James Uanhoro

Bio

I am a fifth-year doctoral candidate within the Quantitative Research, Evaluation and Measurement program in the Educational Studies department at Ohio State University, and on the job market. My advisor is Professor Ann O’Connell. I have a background in Information Systems, and in my downtime, I enjoy using my computing skills to develop statistical tools for applied researchers. For my dissertation, I am using the connection between SEM and regression to develop SEM models for non-Gaussian data; the estimation method is Bayesian. My interests are causal inference, applied Bayesian modeling, communicating statistical findings, statistics education, API development.

Email: uanhoro.1@osu.edu

Teaching

I am a graduate associate at the Center on Education and Training for Employment within the College of Education and Human Ecology.

Lab instruction history:

ESQREM 7651: Regression Analysis (2 years)
ESQREM 6641: Introduction to Educational Statistics (1 year)

Blog

2021/01/18 Traditional SEM overly focuses on LISREL equations to the detriment of dealing with measurement error
2019/11/25 Problems with using odds ratios as effect sizes in binary logistic regression and alternative approaches
2019/09/26 How do you communicate the evidence for the practical significance of an intervention using Bayesian methods?
2019/08/02 When data are not so informative, it pays to choose the sum score over the factor score
2018/11/28 Multidimensional CFA with RStan
2018/10/20 Possibility of heteroskedasticity is a good reason not to dichotomize a continuous variable for use as outcome in logistic regression.
2018/10/07 Should you perform logistic regression on a dichotomized continuous variable when you have access to the continuous variable? I'm not sure.
2018/10/06 Two group mean and variance comparisons
2018/05/07 Modeling the error variance to account for heteroskedasticity
2018/05/07 Simulating data from regression models
2018/02/12 Using binary regression software to model ordinal data as a multivariate GLM
2018/01/02 Using glmer() to perform Rasch analysis
2017/11/16 A Chi-Square test of close fit in covariance-based SEM
2017/10/28 Misspecification and fit indices in covariance-based SEM
2017/09/21 Little's MCAR test at different sample sizes
2017/09/21 Theil-Sen regression in R
2017/09/19 Linear regression with violation of heteroskedasticity with small samples
2017/08/11 On the interpretation of regression coefficients