Out of sight, not out of mind: strategies for handling missing data.

By E. Buhi, Patricia Goodson, T. Neilands. American Journal of Health Behavior, 2008

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Electronic Bullying and Victimization and Life Satisfaction in Middle School Students (2012, methodology): “Given the small amount of missing data, and in order to retain an adequate sample size and statistical power, mean substitution procedures were used to handle missing data ( Buhi et al. 2008 ).”
The Role of Life Satisfaction in Predicting Student Engagement and Achievement (2015, methodology): “Prior research suggests that the specific technique used to handle missing data is inconsequential when the amount of missing data is low (Buhi et al. 2008; Roth 1994).”
Best practices for missing data management in counseling psychology. (2010, background): “Collins et al. (2001) suggested that including auxiliary variables can be quite beneficial and risks little in terms of cost.”