How can I deal with missing data in my study?

By D. Bennett. Australian and New Zealand Journal of Public Health, 2001

1,507 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/78f7327d7106589154e6946b6ebc5e9212835d53

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Citations in the corpus

Best practices for the human evaluation of automatically generated text (2019, result): “However, the use of attention checks is subject to debate, with some researchers pointing out that after such elimination procedures, the remaining cases may be a biased subsample of the total sample, thus biasing the results (Anduiza and Galais, 2016; Bennett, 2001; Berinsky et al., 2016).”
The Development and Validation of the Game User Experience Satisfaction Scale (GUESS) (2016, background): “In total, about 3.1% of the data was missing (after data culling), which has been deemed as inconsequential (Bennett, 2001; Peng, Harwell, Liou, & Ehman, 2006; Schafer, 1999).”
Forms, Frequency, and Correlates of Perceived Anti-Atheist Discrimination (2012, methodology): “We then removed the data for 208 individuals who failed to respond to more than 90% of the items (Bennett, 2001), many of whom discontinued after completing the first page of the survey.”
Love in the Time of COVID: Perceived Partner Responsiveness Buffers People From Lower Relationship Quality Associated With COVID-Related Stressors (2020, background): “We also excluded participants who completed less than 90% of the survey as statistical analyses are likely to be biased when more than 10% of data are missing (Bennett, 2001).”
Multiple minority stress: The role of proximal and distal stress on mental health outcomes among lesbian, gay, and bisexual people of color (2019, result): “It is suggested that a missing data rate of less than 5–10% is inconsequential and does not bias the results (Bennett, 2001; Dong & Peng, 2013; Schafer, 1999), and that patterns of missing data have more of an influence on results than the proportion of missing data (Tabachnick & Fidell, 2013).”
Principled missing data methods for researchers (2013, background): “Bennett (2001) maintained that statistical analysis is likely to be biased when more than 10% of data are mis sing.”
Best practices for missing data management in counseling psychology. (2010, methodology): “The EM strategy is based on a recursive process: The missing data have information that is useful in estimating various parameters, and the estimated parameter has information that is useful in finding the most likely value of the missing data (Bennett, 2001).”