Two-method planned missing designs for longitudinal research

Planned missing data designs in psychological research.

The authors describe 2 efficiency (planned missing data) designs for measurement: the 3-form design and the 2-method measurement design. The 3-form design, a kind of matrix sampling, allows researchers to leverage limited resources to collect data for 33% more survey questions than can be answered by any 1 respondent. Power tables for estimating correlation effects illustrate the benefit of thi...

Missing by Design: Planned Missing-Data Designs in Social Science

This article presents research designs that employ modern statistical tools to optimize costs and precision of research along with some additional methodological advantages. In planned missing-data designs some parts of information about respondent are purposely not collected. This gives fl exibility and opportunity to explore a broad range of solutions with considerably lower cost. Modern stat...

Planned missing-data designs in experience-sampling research: Monte Carlo simulations of efficient designs for assessing within-person constructs.

Experience-sampling research involves trade-offs between the number of questions asked per signal, the number of signals per day, and the number of days. By combining planned missing-data designs and multilevel latent variable modeling, we show how to reduce the items per signal without reducing the number of items. After illustrating different designs using real data, we present two Monte Carl...

Assessing Treatment Effects in Randomized Longitudinal Two-Group Designs with Missing Observations

Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data