Titlebook: Research Design in Political Science; How to Practice what Thomas Gschwend (Senior Research Fellow),Frank Sch Book 2007 Palgrave Macmillan,

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Selecting Independent Variables: Competing Recommendations for Factor-Centric and Outcome-Centric Ren the one hand, it is practically impossible to include all variables that could possibly have any explanatory value. On the other hand, it is equally problematic to focus completely on one variable considered important and thereby ignore all others. This chapter discusses some basic methodological

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Discriminating among Rival Explanations: Some Tools for Small-n Researcherslopments, the general social scientific literature, historical accounts and claims by participants can furnish a series of competing hypotheses. Unless one account is privileged by really incontrovertible evidence, such as the often-cited ‘smoking gun’, discriminating among these potential explanati

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Falsification in Theory-Guided Empirical Social Research: How to Change a Tire while Riding Your Bicit is. In this chapter, however, I intend to show that in the course of empirical social research, it can be extremely useful to change your theory in the middle of the research process. I intend to show that in order to come to insights we did not have before, it is necessary to continue our attemp

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Conclusion: Lessons for the Dialogue between Theory and Data on the other dimension, we distinguished . and . research designs according to the number of observations. Yet we also claimed that, no matter which research design we use, we all face the same set of core research design issues: Defining the research question and problem, specifying concepts and t

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Case Selection and Selection Bias in Small-n Researcho approaches — and for good reasons. Whilst large-n studies generally seek representativeness, for example by random sampling, case selection in small-n research usually follows an intentional logic. Intentional does not, however, mean arbitrary. In the end, the types of cases you select determine which inferences you can draw.

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Conclusion: Lessons for the Dialogue between Theory and Datasions from the empirical analysis. Each of the preceding chapters then took on one of these issues and explicated the challenges, and also provided some hands-on advice on how to deal with these challenges.

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Introduction: Designing Research in Political Science — A Dialogue between Theory and Datacore issues of research design. How you deal with theses challenges defines the research design for your individual projects. A research design is a plan that specifies how you plan to carry out your research project and, particularly, how you expect to use your evidence to answer your research question.

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Selecting Independent Variables: Competing Recommendations for Factor-Centric and Outcome-Centric Re problematic to focus completely on one variable considered important and thereby ignore all others. This chapter discusses some basic methodological choices which must be confronted when selecting independent variables for a research project and the trade-offs associated with these choices.

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Falsification in Theory-Guided Empirical Social Research: How to Change a Tire while Riding Your Bic the middle of the research process. I intend to show that in order to come to insights we did not have before, it is necessary to continue our attempts to reformulate not just some minor hypotheses, but also the central hypotheses of our theory.

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