Application of Bayesian Estimation to Educational Research.

      Аннотация: The use of continuously varying opinionated data is synonyms with Educational study. Survey studies have shown that sample size of respondents limits the generalization of the findings to the target population. To overcome the named challenges, Bayesian estimation's MCMC algorithm, specifically random walk was applied to optimize the sample size space with the intention to obtain the least measurement error. With random walk algorithm, the findings of a study can very confidently be applied unto the target population.

Ключевые слова: Optimizing sample size, measurement error, Model, Physics achievement