A Monte Carlo Examination of an MTMM Model With Planned Incomplete Data Structures

By Brendan Bunting, G. Adamson, Peter K. Mulhall. 2002

65 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a67678684675c073e144cba96f6a546bacabcd47

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Willem E. Saris
2. A. Satorra
3. Mijke Rhemtulla
4. Germà Coenders
5. T. Little
6. Fan Jia
7. Wei Wu
8. Eldad Davidov

In Statistics and Probability

1. A. Satorra
2. Willem E. Saris
3. Germà Coenders
4. T. Little
5. Mijke Rhemtulla
6. Fan Jia
7. Wei Wu
8. M. Kroh

Citations in the corpus

• 8. A New Approach to Evaluating the Quality of Measurement Instruments: The Split-Ballot MTMM Design (2004, background): “A recent alternative, a more complex design in practical terms, has been suggested by Bunting, Adamson, and Mulhall (2002).”
• Planned missing designs to optimize the efficiency of latent growth parameter estimates (2014, background): “Several Planned Missingness (PM) designs have been proposed for cross-sectional data (Bunting et al., 2002; Graham et al., 1996; Graham et al., 2006).”