Testing differences in proportions

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Title Testing differences in proportions
Author Fisher, Murray J.; Marshall, Andrea P.; Mitchell, Marion Lucy
Journal Name Australian Critical Care
Year Published 2011
Place of publication United States
Publisher Elsevier Inc.
Abstract This paper is the sixth in a series of statistics articles recently published by Australian Critical Care. In this paper we explore the most commonly used statistical tests to compare groups of data at the nominal level of measurement. The chosen statistical tests are the chi-square test, chi-square test for goodness of fit, chi-square test for independence, Fisher's exact test, McNemar's test and the use of confidence intervals for proportions. Examples of how to use and interpret the tests are provided.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.aucc.2011.01.005
Copyright Statement Copyright 2011 ACCCN. Published by Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
Volume 24
Issue Number 2
Page from 133
Page to 138
ISSN 1036-7314
Date Accessioned 2012-03-07
Language en_US
Research Centre Griffith Health Institute; Centre for Health Practice Innovation
Faculty Griffith Health Faculty
Subject Nursing
URI http://hdl.handle.net/10072/43755
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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