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Replication data for: Making the Most of Statistical Analyses: Improving Interpretation and Presentation

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Making the Most of Statistical Analyses: Improving Interpretation and Presentation
 
Identifier https://doi.org/10.7910/DVN/BDWIC3
 
Creator King, Gary
Tomz, Michael
and Wittenberg, Jason
 
Publisher Harvard Dataverse
 
Description 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 of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities. In this article, we offer an approach, built on the technique of statistical simulation, to extract the currently overlooked information from any statistical method and to interpret and present it in a reader-friendly manner. Using this technique requires some expertise, which we try to provide herein, but its application should make the results of quantitative articles more informative and transparent. To illustrate our recommendations, we replicate the results of several published works, showing in each case how the authors' own concl
usions can be expressed more sharply and informatively, and, without changing any data or statistical assumptions, how our approach reveals important new information about the research questions at hand. We also offer very easy-to-use
Clarify software that implements our suggestions.

See also: Unifying Statistical Analysis
 
Subject Social Sciences
 
Date 2000