A planned missingness data study design takes advantage of modern techniques for handling data missingness that is MCAR (Missing Completely at Random) and MAR (Missing at Random) (Brown, 2006; Enders, 2010). As modern data imputation techniques have improved, this study design option has become a powerful, cost-effective option for collecting the most data across the largest sample possible, while keeping the fatigue effect and expense of the study minimized (Little, 2010a, 2010b, 2012). The purpose of this guide is to provide an applied example for designing the surveys necessary when conducting a planned missingness research study design.
Design of Experiments and Sample Surveys | Education | Educational Assessment, Evaluation, and Research
Moore, E. W. G. (2012). Planned Missingness Study Design: Two methods to developing the study survey versions (Report No. KUANT 023.1). Retrieved Septmeber 15, 2017 from http://crmda.ku.edu/guide-23-planned_missing