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Ari 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
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Roy Levy; Daniel McNeish – Journal of Educational and Behavioral Statistics, 2025
Research in education and behavioral sciences often involves the use of latent variable models that are related to indicators, as well as related to covariates or outcomes. Such models are subject to interpretational confounding, which occurs when fitting the model with covariates or outcomes alters the results for the measurement model. This has…
Descriptors: Models, Statistical Analysis, Measurement, Data Interpretation
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Jianbin Fu; TsungHan Ho; Xuan Tan – Practical Assessment, Research & Evaluation, 2025
Item parameter estimation using an item response theory (IRT) model with fixed ability estimates is useful in equating with small samples on anchor items. The current study explores the impact of three ability estimation methods (weighted likelihood estimation [WLE], maximum a posteriori [MAP], and posterior ability distribution estimation [PST])…
Descriptors: Item Response Theory, Test Items, Computation, Equated Scores
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John Ermisch – Sociological Methods & Research, 2025
Empirical analysis of variation in demographic events within the population is facilitated by using longitudinal survey data because of the richness of covariate measures in such data, but there is wave-on-wave dropout. When attrition is related to the event, it precludes consistent estimation of the impacts of covariates on the event and on event…
Descriptors: Attrition (Research Studies), Longitudinal Studies, Surveys, Statistical Analysis
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Edoardo Costantini; Kyle M. Lang; Tim Reeskens; Klaas Sijtsma – Sociological Methods & Research, 2025
Including a large number of predictors in the imputation model underlying a multiple imputation (MI) procedure is one of the most challenging tasks imputers face. A variety of high-dimensional MI techniques can help, but there has been limited research on their relative performance. In this study, we investigated a wide range of extant…
Descriptors: Statistical Analysis, Social Science Research, Predictor Variables, Sociology
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Milica Miocevic; Fayette Klaassen; Mariola Moeyaert; Gemma G. M. Geuke – Journal of Experimental Education, 2025
Mediation analysis in Single Case Experimental Designs (SCEDs) evaluates intervention mechanisms for individuals. Despite recent methodological developments, no clear guidelines exist for maximizing power to detect the indirect effect in SCEDs. This study compares frequentist and Bayesian methods, determining (1) minimum required sample size to…
Descriptors: Research Design, Mediation Theory, Statistical Analysis, Simulation