ABSTRACT
In this chapter, we consider several examples of statistical power in planning a study with data missing by design. The empirical example is a slightly simplified version of the model presented in the previous chapter. Using three-wave longitudinal data, we evaluate four different planned missingness designs. As with the preceding chapter, we consider both missing completely at random (MCAR) and missing at random (MAR) data as well as a wide range of sample sizes. We conclude the chapter with a general way to evaluate pattern missingness that can be useful in planning a study with data that are missing by design. We will revisit and extend several of these design issues again in Chapter 10.
