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Robust tests of equivalence for k independent groups
(Wiley, 2013)
A common question of interest to researchers in psychology is the equivalence of two or more groups. Failure to reject the null hypothesis of traditional hypothesis tests such as the ANOVA F‐test (i.e., H0: μ1 = … = μ k ) ...
Are we really that different from each other? The difficulties of focusing on similarities in cross-cultural research.
(American Psychological Association, 2015)
In this article we argue that there are 2 dominant underlying themes in discussions of strategies for dealing with diversity—similarity and difference. When we are dealing with social groups, a number of basic psychological ...
Equivalence tests for comparing correlation and regression coefficients
(Wiley, 2015)
Equivalence tests are an alternative to traditional difference-based tests for demonstrating
a lack of association between two variables. While there are several recent studies investigating equivalence tests for comparing ...
Robust normative comparison tests for evaluating clinical significance
(Wiley, 2014)
The purpose of this study was to evaluate a modified test of equivalence for conducting
normative comparisons when distribution shapes are non-normal and variances are
unequal. A Monte Carlo study was used to compare the ...
Equivalence tests for one-way independent groups designs
(Heldref Publications, 2010)
Researchers in education are often interested in determining whether independent groups are equivalent on a specific outcome. Equivalence tests for 2 independent populations have been widely discussed, whereas testing for ...
Equivalence based tests of clinical significance: Assessing treatments for depression
(Taylor & Francis Group, 2010)
Treatment efficacy is largely determined by statistical significance testing, and clinical significance testing is often used to quantify or qualify the efficacy of a treatment at the individual or group level. This study ...
Detecting a lack of association: An equivalence testing approach
(The British Psychological Society, 2010)
Researchers often test for a lack of association between variables. A lack of association is usually established by demonstrating a non-significant relationship with a traditional test (e.g., Pearson’s r). However, for ...
Testing for a Lack of Relationship Among Categorical Variables
(Open Access Scholarly Publishers Association, 2018)
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 ...
Equivalence testing: A novel approach to evaluating the gender similarities hypothesis
(Sage, 2013)
Proponents of what has been termed the Gender Similarities Hypothesis (GSH) have typically relied on meta-analyses as well as the generation of nonsignificant tests of mean differences to support their argument that the ...