Abstract
This article pertains to the theoretical and practical detriments of measurement error in traditional univariate and multivariate experimental design, and points toward modern methods that facilitate greater accuracy in effect size estimates and power in hypothesis testing.
DOI
10.22237/jmasm/1067644980
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
