Approaches to Missing Data: The Good, the Bad, and the Unthinkable

You’ve probably heard about many different approaches to dealing with missing data, and you’ve probably gotten different opinions about which one you should use.

Covered in this webinar:

1. The three types of missing data, and how they affect the approach to take
2. The common approach that is generally worse than any other
3. The easy, common, seemingly bad approach that often isn’t so bad, and the situations when it doesn’t work
4. The two approaches that give unbiased results: one that is very easy to implement, but only works in limited situations and one that is harder to implement well, but works with any statistical analysis