Missing Data

I don’t need to tell you, missing data stinks.  After getting stuck on a big problem with missing data many years ago, I started studying what to do about it in a big way.

This page includes links to posts I’ve written about much of what I’ve learned and resources to learn more.  I hope it helps.

Answers to Questions from the Missing Data Webinar

Do Top Journals Require Reporting on Missing Data Techniques?

What is the Difference between MAR and MCAR?

Is Multiple Imputation Possible in the Context of Survival Analysis?

These questions were originally asked in a live webinar.  We didn’t get through all the questions, so I’m answering many of them in this series.  If you want to listen to the full webinar, you can get the recording on this page.  It’s free.

Approaches to Dealing with Missing Data

Causes of Missing Data

Quiz Yourself about Missing Data

Answers to the Missing Data Quiz

3 Ad-hoc Missing Data Approaches that You Should Never Use

Multiple Imputation of Categorical Variables

Missing Data: Criteria for Choosing an Effective Approach

A great Article about modern approaches to missing data

EM Imputation and Missing Data: Is Mean Imputation Really so Terrible?

Seven Ways to Make up Data: Common Methods to Imputing Missing Data

Mean Imputation

The Second Problem with Mean Imputation

Multiple Imputation Resources

Multiple Imputation in a Nutshell

Two Recommended Solutions for Missing Data: Mulitple Imputation and Maximum Likelihood

Software

Computing Cronbach’s Alpha in SPSS with Missing Data

New version released of Amelia II: A Program for Missing Data

Multiple Imputation in SPSS 17.0

Averaging and Adding Variables with Missing Data in SPSS

Missing Data in the Context of Data Analysis

The 11 Steps for Statistical Modeling in any Regression or ANOVA

Five Advantages of Running Repeated Measures ANOVA as a Mixed Model

Resources

Recording of our webinar: Approaches to Missing Data: The Good, the Bad, and the Unthinkable.  It’s free.

To learn all the ins and outs of dealing with missing data, you need our 8-hour online workshop:  Effectively Dealing with Missing Data Without Biasing Your Results.