2019
DOI: 10.15626/mp.2017.840
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Cumulative Science via Bayesian Posterior Passing

Abstract: This paper introduces a statistical technique known as “posterior passing” in which the results of past studies can be used to inform the analyses carried out by subsequent studies. We first describe the technique in detail and show how it can be implemented by individual researchers on an experiment by experiment basis. We then use a simulation to explore its success in identifying true parameter values compared to current statistical norms (ANOVAs and GLMMs). We find that posterior passing allows the true ef… Show more

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Cited by 12 publications
(22 citation statements)
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“…This equivalence also answers some of the questions brought up by Brand et al (2019), such as how posterior passing would perform under publication bias. Now, it is clear that we can use existing studies on traditional fixed-effects meta-analyses to answer these questions (e.g., Simonsohn, Nelson, & Simmons, 2014).…”
Section: Posterior Passing As Meta-analysissupporting
confidence: 60%
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“…This equivalence also answers some of the questions brought up by Brand et al (2019), such as how posterior passing would perform under publication bias. Now, it is clear that we can use existing studies on traditional fixed-effects meta-analyses to answer these questions (e.g., Simonsohn, Nelson, & Simmons, 2014).…”
Section: Posterior Passing As Meta-analysissupporting
confidence: 60%
“…To avoid some of the pitfalls of posterior passing, I suggest improved procedures that account for heterogeneity and publication bias. I address Brand et al (2019)'s suggestion that posterior passing avoids some of the problems of traditional meta-analyses, and discuss practical limitations in using it as a replacement for traditional meta-analysis.…”
Section: Comparing Bayesian Posterior Passing With Meta-analysismentioning
confidence: 99%
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