2017. Categories are major political parties such as the Conservative, Labour, Liberal Democrat UKIP SNP Plaid Cymru Green Party and others. [...]

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