作者: Michael Tomz , Jason Wittenberg , Gary King
DOI:
关键词: Presentation 、 Management science 、 Statistical analyses 、 Degree of certainty 、 Statistical assumption 、 Computer science 、 Statistical simulation 、 Data science 、 Software 、 Replicate 、 Interpretation (philosophy)
摘要: Social Scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are greatest substantive interest for research and express appropriate degree certainty about these quantities. In this article, we offer an approach, built on technique simulation, extract currently overlooked from any method interpret it reader-friendly manner. Using requires some expertise, which try provide herein, but its application should make results quantitative articles more informative transparent. To illustrate our recommendations, replicate several published works, showing each case how authors' own conclusions can be expressed sharply informatively, and, without changing data or assumptions, approach reveals important new questions at hand. We also very easy-to-use Clarify software implements suggestions.