共 12 条
Comments and recommendations regarding the hypothesis testing controversy
被引:16
作者:
Bonett, Douglas G.
[1
]
Wright, Thomas A.
机构:
[1] Iowa State Univ, Dept Stat, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Psychol, Ames, IA 50011 USA
[3] Univ Nevada, Managerial Sci Dept, Reno, NV 89557 USA
关键词:
D O I:
10.1002/job.448
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Hypothesis tests are routinely misinterpreted in scientific research. Specifically, the failure to reject a null hypothesis is often interpreted as support for the null hypothesis while the rejection of a null hypothesis is often interpreted as evidence of an important finding. Many of the most frequently used hypothesis tests are "non-informative" because the null hypothesis is known to be false prior to hypothesis testing. We discuss the limitations of non-informative hypothesis tests and explain why confidence intervals should be used in their place. Several examples illustrate the use and interpretation of confidence intervals. Copyright (c) 2007 John Wiley & Sons, Ltd.
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页码:647 / 659
页数:13
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