The performance of mediation analysis based on robust estimator

Mediation is said to occur when the relationship between the dependent variable Y and the independent variables X can be accounted for by an intermediate variable M. Simple mediation model involves a series of regression equations. The Ordinary Least Squares (OLS) method is often used to estimate...

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Main Authors: Habshah Midi, Anwar Fitrianto
Format: Article
Published: Penerbit ukm 2008
Online Access:http://journalarticle.ukm.my/1881/
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author Habshah Midi ,
Anwar Fitrianto ,
author_facet Habshah Midi ,
Anwar Fitrianto ,
author_sort Habshah Midi ,
building UKM Institutional Repository
collection Online Access
description Mediation is said to occur when the relationship between the dependent variable Y and the independent variables X can be accounted for by an intermediate variable M. Simple mediation model involves a series of regression equations. The Ordinary Least Squares (OLS) method is often used to estimate the parameters of the mediation model. However, many researchers are not aware of the fact that the OLS estimators suffer a huge set back in the presence of outliers. In order to rectify this problem, robust methods which are not easily affected by outliers, have been introduced. In this paper, we have proposed a robust M and MM procedure for the estimation of mediation parameters in the presence of single outlier. The performance of the MM, M and OLS estimates are compared by numerical example. The empirical evidence shows that the MM, M and OLS estimators are equally good when there is no outlier in the data. Nevertheless, when contamination occurs in the data, the performance of the MM is the best followed by the M and the OLS estimators
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spelling ukm-18812011-06-16T03:40:23Z http://journalarticle.ukm.my/1881/ The performance of mediation analysis based on robust estimator Habshah Midi , Anwar Fitrianto , Mediation is said to occur when the relationship between the dependent variable Y and the independent variables X can be accounted for by an intermediate variable M. Simple mediation model involves a series of regression equations. The Ordinary Least Squares (OLS) method is often used to estimate the parameters of the mediation model. However, many researchers are not aware of the fact that the OLS estimators suffer a huge set back in the presence of outliers. In order to rectify this problem, robust methods which are not easily affected by outliers, have been introduced. In this paper, we have proposed a robust M and MM procedure for the estimation of mediation parameters in the presence of single outlier. The performance of the MM, M and OLS estimates are compared by numerical example. The empirical evidence shows that the MM, M and OLS estimators are equally good when there is no outlier in the data. Nevertheless, when contamination occurs in the data, the performance of the MM is the best followed by the M and the OLS estimators Penerbit ukm 2008-12 Article PeerReviewed Habshah Midi , and Anwar Fitrianto , (2008) The performance of mediation analysis based on robust estimator. Journal of Quality Measurement and Analysis, 4 (2). pp. 71-80. ISSN 1823-5670 http://www.ukm.my/~ppsmfst/jqma/index.html
spellingShingle Habshah Midi ,
Anwar Fitrianto ,
The performance of mediation analysis based on robust estimator
title The performance of mediation analysis based on robust estimator
title_full The performance of mediation analysis based on robust estimator
title_fullStr The performance of mediation analysis based on robust estimator
title_full_unstemmed The performance of mediation analysis based on robust estimator
title_short The performance of mediation analysis based on robust estimator
title_sort performance of mediation analysis based on robust estimator
url http://journalarticle.ukm.my/1881/
http://journalarticle.ukm.my/1881/