A sea change in statistics:A reconsideration of what is important in the age of big data

作     者：Wenbo Guo Detmar Straub Pengzhu Zhang 

作者机构：Antai College of Economics and ManagementShanghai Jiao Tong UniversityShanghai 200052China J.Mack Robinson College of BusinessGeorgia State UniversityAtlantaGA 30303USA 

出 版 物：《Journal of Management Analytics》 (管理分析学报（英文）)

年 卷 期：2014年第1卷第4期

页      面：241-248页

学科分类：0502[文学-外国语言文学] 0202[经济学-应用经济学] 050201[文学-英语语言文学] 1202[管理学-工商管理] 05[文学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 

主　　题：p-value effect size sample size big data 

摘      要：The development of information technology(IT)in the last decade has ushered us into the‘big data’*** sampling error has been of high interest in such studies over the last century,extremely large datasets will virtually rule out the possibility that statistics generated from samples are not also true of the *** critical discussion must move on to how much the exogenous and endogenous variables explain ultimate *** stress will have to move from generalizability to explanatory *** examining the three common statistical tests–the T-value,the F-value and the beta coefficient(or‘b’in the sample)–this paper aims to show how important effect size analysis is with the trend toward larger and larger samples and big *** the end,the paper points out the gap of what the acceptable ranges of effects that appears in our sundry scientific literatures *** call for studies in this regard so that social sciences can move forward and strengthen weak theory bases,and recognize strong theories when they do appear.