Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Issue 9 (17th October 2016)

• Record Type: Journal Article
• Authors: Nitzl, Christian; Roldan, Jose L.; Cepeda, Gabriel
• Is Part Of: Industrial management & data systems. Volume 116:Issue 9(2016)
• Page Start: 1849
• Page End: 1864
• Publication Date: 2016-10-17
• Subjects: Structural equation modelling -- Partial least squares -- Bootstrapping -- Indirect effects -- Mediation analysis -- Multiple mediation; Industrial management -- Periodicals; Electronic data processing -- Periodicals; Business -- Periodicals; Industrial management -- Great Britain -- Periodicals; 658.05
• DOI: 10.1108/IMDS-07-2015-0302
• Languages: English
• ISSNs: 0263-5577

Abstract

Abstract : Purpose: Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues. Design/methodology/approach: This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM). Findings: This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects. Originality/value: The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.