What is most important to determine when understanding missing data?
What is most important to determine when understanding missing data? A central concern in the treatment of missing data is the identification of the underlying mechanism responsible for the missingness. Graham (2009) underscores the necessity of distinguishing among data that are Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random … Read more