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2017 ; 8
(ä): 1602
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English Wikipedia
Non-normal Distributions Commonly Used in Health, Education, and Social Sciences:
A Systematic Review
#MMPMID28959227
Bono R
; Blanca MJ
; Arnau J
; Gómez-Benito J
Front Psychol
2017[]; 8
(ä): 1602
PMID28959227
show ga
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.