Education and Human Sciences, College of (CEHS)


First Advisor

James A. Bovaird

Date of this Version



Nord, J. (2017). Latent interaction modeling with planned missing data designs. Public Access Theses and Dissertations from the College of Education and Human Sciences.


A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Arts, Major: Educational Psychology, Under the Supervision of Professor James A. Bovaird. Lincoln, Nebraska: December, 2017.

Copyright (c) 2017 Jayden Nord


Planned missing data (PMD) designs allow researchers to collect additional data under time constraints, which likely occur in educational research settings. The imposed missing data patterns, however, can hamper the efficiency of statistical models that are of interest to substantive researchers. Typically, PMD designs result in a modest power deficiency; however, this tenet has not been extended to latent interaction models. Such models are of increasing importance as researchers investigate moderated relationships involving continuous latent variables. Monte Carlo simulations were used to assess the efficacy of various latent interaction estimation methods under PMD designs.

Advisor: James A. Bovaird