Optimal assignment methods in three-form planned missing data designs for longitudinal panel studies:

作者: Terrence D. Jorgensen , Mijke Rhemtulla , Alexander Schoemann , Brent McPherson , Wei Wu

DOI: 10.1177/0165025414531094

关键词: Data miningPsychologyEfficiencyMissing dataRegression analysisStatisticsAssignment methodsComputationIf and only ifResearch designMonte Carlo method

摘要: Planned missing designs are becoming increasingly popular, but because there is no consensus on how to implement them in longitudinal research, we simulated data distinguish between strategies of assigning items forms and participants across measurement occasions. Using relative efficiency as the criterion, results indicate that balanced item assignment coupled with different over time most often yields optimal method, only if variables reliable. We also address practice effects can bias latent means. A second simulation demonstrates (a) diminishes (b) using planned-missing-data patterns predictors remove altogether.

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