Non-normal Distributions Commonly Used in Health, Education, and Social Sciences: A Systematic Review.

Non-normal Distributions Commonly Used in Health, Education, and Social Sciences: A Systematic Review.
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DOI:
10.3389/fpsyg.2017.01602
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发表时间:
2017
影响因子:
3.8
通讯作者:
Gómez-Benito J
Gómez-Benito J
中科院分区:
心理学3区
文献类型:
--
作者:
Bono R;Blanca MJ;Arnau J;Gómez-Benito J

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统计分析对研究至关重要,分析技术的选择应考虑到数据的具体分布。虽然从健康、教育和社会科学研究中获得的数据通常不是正态分布的,但很少有研究详细说明哪些分布最有可能代表这些学科的数据。这项系统回顾的目的是确定健康、教育和社会科学中最常见的非正态分布的出现频率。这项搜索是在Web of Science数据库中进行的,我们从该数据库检索了2010至2015年间发表的论文摘要。评选是在标题和摘要的基础上进行的,由两名评审员独立进行。评价者之间对文章选择的可靠性很高(Cohen‘s kappa=0.84),关于分布类型的一致性达到96.5%。最终评审共收录了262篇摘要。在这些摘要中,有231篇报告了响应变量的分布,而在其余31篇摘要中,只报告了非正态分布。根据它们出现的频率,最常见的非正态分布可以按降序排列如下:伽玛、负二项、多项、二项、对数正态和指数。除了确定实证研究中最常用的分布外,这些结果还将帮助研究人员决定哪些分布应该包括在检验统计程序的模拟研究中。
Statistical analysis is crucial for research and the choice of analytical technique should take into account the specific distribution of data. Although the data obtained from health, educational, and social sciences research are often not normally distributed, there are very few studies detailing which distributions are most likely to represent data in these disciplines. The aim of this systematic review was to determine the frequency of appearance of the most common non-normal distributions in the health, educational, and social sciences. The search was carried out in the Web of Science database, from which we retrieved the abstracts of papers published between 2010 and 2015. The selection was made on the basis of the title and the abstract, and was performed independently by two reviewers. The inter-rater reliability for article selection was high (Cohen’s kappa = 0.84), and agreement regarding the type of distribution reached 96.5%. A total of 262 abstracts were included in the final review. The distribution of the response variable was reported in 231 of these abstracts, while in the remaining 31 it was merely stated that the distribution was non-normal. In terms of their frequency of appearance, the most-common non-normal distributions can be ranked in descending order as follows: gamma, negative binomial, multinomial, binomial, lognormal, and exponential. In addition to identifying the distributions most commonly used in empirical studies these results will help researchers to decide which distributions should be included in simulation studies examining statistical procedures.
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