By Gary Goertz
Some within the social sciences argue that an identical good judgment applies to either qualitative and quantitative tools. In A story of 2 Cultures, Gary Goertz and James Mahoney display that those paradigms represent assorted cultures, each one internally coherent but marked via contrasting norms, practices, and toolkits. They determine and talk about significant variations among those traditions that contact approximately each point of social technology learn, together with layout, pursuits, causal results and types, recommendations and size, facts research, and case choice. even supposing curious about the diversities among qualitative and quantitative examine, Goertz and Mahoney additionally search to advertise toleration, trade, and studying by way of permitting students to imagine past their very own tradition and notice another clinical worldview. This e-book is written in an simply available type and contours a bunch of real-world examples to demonstrate methodological points.
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Additional resources for A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences
The utility of each approach is suggested by the fact they can and sometimes do complement one another. When qualitative researchers seek to explain their specific outcomes, they often begin with existing knowledge, including prior statistical research on the effects of particular causes. Analogously, good quantitative research often takes into consideration the results of work on the causes of outcomes in particular cases. These quali tative findings may be subjected to further evaluation in a statistical analysis.
But how does the assessment of a model or causal factor work with logic or set theory? What are the criteria for assessing the "fit" of the model or the "importance" of a given causal factor? In this section, we address these questions. The ideas that we discuss are relevant to qualitative studies regardless of whether QCA is used or not. Chapter 2 32 Fit and Consistency To assess the fit of a theory or model, the basic requirement is that the theory or model make a clear prediction about the data (the prediction itself can assume many different forms).
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