DOI: 10.1080/00031305.1996.10474398
关键词: Econometrics 、 Statistics 、 Statistical significance 、 Research design 、 Statistical power 、 Process (engineering) 、 Replication (statistics) 、 Scientific consensus 、 Computer science 、 Scientific progress 、 Type I and type II errors
摘要: Abstract The purpose of this paper is to examine the impact low statistical power on process research replication. traditional model interpreting success replication efforts emphasizes results significance testing. Serious errors in interpretation replicated studies may occur if focus only significance. Correct probability must include a consideration and related factors such as effect size type 2 error rates. Examples are provided illustrating importance power, size, rates developing scientific consensus based repeated experimental trials. establishment an empirical essential progress be improved by use aggregated where determining degree rather than dichotomous decision Consensus...