EconPapers    
Economics at your fingertips  
 

WHICH ARE THE MOST COMMON DISTRIBUTIONS IN SOCIAL, HEALTH, AND EDUCATION SCIENCES?

María J. Blanca (), Roser Bono (), Jaume Arnau (), Rafael Alarcón () and Juana Gómez-Benito ()
Additional contact information
María J. Blanca: University of Malaga and University of Barcelona
Roser Bono: University of Barcelona
Jaume Arnau: Department of Social Psychology and Quantitative Psychology, University of Barcelona
Rafael Alarcón: Department of Psychobiology and Behavioural Sciences Methodology, University of Malaga
Juana Gómez-Benito: Department of Social Psychology and Quantitative Psychology, University of Barcelona

No 7309086, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: 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 the present study was to determine the frequency of appearance of the most common non-normal distributions in the health, educational and social sciences by means of a systematic review. The search was carried out in the Web of Science (WOS) database, from which we retrieved 984 abstracts of papers published between 2010 and 2015. In the final review, 148 papers from the area of health, 18 from education and 96 from the social sciences were included. The selection was performed independently by two reviewers. The inter-rater reliability for article selection and agreement regarding the type of distribution was high. The results showed that distributions from the exponential family are the most common non-normal distributions ? and more specifically, gamma as a continuous distribution and the negative binomial as a discrete distribution. In addition to identifying the most common distributions for real data these results will help researchers to decide which distributions should be used in simulation studies examining statistical procedures.This research was supported by grant PSI2016-78737-P (AEI/FEDER, UE) from the Spanish Ministry of Economy, Industry and Competitiveness.

Keywords: non-normal distributions; exponential family distributions; systematic review. (search for similar items in EconPapers)
JEL-codes: C15 C18 C46 (search for similar items in EconPapers)
Pages: 1 page
Date: 2018-11
References: Add references at CitEc
Citations:

Published in Proceedings of the Proceedings of the 43rd International Academic Conference, Lisbon, Nov 2018, pages 13-13

Downloads: (external link)
https://iises.net/proceedings/43rd-international-a ... =73&iid=004&rid=9086 First version, 2018

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:7309086

Access Statistics for this paper

More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova ().

 
Page updated 2025-03-20
Handle: RePEc:sek:iacpro:7309086