Now showing items 1-5 of 5
Increasing Literacy in Quantitative Methods: The Key to the Future of Canadian Psychology
(American Psychological Association, 2017)
Quantitative methods (QM) dominate empirical research in psychology. Unfortunately most researchers in psychology receive inadequate training in QM. This creates a challenge for researchers who require advanced statistical ...
Using the errors-in-variables method in two-group pretest-posttest design.
Culpepper and Aguinis (2011) highlighted the benefit of using the errors-in-variables (EIV) method to control for measurement error and obtain unbiased regression estimates. The current study investigated the EIV method ...
Testing for negligible interaction: A coherent and robust approach.
Researchers often want to demonstrate a lack of interaction between two categorical predictors on an outcome. To justify a lack of interaction, researchers typically accept the null hypothesis of no interaction from a ...
Comparing means under heteroscedasticity and nonnormality: Further exploring robust means modeling
(Wayne State University Library System, 2018)
Researchers are commonly interested in comparing the means of independent groups when distributions are nonnormal and variances are unequal. Robust means modeling (RMM) has been proposed as an alternative to ANOVA-type ...
Equivalence tests for comparing correlation and regression coefficients
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 ...