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ERIC Number: EJ1039720
Record Type: Journal
Publication Date: 2014-Sep
Pages: 9
Abstractor: As Provided
Reference Count: 24
ISSN: ISSN-0165-0254
Using Monte Carlo Simulations to Determine Power and Sample Size for Planned Missing Designs
Schoemann, Alexander M.; Miller, Patrick; Pornprasertmanit, Sunthud; Wu, Wei
International Journal of Behavioral Development, v38 n5 p471-479 Sep 2014
Planned missing data designs allow researchers to increase the amount and quality of data collected in a single study. Unfortunately, the effect of planned missing data designs on power is not straightforward. Under certain conditions using a planned missing design will increase power, whereas in other situations using a planned missing design will decrease power. Thus, when designing a study utilizing planned missing data researchers need to perform a power analysis. In this article, we describe methods for power analysis and sample size determination for planned missing data designs using Monte Carlo simulations. We also describe a new, more efficient method of Monte Carlo power analysis, software that can be used in these approaches, and several examples of popular planned missing data designs.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation
Authoring Institution: N/A