Normality tests for statistical analysis: a guide for non-statisticians.
Normality tests for statistical analysis: a guide for non-statisticians.
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DOI：
10.5812/ijem.3505
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发表时间：
2012
影响因子：
2.1
通讯作者：
Zahediasl S
中科院分区：
文献类型：
--
作者：
Ghasemi A;Zahediasl S
统计错误在科学文献中很常见，大约50%的已发表文章至少有一个错误。正态性假设在许多统计方法中，即参数检验，都需要进行检验，因为它们的有效性取决于正态性假设。本文旨在综述SPSS统计分析中的正态性检验。
Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.