Assignment Instructions

Explaining Politics: Quantitative Political Science in Practice.

Explaining Politics: Quantitative Political Science in Practice] Any coursework or examined submission for assessment where plagiarism, recycling of work

Explaining Politics: Quantitative Political Science in Practice

Brunel University London College of Business, Arts and Social Sciences Department of Social and Political Sciences Politics and History [PP2611: Explaining Politics: Quantitative Political Science in Practice]

Any coursework or examine submission for assessment where plagiarism, recycling of work, collusion or any form of cheating is suspect will be deal with according to the University processes which are detail in Senate Regulation 6. You can access information about plagiarism here. Please ensure that you fully understand what constitutes plagiarism before you submit your work. ______________________________________________________________

INSERT QUESTIONS HERE AS WELL AS ANY COURSE-SPECIFIC INSTRUCTIONS This assignment consists of a research paper (maximum 3,000 words) that addresses the question of why Labour lost the 2019 General Election. You will use SPSS to conduct an original empirical analysis using data from the 2019 British Election Study. A link to the datafile will be provided on BBL. The paper should include the following: Introduction

(1) Consider an explanation for why Labour lost the 2019 General Election based on a brief literature review.

(2) Specify a main hypothesis and identify and also discuss at least one rival hypothesis.

The rival hypothesis should have the same dependent variable as the main hypothesis but a different independent variable.

Research Methods

(1) Describe the data source

(2) Identify the dependent and independent variables and explain how they are measured.

(3) Evaluate the measures in terms of their reliability and validity.

(4) Report how the dependent variable is distributed in a figure.

Findings

(1) Select an appropriate method for testing the main hypothesis and explain why the method was chosen.

(2) Explain whether the null hypothesis has been reject using the appropriate statistic.

(3) If the null hypothesis has been reject, summarise the strength of the relationship using an appropriate measure of association and discuss the findings.

(4) Do the same for the rival hypothesis and explain whether it has (or has not) been rule out by using it as a control variable.

(5) Report the findings from the analysis in a series of tables and/or figures that were produced from the SPSS output.

Conclusions

Firstly, reflect on the implications of your findings, compare them with the secondary literature, and propose what further research might be done.

Secondly, include a full list of references.

Further, attach the original SPSS output to the end. The following criteria will be taken into consideration in assessing the project: • Indications of capability in computer aided analysis of quantitative data

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