Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results
By Sandra Streukens, Sara Leroi-Werelds. 2016
1,022 citations recorded by the source corpus.
Subfields: Accounting, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/ef65c905f5aa1ba04ebe78112f57ec1a39b475a0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Rebecca Mitchell
- Faizan Ali
- Siegfried P. Gudergan
- Marko Sarstedt
- Christian M. Ringle
- Kisang Ryu
- S. M. Rasoolimanesh
In Management Information Systems
- Marko Sarstedt
- Christian M. Ringle
- Siegfried P. Gudergan
- Rebecca Mitchell
- Faizan Ali
- Kisang Ryu
- S. M. Rasoolimanesh
- Jörg Henseler
Citations in the corpus
- Partial least squares structural equation modeling in HRM research (2020, background): “Although an initial assessment of 500 bootstrap samples suffices, the final analysis should draw on 5000, or preferably 10,000, bootstrap samples (Streukens & Leroi-Werelds, 2016).”
- An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, background): “The mean number of the bootstrap samples was 1,366.67, which is far below the literature’s current recommendation of 10,000 (Streukens and Leroi-Werelds, 2016).”