期刊名称：Tutorials in Quantitative Methods for Psychology
电子版ISSN：1913-4126
出版年度：2018
卷号：14
期号：3
页码：167-179
DOI：10.20982/tqmp.14.3.p167
出版社：Université de Montréal
摘要：Determining a lack of association among two or more categorical variables is frequently necessary in psychological designs such as comparative outcome analyses, assessments of group equivalence at a baseline level, and therapy outcome evaluations. Despite this, the literature rarely offers information about, or technical recommendations concerning, the appropriate statistical methodology to be used to accomplish this task. This paper explores two equivalence tests for categorical variables, one introduced by extcite {rhv93} and another by extcite {w10}, as well as a proposed strategy based on Cramèr's $V$ ( teyear {c46}). A simulation study was conducted to examine and compare the Type I error and power rates associated with these tests. The results indicate that an equivalence-based Cramèr's $V$ procedure is the most appropriate method for determining a lack of relationship among categorical variables in two-way designs.
关键词：equivalence testing; categorical variables; frequency tables
