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 repl...
This article presents two methods of estimating a study’s replicability that researchers should cons...
Statistical methods are reported in a scientific paper to summarise the data that has been collected...
Statistical inference often fails to replicate. One reason is that many results may be selected for ...
Bayesian simulation is increasingly exploited in the social sciences for estimation and inference of...
Numerical issues matter in statistical analysis. Small errors occur when numbers are translated from...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
International audienceResponse distributions in social psychology papers are usually summarized by m...
In this paper, we present statistical simulation techniques of interest in substantial interpretatio...
Social scientists study complex phenomena about which they often propose intricate hypotheses tested...
Replication1 is seen as a key characteristic of natural science (Collins, 1985; Jasny et al., 2011);...
Empirical analyses in social science frequently confront quantitative data that are clustered or gro...
Although published works rarely include causal estimates from more than a few model specifications, ...
Experimentalists desire precise estimates of treatment effects and nearly always care about how trea...
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and es...
Social sciences offer particular challenges to statistics due to difficulties such as conducting ran...
This article presents two methods of estimating a study’s replicability that researchers should cons...
Statistical methods are reported in a scientific paper to summarise the data that has been collected...
Statistical inference often fails to replicate. One reason is that many results may be selected for ...
Bayesian simulation is increasingly exploited in the social sciences for estimation and inference of...
Numerical issues matter in statistical analysis. Small errors occur when numbers are translated from...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
International audienceResponse distributions in social psychology papers are usually summarized by m...
In this paper, we present statistical simulation techniques of interest in substantial interpretatio...
Social scientists study complex phenomena about which they often propose intricate hypotheses tested...
Replication1 is seen as a key characteristic of natural science (Collins, 1985; Jasny et al., 2011);...
Empirical analyses in social science frequently confront quantitative data that are clustered or gro...
Although published works rarely include causal estimates from more than a few model specifications, ...
Experimentalists desire precise estimates of treatment effects and nearly always care about how trea...
Inferences about counterfactuals are essential for prediction, answering "what if" questions, and es...
Social sciences offer particular challenges to statistics due to difficulties such as conducting ran...
This article presents two methods of estimating a study’s replicability that researchers should cons...
Statistical methods are reported in a scientific paper to summarise the data that has been collected...
Statistical inference often fails to replicate. One reason is that many results may be selected for ...