Sarstedt, Marko ORCID: 0000-0002-5424-4268, Hair, Joseph F., Jr., Cheah, Jun-Hwa ORCID: 0000-0001-8440-9564, Becker, Jan-Michael ORCID: 0000-0003-3013-3739 and Ringle, Christian M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australas. Mark. J., 27 (3). S. 197 - 212. AMSTERDAM: ELSEVIER. ISSN 1839-3349

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Abstract

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. (C) 2019 Australian and New Zealand Marketing Academy. Published by Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Sarstedt, MarkoUNSPECIFIEDorcid.org/0000-0002-5424-4268UNSPECIFIED
Hair, Joseph F., Jr.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cheah, Jun-HwaUNSPECIFIEDorcid.org/0000-0001-8440-9564UNSPECIFIED
Becker, Jan-MichaelUNSPECIFIEDorcid.org/0000-0003-3013-3739UNSPECIFIED
Ringle, Christian M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-145443
DOI: 10.1016/j.ausmj.2019.05.003
Journal or Publication Title: Australas. Mark. J.
Volume: 27
Number: 3
Page Range: S. 197 - 212
Date: 2019
Publisher: ELSEVIER
Place of Publication: AMSTERDAM
ISSN: 1839-3349
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
PARTIAL LEAST-SQUARES; GUIDELINES; MODELS; VALIDITYMultiple languages
BusinessMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/14544

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