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How to specify, estimate, and validate higher-order constructs in PLS-SEM

Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, research...

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Main Authors: Sarstedt, Marko, Hair, Joseph F., Cheah, Jun Hwa, Becker, Jan Michael, Ringle, Christian M.
Format: Article
Language:English
Published: Elsevier 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80089/1/How%20to%20specify%2C%20estimate%2C%20and%20validate%20higher-order%20constructs%20in%20PLS-SEM.pdf
http://psasir.upm.edu.my/id/eprint/80089/
http://www.sciencedirect.com/science/article/pii/S1441358219301223
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spelling my.upm.eprints.800892020-09-21T08:22:07Z http://psasir.upm.edu.my/id/eprint/80089/ How to specify, estimate, and validate higher-order constructs in PLS-SEM Sarstedt, Marko Hair, Joseph F. Cheah, Jun Hwa Becker, Jan Michael Ringle, Christian M. Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, researchers frequently confuse the specification, estimation, and validation of higher-order constructs, for example, when it comes to assessing their reliability and validity. Addressing this concern, this paper explains how to evaluate the results of higher-order constructs in PLS-SEM using the repeated indicators and the two-stage approaches, which feature prominently in applied social sciences research. Focusing on the reflective-reflective and reflective-formative types of higher-order constructs, we use the well-known corporate reputation model example to illustrate their specification, estimation, and validation. Thereby, we provide the guidance that scholars, marketing researchers, and practitioners need when using higher-order constructs in their studies. Elsevier 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80089/1/How%20to%20specify%2C%20estimate%2C%20and%20validate%20higher-order%20constructs%20in%20PLS-SEM.pdf Sarstedt, Marko and Hair, Joseph F. and Cheah, Jun Hwa and Becker, Jan Michael and Ringle, Christian M. (2019) How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27 (3). pp. 197-211. ISSN 1441-3582; ESSN: 1839-3349 http://www.sciencedirect.com/science/article/pii/S1441358219301223 10.1016/j.ausmj.2019.05.003
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Higher-order constructs, which facilitate modeling a construct on a more abstract higher-level dimension and its more concrete lower-order subdimensions, have become an increasingly visible trend in applications of partial least squares structural equation modeling (PLS-SEM). Unfortunately, researchers frequently confuse the specification, estimation, and validation of higher-order constructs, for example, when it comes to assessing their reliability and validity. Addressing this concern, this paper explains how to evaluate the results of higher-order constructs in PLS-SEM using the repeated indicators and the two-stage approaches, which feature prominently in applied social sciences research. Focusing on the reflective-reflective and reflective-formative types of higher-order constructs, we use the well-known corporate reputation model example to illustrate their specification, estimation, and validation. Thereby, we provide the guidance that scholars, marketing researchers, and practitioners need when using higher-order constructs in their studies.
format Article
author Sarstedt, Marko
Hair, Joseph F.
Cheah, Jun Hwa
Becker, Jan Michael
Ringle, Christian M.
spellingShingle Sarstedt, Marko
Hair, Joseph F.
Cheah, Jun Hwa
Becker, Jan Michael
Ringle, Christian M.
How to specify, estimate, and validate higher-order constructs in PLS-SEM
author_facet Sarstedt, Marko
Hair, Joseph F.
Cheah, Jun Hwa
Becker, Jan Michael
Ringle, Christian M.
author_sort Sarstedt, Marko
title How to specify, estimate, and validate higher-order constructs in PLS-SEM
title_short How to specify, estimate, and validate higher-order constructs in PLS-SEM
title_full How to specify, estimate, and validate higher-order constructs in PLS-SEM
title_fullStr How to specify, estimate, and validate higher-order constructs in PLS-SEM
title_full_unstemmed How to specify, estimate, and validate higher-order constructs in PLS-SEM
title_sort how to specify, estimate, and validate higher-order constructs in pls-sem
publisher Elsevier
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/80089/1/How%20to%20specify%2C%20estimate%2C%20and%20validate%20higher-order%20constructs%20in%20PLS-SEM.pdf
http://psasir.upm.edu.my/id/eprint/80089/
http://www.sciencedirect.com/science/article/pii/S1441358219301223
_version_ 1680322358591619072
score 13.211869

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