By Gary Goertz
Some within the social sciences argue that a similar common sense applies to either qualitative and quantitative equipment. In A story of 2 Cultures, Gary Goertz and James Mahoney show that those paradigms represent diversified cultures, each one internally coherent but marked by means of contrasting norms, practices, and toolkits. They establish and talk about significant variations among those traditions that contact approximately each point of social technological know-how learn, together with layout, pursuits, causal results and types, options and dimension, information research, and case choice. even though interested in the variations among qualitative and quantitative study, Goertz and Mahoney additionally search to advertise toleration, trade, and studying by means of permitting students to imagine past their very own tradition and spot another medical worldview. This booklet is written in an simply obtainable variety and contours a number 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
Third, a standard statistical reaction when faced with heteroskedastic data is to transform the variables to achieve constant variance. This transfor mation may be essential for valid statistical inference in the quantitative tradition. By contrast, qualitative researchers do not usually make such transformations. For them, transforming a variable often entails changing its meaning. Such transformations are not appropriate unless one can show that they increase the meaning of the underlying concepts being analyzed (see the chapter "Semantics, Statistics, and Data Transformations").
The substantive importance of necessary condition hypotheses. In Necessary conditions: theory, methodology, and applications, edited by G. Goertz and H. Starr. New York: Rowman & Littlefield. Goertz, G. 2006. Assessing the trivialness, relevance, and relative importance of necessary or sufficient conditions in social science. Studies in Comparative International Development 41:88-109. , H. Kahane, and P. Tidman. 2010. introduction, 11th edition. Boston: Wadsworth. , and R. Franzese. 2008. Modeling and interpreting interactive hypotheses in regression analysis: a brief refresher and some practical advice.
J. 2005. The scientific model of causality. Sociological Methodology 35:1-97. Holland, P. 1986. Statistics and causal inference (with discussion). Journal of the American Statistical Association 81:945-60. King, G. 1986. How not to lie with statistics: avoiding common mistakes in quantitative political science. American Journal of Political Science 30:666-87. King, G. 1991. "Truth" is stranger than prediction, more questionable than causal inference. American Journal of Political Science 35:1047-53.
A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences by Gary Goertz