TY - JOUR
T1 - Multiple perspectives on inference for two simple statistical scenarios
AU - van Dongen, Noah N.N.
AU - van Doorn, Johnny B.
AU - Gronau, Quentin F.
AU - van Ravenzwaaij, Don
AU - Hoekstra, Rink
AU - Haucke, Matthias N.
AU - Lakens, Daniel
AU - Hennig, Christian
AU - Morey, Richard D.
AU - Homer, Saskia
AU - Gelman, Andrew
AU - Sprenger, Jan
AU - Wagenmakers, Eric Jan
PY - 2019/3/29
Y1 - 2019/3/29
N2 - 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.
AB - 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.
KW - Frequentist or Bayesian
KW - Multilab analysis
KW - Statistical paradigms
KW - Testing or estimation
UR - http://www.scopus.com/inward/record.url?scp=85063200218&partnerID=8YFLogxK
U2 - 10.1080/00031305.2019.1565553
DO - 10.1080/00031305.2019.1565553
M3 - Article
AN - SCOPUS:85063200218
SN - 0003-1305
VL - 73
SP - 328
EP - 339
JO - American Statistician
JF - American Statistician
IS - sup1
ER -