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Joint analysis of dispersed count‐time data using a bivariate latent factor model

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This analysis employs a Beta-binomial model for count-time data, suggesting enhanced estimation techniques for accuracy and speed.

The analysis shows improved model fit using a Beta-binomial distribution for count-time data.
Simulation results demonstrated superior performance of bootstrap resampling near boundary values.
A comprehensive study investigates estimator accuracy and efficiency using Monte Carlo Expectation-Maximization.
Oral reading fluency data reveals significant variation in item-level dispersion, pointing to model effectiveness.

Potgieter et al. (2025) studied this question.

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