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Journal ArticleDOI

Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data

Teresa A. Myers
- 09 Dec 2011 - 
- Vol. 5, Iss: 4, pp 297-310
TLDR
A computational tool for SPSS (Statistical Package for the Social Sciences) is presented that will enable communication researchers to easily implement hot deck imputation in their own analyses.
Abstract
Missing data are a ubiquitous problem in quantitative communication research, yet the missing data handling practices found in most published work in communication leave much room for improvement. In this article, problems with current practices are discussed and suggestions for improvement are offered. Finally, hot deck imputation is suggested as a practical solution to many missing data problems. A computational tool for SPSS (Statistical Package for the Social Sciences) is presented that will enable communication researchers to easily implement hot deck imputation in their own analyses.

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Citations
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Parental Perceptions of Mental Health Care for Children in El Salvador

TL;DR: Overall, individuals in El Salvador appear open to mental health treatment for their children, but may prefer self-reliant methods of solving mental health problems or believe obtaining care will be too difficult.
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Attributes of Weathercasters Who Engage in Climate Change Education Outreach

TL;DR: This article explored the role of weathercasters as local climate change educators and identified attributes of those who present climate science to their viewers, and found that weathercasters were more likely to be climate change advocates than deniers.
Journal ArticleDOI

Brief report: Attentional Control Moderates the Relationship Between Attentional Bias and Anxiety in Children

TL;DR: In this paper, the authors tested whether attentional control moderates the relationship between attentional bias to threat and anxiety in children and found that children completed a self-report measure of attentional...
References
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Book

Multiple imputation for nonresponse in surveys

TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Journal ArticleDOI

Missing data: Our view of the state of the art.

TL;DR: 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI) are presented and may eventually extend the ML and MI methods that currently represent the state of the art.
Journal ArticleDOI

Multiple imputation: a primer:

TL;DR: Essential features of multiple imputation are reviewed, with answers to frequently asked questions about using the method in practice.
Journal Article

A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models

TL;DR: In this paper, the authors describe the EM algorithm for finding the parameters of a mixture of Gaussian densities and a hidden Markov model (HMM) for both discrete and Gaussian mixture observation models.
Journal ArticleDOI

ALS issues in clinical trials. Missing data.

TL;DR: The importance of missing data in RCTs is emphasized, and how the problem can be handled in an unbiased way by imputation procedures is discussed, and some recommendations for trial design and conduct are made that are tailored to R CTs for ALS.