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Creators/Authors contains: "van Ravenzwaaij, Don"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Computational Brain & Behavior)
    Abstract van Doorn et al. (2021) outlined various questions that arise when conducting Bayesian model comparison for mixed effects models. Seven response articles offered their own perspective on the preferred setup for mixed model comparison, on the most appropriate specification of prior distributions, and on the desirability of default recommendations. This article presents a round-table discussion that aims to clarify outstanding issues, explore common ground, and outline practical considerations for any researcher wishing to conduct a Bayesian mixed effects model comparison. 
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  2. ; ; ; ; ; ; ; ; ; ; et al (, Psychonomic Bulletin & Review)
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  3. ; ; ; ; ; ; ; ; ; ; et al (, eLife)
    Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research. 
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