Why We Don't Really Know What Statistical Significance Means: Implications for Educators

被引：46

作者：

Hubbard, Raymond ^{[1
]}

Armstrong, J. ^{[2
]}

机构：

[1] Drake Univ, Coll Business & Publ Adm, Des Moines, IA 50311 USA

[2] Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA

来源：

JOURNAL OF MARKETING EDUCATION | 2006年 / 28卷 / 02期

关键词：

alpha levels; p values; p < alpha criterion; Fisher; Neyman-Pearson; (overlapping) confidence intervals;

D O I：

10.1177/0273475306288399

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

In marketing journals and market research textbooks, two concepts of statistical significance-p values and a levels-are commonly mixed together. This is unfortunate because they each have completely different interpretations. The upshot is that many investigators are confused over the meaning of statistical significance. We explain how this confusion has arisen and make several suggestions to teachers and researchers about how to overcome it.

引用

页码：114 / 120

页数：7

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