1,721,099 research outputs found

    Surveys and sampling

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    Political sophistication and issue voting: an intra-individual level analysis

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    Much attention in political science has been devoted to an explication of how voters make use of issues to guide political preferences. The extant literature suggests that, while sophisticated voters make greater use of issue proximity in their electoral calculus, issues remain important to even the least politically knowledgeable of citizens. The empirical investigations on which this conclusion is based have relied on analysis of cross-sectional data. In this paper we use repeated measures data to investigate how intraindividual change in measures of issue proximity is related to intraindividual change in party evaluations. Individual change in the distance respondents place themselves from a party is shown to be strongly associated with change in evaluations of the party over the same time period but this relationship is moderated by existing levels of political awareness. For less sophisticated voters, neither a directional nor a spatial model of issue proximity appears to apply.</p

    Evaluating change in social and political trust in Europe using multiple group confirmatory factor analysis with structured means

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    In social science, we typically work with measures that are laden with error. This chapter provides a non-technical introduction to the use of confirmatory factor analysis for cross-national comparisons that include mean structures and control for measurement errors. This method allows for the testing of hypotheses about group mean differences on unobserved, latent variables instead of manifest composite variables such as summated scales or factor score estimates. The method is demonstrated with an analysis of social and political trust in Europe in three waves of the European Social Survey

    Public confidence in the police: a time-series analysis

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    Empirical analyses of the causes of public confidence in policing have been based almost entirely on cross-sectional survey data, with a consequent focus on between-group differences in levels of confidence at a single point in time. Our aim here is to introduce a time dimension to this area of investigation. Employing repeated cross-sectional survey data from the British Crime Survey, we apply time-series regression methods to show how confidence in policing changes over time for the aggregate population. Counter to cross-sectional findings, time series analyses reveal that confidence in the police is not related to aggregate worry about crime and perceptions of social cohesion, nor informal social control, but only to perceptions of crime and the property crime rate
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