A5009385600- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- School Choice and Performance
- Bayesian Modeling and Causal Inference
- Agricultural Innovations and Practices
- Machine Learning in Healthcare
- Higher Education Research Studies
- Economic and Environmental Valuation
- Hearing Impairment and Communication
- Poverty, Education, and Child Welfare
- Reading and Literacy Development
- Disability Education and Employment
- Psychometric Methodologies and Testing
University of Tennessee at Knoxville
2024-2025
AbstractPropensity score analysis (PSA) is a widely used method to address selection bias in observational studies, but its application semi-continuous treatments remains limited. This study explores two generalized propensity (GPS) definitions and compares parametric methods with Gradient Boosting Machines (GBM) for estimating average treatment effects (ATE) treatments. The simulation findings highlight that the Zero-Inflated Negative Binomial (ZINB) model paired conditional mean GPS...
AbstractPropensity score analysis (PSA) is a widely used method to address selection bias in observational studies, but its application semi-continuous treatments remains limited. This study explores two generalized propensity (GPS) definitions and compares parametric methods with Gradient Boosting Machines (GBM) for estimating average treatment effects (ATE) treatments. The simulation findings highlight that the Zero-Inflated Negative Binomial (ZINB) model paired conditional mean GPS...
The present study evaluated the effectiveness of a non-randomized summer reading program offered by school district meeting or exceeding all National Summer Learning Project recommendations. had 10 years experience delivering to Grades 1–5 students with at risk disabilities. Voluntary participation been declining in three prior pandemic and declined further during pandemic. In 2021, 144 eligible attended least half 1113 were but did not participate. All pre- post-tested measure overall...
Given the rapid growth in educational policies targeting educators' knowledge of dyslexia, this study explored technical adequacy a common instrument for measuring that knowledge. The responses 1141 preservice teachers were scored three ways: polytomously with original 4‐point Likert scale, dichotomously as true‐false, and though options multiple choice. An exploratory factor analysis suggested at least one‐third items needed to be removed. Confirmatory analyses one‐factor model polytomous...
Propensity score analysis (PSA) is a crucial tool for researchers in mitigating selection bias arising from multiple covariates quasi-experimental studies. Nevertheless, the impact of low-reliability on PSA necessitates careful consideration. This study employs Monte Carlo simulation to assess five methods adjust propensity scores unreliability covariates. The findings reveal that latent variable model incorporating inclusive factor (PSIF) results smallest relative treatment effect...
Propensity score analysis (PSA) is often used by researchers to control for selection bias due multiple covariates in quasi-experimental studies. However, with low reliability have been shown lead biased treatment effects estimates PSA. Latent variable a promising strategy reduce the negative of observed variables’ measurement error. This Monte Carlo simulation study compared performance five methods adjust propensity scores unreliability. The results indicate that latent model inclusive...
The likelihood ratio test (LRT) is widely used for comparing the relative fit of nested latent variable models. Following Wilks' theorem, LRT conducted by statistic with its asymptotic distribution under restricted model, a $\chi^2$-distribution degrees freedom equal to difference in number free parameters between two models comparison. For variables such as factor analysis, structural equation and random effects models, however, it often found that $\chi^2$ approximation does not hold. In...