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Design, Analysis, and Misspecification Sensitivity of Partially and Fully Nested Multisite Cluster-Randomized Designs

Xie, Yanli
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1660819172273895

Abstract Details

2022, PhD, University of Cincinnati, Education, Criminal Justice, and Human Services: Educational Studies.
The purpose of this dissertation is to develop principles and strategies for and identify limitations of multisite cluster randomized trials in the context of partially and fully nested designs. In the first study, I develop principles of estimation, sampling variability, and inference for studies that leverage multisite designs within the context of partially nested structures. In the second study, I further advance multisite partially nested designs by developing expressions to predict the statistical power with which these types of designs can detect main effects and their heterogeneity across sites, as well as expressions to identify optimal sampling plans. In the third study, I examine the impact (and sensitivity) of misspecifying the site-by-treatment variance parameter value on the power and efficiency of multisite cluster-randomized designs with fully nested data.
Benjamin Kelcey, Ph.D. (Committee Member)
Christopher Swoboda, Ph.D. (Committee Member)
Youn Seon Lim, Ph.D. (Committee Member)
Ying Guo, Ph.D. (Committee Member)
134 p.
Educational Evaluation
Multisite clustered randomized trials; Experimental Design; Estimation; Statistical Power; Optimal allocation

Recommended Citations

Citations

  • Xie, Y. (2022). Design, Analysis, and Misspecification Sensitivity of Partially and Fully Nested Multisite Cluster-Randomized Designs [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1660819172273895

    APA Style (7th edition)

  • Xie, Yanli. Design, Analysis, and Misspecification Sensitivity of Partially and Fully Nested Multisite Cluster-Randomized Designs. 2022. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1660819172273895.

    MLA Style (8th edition)

  • Xie, Yanli. "Design, Analysis, and Misspecification Sensitivity of Partially and Fully Nested Multisite Cluster-Randomized Designs." Doctoral dissertation, University of Cincinnati, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1660819172273895

    Chicago Manual of Style (17th edition)

ucin1660819172273895
115
© 2022, some rights reserved.Creative Commons License Design, Analysis, and Misspecification Sensitivity of Partially and Fully Nested Multisite Cluster-Randomized Designs by Yanli Xie is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.