My current methodological work includes:

• Statistical Power Analysis for Multilevel Randomized Cost-Effectiveness Trials (with Dr. Nianbo Dong, Dr. Rebecca Maynard, Dr. Ben Kelcey, and Dr. Jessaca Spybrook)

  1. Advantages of Monte Carlo Confidence Intervals for Incremental Cost-Effectiveness Ratios: A Comparison of Five Methods

  2. Optimal Design in Two-Level Cluster Randomized Cost-Effectiveness Trials

• Statistical Power Analysis for Longitudinal Experimental Designs (with Dr. Spyros Konstantoplous)

  1. Power Analysis for Models of Polynomial Change in Four-Level Cluster Randomized Designs

  2. Power Analysis for Interaction Effects in Longitudinal Multisite Randomized Experimental Designs 

  3. Design Parameters for Planning Longitudinal Experiments in Education

• Optimal Design of Experimental Studies Investigating Mediation Effects With Individual-Level Mediators (with Dr. Zuchao William Shen)

  1. Efficient Sampling for Multisite-Randomized Trials Investigating Mediation Effects under Unequal Costs

• Causal Heterogeneous Treatment Effects for Multilevel Randomized Controlled Trials Using Machine Learning Methods (with Dr. Walter Leite)

My current policy & program evaluation work includes:

• Class Size Effects (with Dr. Spyros Konstantopoulos)

• Multilevel Analysis of the Participation of Students with Disabilities in Elementary Computer Science Education (with Dr. Maya Israel and Dr. Cheri Fancsali)

• Evaluation of the Initial Efficacy Trial of Florida Embedded Practices and Intervention with Caregivers (with Dr. Brian Reichow, Dr. Mollie Romano, Dr. Patricia Snyder, Dr. Juliann Woods, and Dr. James Algina)

• Scaling Targeted Reading Instruction (TRI) to Serve Students Impacted by COVID-19: Digital Implementation of an Effective Intervention (with Dr. Mary Bratsch-Hines, Dr. Paige Pullen, Dr. Heather Aiken, and Dr. Walter Leite)

Research Grants

• Research Methodology 

  1. National Science Foundation, DRL-2339353, “CAREER: Statistical Power Analysis and Optimal Sample Size Planning for Longitudinal Studies in STEM Education”, Principal Investigator, 8/1/2024 - 7/31/2029, $1,248,938. 

  2. Spencer Foundation Small Grant, “Optimal Design of Experimental Studies Investigating Mediation Effects with Individual-Level Mediators”, Co-Principal Investigator (PI/Co-PIs: Zuchao Shen, Wei Li), 5/1/2022-4/31/2023, $50,000.  (I started serving as the PI in May 2022 When Dr. Shen moved to ASU.)

  3. National Science Foundation, DRL-2000705, “A Statistical Framework and Tools for Planning Multilevel Randomized Cost-Effectiveness Trials”, Co-Principal Investigator (PI/Co-PIs: Nianbo Dong, Rebecca Maynard, Ben Kelcey, Jessaca Spybrook, Wei Li,), Campus PI (Subcontract from University of North Carolina at Chapel Hill, $211,051), 9/1/2020 - 8/31/2023, 9/1/2023-8/31/2024 (no cost extension), $1,274,904. 

• Policy & Program Evaluation

  1. U.S. Department of Education, Institute of Education Sciences, R305N220013, “Scaling Targeted Reading Instruction (TRI) to Serve Students Impacted by COVID-19: Digital Implementation of an Effective Intervention”, Co-Principal Investigator (Lead cost data collection and analysis) (PI/Co-PIs: Mary Bratsch-Hines, Paige Pullen, Heather Aiken, Walter Leite, Wei Li), 9/1/2022-8/31/2024, $1,000,000. Effort: 6% in year 1 and 10% in year 2.

  2. National Science Foundation, “Universal Design for Computer Science Learning: Partnership for Inclusive Elementary Computer Science Education (UDL4CS) Supplemental Funding Request”, Senior Personnel (Statistician) (PI: Maya Israel), 8/16/2021 - 8/15/2022, $60,000.  Effort: 7% FTE.

  3. U.S. Department of Education, Institute of Education Sciences, R324A210081, “Initial Efficacy Trial of Florida Embedded Practices and Intervention with Caregivers”, Investigator (Principal data analyst) (PI/Co-PIs: Brian Reichow, Mollie Romano, Patricia Snyder, Juliann Woods), 7/1/2021-6/30/2025, $3,799,856. Effort: 20% FTE, years 1- 4. 

• Internal Grants 

  1. University of Florida, Lastinger Center for Learning Research Catalyst Award, “Automated Reading Reflection Question Generation: A New Technological Paradigm to Support Meaningful Book Sharing Initiatives”, Co-Principal Investigator (PI/Co-PIs: Jinnie Shin, Wei Li), Summer 2022, $8,000.

  2. University of Florida, HDOSE Strategic Reinvestment Fund, “A Comparison of Machine Learning Methods to Detect the Causal Heterogeneous Treatment Effects for Multilevel Randomized Controlled Trials”, Principal Investigator (Co-PI: Walter Leite), 5/1/2022 – 4/30/2023, $12,500.