作者: Terrence D. Jorgensen , Mijke Rhemtulla , Alexander Schoemann , Brent McPherson , Wei Wu
关键词: Data mining 、 Psychology 、 Efficiency 、 Missing data 、 Regression analysis 、 Statistics 、 Assignment methods 、 Computation 、 If and only if 、 Research design 、 Monte 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.