Issues involving the use of significant sameness in testing replications and generating knowledge

A. Dwayne Ball; Alan G. Sawyer

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Issues involving the use of significant sameness in testing replications and generating knowledge

机译：在测试复制和生成知识中涉及使用重大相同性的问题

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摘要

Hubbard and Lindsay's article in this issue proposes a framework for generating knowledge based upon significant sameness of replications rather than significant differences. This critique agrees with their basic premise, but points out weaknesses in their proposal to use overlapping confidence intervals around effect sizes in close replications as the criterion for knowledge.

机译：Hubbard和Lindsay在本期中的文章提出了一个框架，用于基于复制的显着相同而不是显着差异来生成知识。这种批评与他们的基本前提是一致的，但是指出了他们的建议中的弱点，即在紧密复制中使用围绕效应大小的重叠置信区间作为知识的标准。

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来源
《Journal of Business Research》 |2013年第9期|1389-1392|共4页
作者
A. Dwayne Ball; Alan G. Sawyer;
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作者单位

University of Nebraska-Lincoln, CBA 324, P. O. Box 880492, Lincoln, NE 68588-0492, United States;

University of Florida, P. O. Box 117155,212 Bryan Hall, Gainesville, FL, 32611-7155, United States;

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正文语种 eng
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关键词
Significance testing; Replication; Scientific knowledge; Confidence interval;

机译：重要性测试;复制;科学知识;置信区间;

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Issues involving the use of significant sameness in testing replications and generating knowledge

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