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Direct linkAri Decter-Frain; Pratik Sachdeva; Loren Collingwood; Hikari Murayama; Juandalyn Burke; Matt Barreto; Scott Henderson; Spencer Wood; Joshua Zingher – Sociological Methods & Research, 2025
We consider the cascading effects of researcher decisions throughout the process of quantifying racially polarized voting (RPV). We contrast three methods of estimating precinct racial composition, Bayesian Improved Surname Geocoding (BISG), fully Bayesian BISG, and Citizen Voting Age Population (CVAP), and two algorithms for performing ecological…
Descriptors: Voting, Computation, Racial Composition, Bayesian Statistics
Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
Nathan McJames; Andrew Parnell; Ann O'Shea – Educational Review, 2025
Teacher shortages and attrition are problems of international concern. One of the most frequent reasons for teachers leaving the profession is a lack of job satisfaction. Accordingly, in this study we have adopted a causal inference machine learning approach to identify practical interventions for improving overall levels of job satisfaction. We…
Descriptors: Job Satisfaction, Teacher Surveys, Administrator Surveys, Faculty Mobility
