This dissertation examines a planned missing data design in the context of mediational analysis. The study considered a scenario in which the high cost of an expensive mediator limited sample size, but in which less expensive mediators could be gathered on a larger sample size. Simulated multivariate normal data were generated from a latent variable mediation model with three observed indicator variables, M1, M2, and M3. Planned missingness was implemented on M1 under the missing completely at random mechanism.
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- Partial requirement for: Ph. D., Arizona State University, 2015Note typethesis
- Includes bibliographical references (pages 121-129)Note typebibliography
- Field of study: Psychology