Planned Missing Data Designs in Educational Psychology Research
Although missing data are often viewed as a challenge for applied researchers, in fact missing data can be highly beneficial. Specifically, when the amount of missing data on specific variables is carefully controlled, a balance can be struck between statistical power and research costs. This article presents the issue of planned missing data by discussing specific designs (i.e. multiform designs, longitudinal wave missing designs, and 2 method measurement designs) introducing the power and cost benefits of such scenarios to applied education and educational psychology researchers.