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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019
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| 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 |
| _version_ | 1825951256910233600 |
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| author | Sarstedt, Marko Hair, Joseph F. Cheah, Jun Hwa Becker, Jan Michael Ringle, Christian M. |
| author_facet | Sarstedt, Marko Hair, Joseph F. Cheah, Jun Hwa Becker, Jan Michael Ringle, Christian M. |
| author_sort | Sarstedt, Marko |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:27:14Z |
| format | Article |
| id | upm.eprints-80089 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:27:14Z |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| 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 |
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