Optimal planned missing data design for linear latent growth curve models

Volume: 52, Issue: 4, Pages: 1445 - 1458
Published: Jan 27, 2020
Abstract
Longitudinal data collection is a time-consuming and cost-intensive part of developmental research. Wu et al. (2016) discussed planned missing (PM) designs that are similar in efficiency to complete designs but require fewer observations per person. The authors reported optimal PM designs for linear latent growth curve models based on extensive Monte Carlo simulations. They called for further formal investigation of the question as to how much...
Paper Details
Title
Optimal planned missing data design for linear latent growth curve models
Published Date
Jan 27, 2020
Volume
52
Issue
4
Pages
1445 - 1458
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