DESIGNING MEASUREMENT STUDIES UNDER BUDGET CONSTRAINTS - CONTROLLING ERROR OF MEASUREMENT AND POWER

When designing measurement studies, one generally needs to consider tw o statistical issues: power and measurement error The mean error varia nce-covariance component is introduced as an estimate that takes into account both of these statistical issues. This article presents a meth odology for minimizing the mean error variance-covariance component in studies with resource constraints. The method is illustrated using a one-facet multivariate design, and extensions to other designs are dis cussed.