A Comparison of Approaches to Interval Estimation of Mediated Effects in Linear Regression Models

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题名:	A Comparison of Approaches to Interval Estimation of Mediated Effects in Linear Regression Models
作者:	Ching-Yun Yua;游錦雲;Jia-Ren Tsai;蔡嘉仁
关键词:	Confidence interval;Generalized pivotal quantity;Indirect effect;Interval estimation;Mediated effect
日期:	2012-05
上传时间:	2013-08-19 11:34:06 (UTC+8)
摘要:	A novel approach based on the concepts of a generalized pivotal quantity (GPQ) is developed to construct confidence intervals for the mediated effect. Thereafter, its performance is compared with six interval estimation approaches in terms of empirical coverage probability and expected length via simulation and two real examples. The results show that the GPQ-based and bootstrap percentile methods outperform other methods when mediated effects exist in small and medium samples. Moreover, the GPQ-based method exhibits a more stable performance in small and non-normal samples. A discussion on how to choose the best interval estimation method for mediated effects is presented.
显示于类别:	[心理與諮商學系] 期刊論文

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