By B. Guy Peters
Written by way of a popular determine within the box, this e-book offers an obtainable creation to comparative technique. Drawing on quite a lot of methods all through, it's crucial interpreting for an individual eager to comprehend or learn during this significant quarter of political technology.
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Extra info for Strategies for Comparative Research in Political Science
Example text
To the extent that cross-system comparisons are made with time series analysis, those comparisons would be made across the patterns that are manifested within individual countries across time. If statistical analysis of developmental patterns is done within countries, the outcomes of that analysis, such as the degree of fit with the statistical model, or the slope of the regression line (as a measure of effect) could be compared. Diagnostics might also be used to determine if there had been significant changes in the relationships of variables across time.
In other cases, the dependent variable may be a limited range of responses of governments to changing economic fortunes (Gourevitch, 1986; Taylor, 2009). In others, it may be a continuous variable, such as per capita expenditures for social welfare in a range of countries (Hicks and Swank, 1992; Gupta, 2001), that appears much more like what we usually think of as a variable. For qualitative case studies, the dependent variable may be changes in observed configurations of political power, or the nature of the decisions taken by political elites, with those differences often being very subtle.
These rather straightforward research questions are the foundations of research design, just as they might be the focus of historiography in a neighboring discipline. This book is intended to help the reader answer these questions, although the style of answering them may be different from those usually encountered in many parts of the discipline. 30 Strategies for Comparative Research in Political Science interactions among variables make claims of causation suspect at best. In his analysis of causation, Mill presented three conditions that could be satisfied in order to demonstrate a causal connection between ‘variables’: 1.