Davvetas, V orcid.org/0000-0002-8905-7390, Diamantopoulos, A, Zaefarian, G orcid.org/0000-0001-5824-8445 et al. (1 more author) (2020) Ten basic questions about structural equations modeling you should know the answers to – But perhaps you don't. Industrial Marketing Management, 90. pp. 252-263. ISSN 0019-8501
Abstract
Structural Equations Modeling (SEM) has enjoyed increased popularity as an analytical method among Industrial Marketing Management (IMM) authors over the last years. Despite such popularity, many authors fail to understand the basic principles of the method and reviewers are frequently confronted with manuscripts suffering from erroneous applications, insufficient reporting and questionable interpretation of SEM-based findings. Addressing this issue, the present article presents – in non-technical language – the most basic concepts related to SEM, resolves common misconceptions about the method's application and provides hands-on advice to IMM authors and reviewers dealing with SEM-based manuscripts. Structured along ten fundamental questions, the article covers issues related to (1) latent variables and their scaling, (2) types of parameters in SEM, (3) unstandardized and standardized estimates, (4) model identification, (5) model constraints, (6) model fit, (7) independence and saturated models, (8) modification indices, (9) nested models, and (10) equivalent models. After illustrating these concepts with the use of examples, the article concludes with a list of guidelines addressed both to IMM authors crafting manuscripts using SEM and the peers reviewing them.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Inc. All rights reserved. This is an author produced version of an article published in Industrial Marketing Management. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Structural equations modeling; Confirmatory factor analysis; Survey research |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Aug 2020 13:51 |
Last Modified: | 05 Aug 2022 00:15 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.indmarman.2020.07.016 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163820 |