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組內相關係數與樣本數對於脈絡效果估計的影響：貝氏估計與最大概似估計法的比較
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組內相關係數與樣本數對於脈絡效果估計的影響：貝氏估計與最大概似估計法的比較
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組內相關係數與樣本數對於脈絡效果估計的影響：貝氏估計與最大概似估計法的比較
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Journal Article
組內相關係數與樣本數對於脈絡效果估計的影響：貝氏估計與最大概似估計法的比較
2016
Overview
In multilevel modeling, contextual effects are defined as the pure effects of contextual variables on the outcomes after the impact of explanative variable at individual level been removed. The multilevel model with contextual effect is frequently of interest in education and psychological research since the group means of the explanative variable at individual level reflected the situational influence have both methodological an substantive meanings. In the present study, a Monte Carlo simulation along with an empirical data contained 38 companies and 1,200 employees are adapted to explore the influences of intra-class correlation (ICC) of predictor and outcome on the estimation of contextual effects. The Bayesian estimation was applied in this present study in order to compare with the traditional maximum likelihood method. Results of simulation study revealed that, in the cases of small sample size, a smaller ICCx combined with a higher ICCy has better efficient for the parameter estimation; in contrast, a
Publisher
國立政治大學教育學院
Subject
