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

What is most important to determine when understanding missing data? What are the advantages and disadvantages of common missing data methods? When

What is most important to determine when understanding missing data?  What are the advantages and disadvantages of common missing data methods?  When might one use as a threshold or guideline in terms of when missing data be estimated vs. deleted  Osborne & Overbay (2004). The power of outliers (and why researchers should ALWAYS check for … Read more