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Do Top Journals Require Reporting on Missing Data Techniques?

by Karen Grace-Martin Leave a Comment

Q: Do most high impact journals require authors to state which method has been used on missing data?

I don’t usually get far enough in the publishing process to read journal requirements.

But based on my conversations with researchers who both review articles for journals and who deal with reviewers’ comments, I can offer this response.

I would be shocked if journal editors at top journals didn’t want information about the missing data technique.  If you leave it out, they’ll either assume you didn’t have missing data or are using defaults like listwise deletion.

I’m sure there are some fields or research areas in which not having missing data isn’t a possibility, so they’re going to want an answer.

And if you’re using a technique that’s better than listwise deletion, go ahead and tell them.  While not all editors may be caught up with the state of the art in missing data, editors at top level journals should be.

If your editors or reviewers aren’t caught up with new missing data techniques, and think you’re trying to pull a fast one, cite liberally. You may have to educate reviewers a bit.   There are a number of published articles in many fields on the benefits of the newest techniques.

Here are a few good ones.  If you know of others, please feel free to leave them in the comments.

  • Acock, A.C. (2005). Working with Missing Data. Journal of Marriage and Family, 67, 1012-1028.
  • Graham, J.W. (2009) Missing Data Analysis: Making it Work in the Real World. Annual Review of Psychology, 60, 549-576.
  • Puma, Michael J., Robert B. Olsen, Stephen H. Bell, and Cristofer Price (2009). What to Do When Data Are Missing in Group Randomized Controlled Trials (NCEE 2009-0049). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education.
  • Schafer, J.L. & Graham, J.W. (2002). Missing Data: Our View of the State of the Art. Psychological Methods, 7, 147-177.

______________________________________________________

This post is part of a series of answers about missing data that I was asked during a recent webinar.  There were nearly 300 people on the live webinar, so we didn’t get through all the questions.  So I’m answering some of the ones we missed here.

To see the full list of posts in this series, and a whole lot more, visit our Missing Data page.

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: listwise deletion, Missing Data

Related Posts

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  • Quiz Yourself about Missing Data
  • 3 Ad-hoc Missing Data Approaches that You Should Never Use
  • EM Imputation and Missing Data: Is Mean Imputation Really so Terrible?

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