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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/23045

Title: Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results
Authors: Streukens, Sandra
Leroi-Werelds, Sara
Issue Date: 2016
Citation: EUROPEAN MANAGEMENT JOURNAL, 34(6), p. 618-632
Abstract: Statistical inference, which relies on bootstrapping in partial least squares structural equation modeling (PLS-SEM), lies at the heart of developing practically relevant and academically rigorous theory. Inspection of PLS-SEM applications in European management research reveals that there is still much to be gained in terms of bootstrapping. This paper suggests several bootstrapping best practices and demonstrates how to conduct them for frequently encountered, yet often ignored, PLS-SEM situations such as the assessment of (non) direct effects, the comparison of effects, and the evaluation of the coefficient of determination.
Notes: [Streukens, Sandra; Leroi-Werelds, Sara] Hasselt Univ, Dept Mkt & Strategy, P Martelarenlaan 42, BE-3500 Hasselt, Belgium.
URI: http://hdl.handle.net/1942/23045
DOI: 10.1016/j.emj.2016.06.003
ISI #: 000388154400004
ISSN: 0263-2373
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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