Interim Survey Data Analysis: Introduction

Sections: Introduction -> Survey Details -> Sample Information -> Survey Items -> Hypotheses and Analyses of Models -> Conclusion

 

Drawing on the theories outlined in the literature review four parts of the explanation of individual political activity can be identified. First are the background characteristics such as sex, ethnicity, and occupational class which constitute the basic components of any model. Second are the components of the Civic Voluntarism Model; resources, engagement, and recruitment. Third are elements of Bourdieu’s economic, cultural, and social capital that are not covered by the Civic Voluntarism Model. Fourth, and finally, are the elements of perception of privilege in the form of explanations for differences in status in society, explanations for own status, and assessment of own status. These four sets of variables can be considered elements of one overarching model or can be treated as separate models in and of themselves. Here, original survey evidence is brought to bear on these possibilities. Models with the four elements added cumulatively are considered first, before the performance of each of the elements alone is assessed.

Before presenting the interim analysis of the survey data it is helpful to provide some background on how that data was obtained. As such, details of the survey that the data stems from is outlined before information on the sample is presented. The content of the survey items that underpin the analysis is then enumerated before the hypotheses are presented and the analyses are considered. As the preceding paragraph suggested the analyses will be presented first cumulatively, with each element added to the one preceding it to build the full model. The four elements are then compared against each other, and these comparisons inform the bulk of the final interim observations. In conclusion, important variables at play are found in all four elements of the full model, suggesting the need for more complex analyses. Further, recruitment is identified as a particularly strong predictor variables that requires further examination.

Sections: Introduction -> Survey Details -> Sample Information -> Survey Items -> Hypotheses and Analyses of Models -> Conclusion

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