Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

被引：2398

作者：

Ghasemi, Asghar ^{[1
]}

Zahediasl, Saleh ^{[1
]}

机构：

[1] Shahid Beheshti Univ Med Sci, Res Inst Endocrine Sci, Endocrine Res Ctr, POB 19395-4763, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF ENDOCRINOLOGY AND METABOLISM | 2012年 / 10卷 / 02期

关键词：

Normality; Statistical Analysis;

D O I：

10.5812/ijem.3505

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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. Copyright (C) 2012 Kowsar Corp. All rights reserved.

引用

收藏

页码：486 / 489

页数：4

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