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The use of partial least squares path modeling in causal inference for archival financial accounting research

In financial accounting research, multivariate regression is almost exclusively the dominant statistical method. By contrast, Partial Least Squares path modeling is a under-utilized statistical method. The aim of this study is to examine how Partial Least Squares path modeling can be applied to the...

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Main Authors: Goh, Chinfei, Ali, Mohammad Bilal, Md. Rasli, Amran
Format: Article
Language:English
English
Published: Penerbit UTM Press 2014
Subjects:
LB Theory and practice of education
Online Access:http://eprints.utm.my/id/eprint/63038/1/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf
http://eprints.utm.my/id/eprint/63038/7/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf
http://eprints.utm.my/id/eprint/63038/
http://dx.doi.org/10.11113/jt.v68.2930
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spelling my.utm.630382017-06-12T02:31:39Z http://eprints.utm.my/id/eprint/63038/ The use of partial least squares path modeling in causal inference for archival financial accounting research Goh, Chinfei Ali, Mohammad Bilal Md. Rasli, Amran LB Theory and practice of education In financial accounting research, multivariate regression is almost exclusively the dominant statistical method. By contrast, Partial Least Squares path modeling is a under-utilized statistical method. The aim of this study is to examine how Partial Least Squares path modeling can be applied to the archival financial accounting research. This article first presents an overview on multivariate regression and structural equation modeling. The authors then highlight that advantages of using Partial Least Squares path modeling to address the research constraints in causal inference for archival financial accounting research. Penerbit UTM Press 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/63038/1/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf application/pdf en http://eprints.utm.my/id/eprint/63038/7/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf Goh, Chinfei and Ali, Mohammad Bilal and Md. Rasli, Amran (2014) The use of partial least squares path modeling in causal inference for archival financial accounting research. Jurnal Teknologi (Sciences and Engineering), 68 (3). pp. 57-62. ISSN 2180-3722 http://dx.doi.org/10.11113/jt.v68.2930 DOI:10.11113/jt.v68.2930
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
English
topic LB Theory and practice of education
spellingShingle LB Theory and practice of education
Goh, Chinfei
Ali, Mohammad Bilal
Md. Rasli, Amran
The use of partial least squares path modeling in causal inference for archival financial accounting research
description In financial accounting research, multivariate regression is almost exclusively the dominant statistical method. By contrast, Partial Least Squares path modeling is a under-utilized statistical method. The aim of this study is to examine how Partial Least Squares path modeling can be applied to the archival financial accounting research. This article first presents an overview on multivariate regression and structural equation modeling. The authors then highlight that advantages of using Partial Least Squares path modeling to address the research constraints in causal inference for archival financial accounting research.
format Article
author Goh, Chinfei
Ali, Mohammad Bilal
Md. Rasli, Amran
author_facet Goh, Chinfei
Ali, Mohammad Bilal
Md. Rasli, Amran
author_sort Goh, Chinfei
title The use of partial least squares path modeling in causal inference for archival financial accounting research
title_short The use of partial least squares path modeling in causal inference for archival financial accounting research
title_full The use of partial least squares path modeling in causal inference for archival financial accounting research
title_fullStr The use of partial least squares path modeling in causal inference for archival financial accounting research
title_full_unstemmed The use of partial least squares path modeling in causal inference for archival financial accounting research
title_sort use of partial least squares path modeling in causal inference for archival financial accounting research
publisher Penerbit UTM Press
publishDate 2014
url http://eprints.utm.my/id/eprint/63038/1/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf
http://eprints.utm.my/id/eprint/63038/7/MohammadBilalali2014_TheuseofPartialLeastSquares.pdf
http://eprints.utm.my/id/eprint/63038/
http://dx.doi.org/10.11113/jt.v68.2930
_version_ 1643655599329640448
score 13.18916

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