• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
The Analysis Factor

The Analysis Factor

Statistical Consulting, Resources, and Statistics Workshops for Researchers

  • Home
  • Our Programs
    • Membership
    • Online Workshops
    • Free Webinars
    • Consulting Services
  • About
    • Our Team
    • Our Core Values
    • Our Privacy Policy
    • Employment
    • Collaborate with Us
  • Statistical Resources
  • Contact
  • Blog
  • Login

Diagnosing Missing Data: A new way to graph missingness

by Karen Grace-Martin 2 Comments

Some approaches to missing data work well in some situations, but perform very poorly in others.  So it’s really important to get a good idea of the type and pattern of missingness in your data.  You may even take different missing data approaches to different variables.

Matt Blackwell of the Harvard Social Science Statistics blog has come up with a nice way to visualize the missingness patterns in a data set.  (I’m a big fan of graphing data to understand it).  He calls it a Missingness Map.

The only drawback seems to be that it will be cumbersome for large data sets.

Approaches to Missing Data: the Good, the Bad, and the Unthinkable
Learn the different methods for dealing with missing data and how they work in different missing data situations.

Tagged With: Missing Data, Missing Data Patterns

Related Posts

  • Multiple Imputation in a Nutshell
  • Missing Data Mechanisms: A Primer
  • Missing Data: Two Big Problems with Mean Imputation
  • Multiple Imputation for Missing Data: Indicator Variables versus Categorical Variables

Reader Interactions

Comments

  1. Ursula Saqui, Ph.D. says

    June 8, 2009 at 11:52 pm

    I really like this idea but wasn’t sure how to create my own missingness map with the different colors in SPSS. Can anyone give me some direction on this? Thanks!

    Reply
    • admin says

      June 15, 2009 at 10:29 pm

      Hi Ursula,

      It’s not available yet in any of the mainstream software. I think he had just come up with it. It’s something you’d have to program. Or contact him and get his program. 🙂

      Karen

      Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Please note that, due to the large number of comments submitted, any questions on problems related to a personal study/project will not be answered. We suggest joining Statistically Speaking, where you have access to a private forum and more resources 24/7.

Primary Sidebar

This Month’s Statistically Speaking Live Training

  • Member Training: Analyzing Pre-Post Data

Upcoming Free Webinars

Poisson and Negative Binomial Regression Models for Count Data

Upcoming Workshops

  • Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models (Jul 2022)
  • Introduction to Generalized Linear Mixed Models (Jul 2022)

Copyright © 2008–2022 The Analysis Factor, LLC. All rights reserved.
877-272-8096   Contact Us

The Analysis Factor uses cookies to ensure that we give you the best experience of our website. If you continue we assume that you consent to receive cookies on all websites from The Analysis Factor.
Continue Privacy Policy
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT