A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study
By Pratyush Nidhi Sharma, Kevin Kim. 2013
68 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ce7509167fa9b9de541d4fd581cb818a04573168
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Zainal Abidin Kampus
- M. Asri
- S. Severini
- Z. Abidin
- Caterina Lucarelli
- Zainudin Awang
- Asyraf Afthanorhan
- Gong Badak
In Management Science and Operations Research
Citations in the corpus
- Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs (2020, methodology): “The two major approaches to structural modeling are the covariance-based SEM (CB-SEM) and variance-based SEM (PLS-SEM) [43,44].”
- Parametric and Non Parametric Approach in Structural Equation Modeling (SEM): The Application of Bootstrapping (2015, methodology): “However one can execute its bootstrapping procedure in the situation where the normality assumption is not met or for the analysis of non-normal data (Sharma & Kim, 2013).”