Multiple Perspectives on Inference for Two Simple Statistical Scenarios

Noah N. N. van Dongen, Johnny B. van Doorn, Quentin F. Gronau, Don van Ravenzwaaij, Rink Hoekstra, Matthias N. Haucke, Daniel Lakens, Christian Hennig, Richard D. Morey, Saskia Homer, Andrew Gelman, Jan Sprenger, Eric-Jan Wagenmakers

OnderzoeksoutputAcademicpeer review

11 Citaten (Scopus)
256 Downloads (Pure)

Samenvatting

When data analysts operate within different statistical frameworks (e.g., frequentist versus Bayesian, emphasis on estimation versus emphasis on testing), how does this impact the qualitative conclusions that are drawn for real data? To study this question empirically we selected from the literature two simple scenarios-involving a comparison of two proportions and a Pearson correlation-and asked four teams of statisticians to provide a concise analysis and a qualitative interpretation of the outcome. The results showed considerable overall agreement; nevertheless, this agreement did not appear to diminish the intensity of the subsequent debate over which statistical framework is more appropriate to address the questions at hand.

Originele taal-2English
Pagina's (van-tot)328-339
Aantal pagina's12
TijdschriftAmerican statistician
Volume73
DOI's
StatusPublished - 2019

Citeer dit