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Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results
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“This method was chosen for its ability to handle small- to medium-size samples and suitability for exploratory research [33].”
From User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study (2023) · cites this paper as [33]
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- Sahinler, 2007, Bootstrap and jackknife resampling algorithms for estimation of regression parameters, Journal of Applied Quantitative Methods, 2, 188
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Metadata
- Authors
- Streukens, S., & Leroi-Werelds, S.
- Affiliations
- Hasselt University (BE)
- Corresponding author
- Streukens, Sandra
- Venue
- European Management Journal
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 34
- Issue
- 6
- Pages
- 618-632
- ISSN
- 0263-2373 (ISSN-L)
- OpenAlex
- W2503387234
- Cited by
- 1,120
- References
- 77
- Citations by year
- 2026: 205 · 2025: 204 · 2024: 193 · 2023: 149 · 2022: 119 · 2021: 110 · 2020: 61 · 2019: 37 · 2018: 28 · 2017: 12 · 2016: 2
- FWCI
- 28.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Management Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Document Server@UHasselt (UHasselt) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Keywords
- bootstrapping, partial least squares structural equation modeling, statistical inference, direct and indirect effects, R-squared, management research
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