An Interdisciplinary Scientific and Logic Approach to Political and Social Science Research
41 Pages Posted: 3 Feb 2014 Last revised: 27 Jan 2015
Date Written: January 26, 2015
This research applies three interdisciplinary scientific skills for enhancing the logical validity of political and social science research findings. Tools are provided for visualizing, detecting, and measuring asymmetrical relationships of necessary or sufficient conditions. The methodological approaches and techniques provide a clear and comprehensive explanation of what constitutes empirical evidence in support of deterministic or probabilistic causal relationships by integrating basic principles of logical inference, combinatorics, uniform units of analysis, and statistical functions. Systematic application of well-known rules of logic for both quantitative and qualitative research reduces type I and type II errors in empirical investigations involving equifinal conjunctively complex causality.
Keywords: causal inference, empirical proof, sufficient condition, necessary condition, QCA, CNA, coincident
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