Testing for a lack of relationship among categorical variables
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 informati...
Main Authors: | Shishkina, Tanja, Farmus, Linda, Cribbie, Robert A. |
---|---|
Format: | Article |
Language: | English |
Published: |
Université d'Ottawa
2018-10-01
|
Series: | Tutorials in Quantitative Methods for Psychology |
Subjects: | |
Online Access: | https://www.tqmp.org/RegularArticles/vol14-3/p167/p167.pdf |
Similar Items
-
Inconsistency of chi2 test for sparse categorical data under multinomial sampling
by: Pavel Samusenko
Published: (2011-12-01) -
Translating is categorizing: A case of interlingual translation Spanish-Portuguese
by: Lucas Mario Dacuña Badaracco, et al.
Published: (2015-06-01) -
a Bayesian test of independence of two categorical variables obtianed from a small area : an application to BMD and BMI
by: zhou, jingran
Published: (2011) -
A Framework for the Cross‐Validation of Categorical Geostatistical Simulations
by: Przemysław Juda, et al.
Published: (2020-08-01) -
Traditional and bayesian approaches for testing mean equivalence and a lack of association
by: Hoyda, Joseph J., et al.
Published: (2018-03-01)