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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
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This is an open-access step-by-step guide to analyzing PLS models using R, especially using the SEMinR package and with in-depth case studies.
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Influence of motivation on teachers’ job performance
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Assessing the Intention to Adopt Cloud Accounting during COVID-19
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Creating meaningful work for employees: The role of inclusive leadership
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Tourist personality, value co‐creation, and emotional well‐being
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A Model for Decision-Makers’ Adoption of Big Data in the Education Sector
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Transform Me If You Can: Leveraging Dynamic Capabilities to Manage Digital Transformation
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Motivation, work experience, and teacher performance: A comparative study
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“The AVE values for all variables exceeded 0.50, and CR values were above 0.70 (Hair et al., 2021), indicating good convergent validity and composite reliability (see Table 1).”
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The Effect of Business Intelligence on Bank Operational Efficiency and Perceptions of Profitability
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PLS‐SEM: A method demonstration in the R statistical environment
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“PLS-SEM is particularly appropriate for exploratory research, allowing researchers to evaluate both reliability and validity of the measurement instruments and test the hypothesized relationships among constructs in a single analysis (Hair et al., 2021).”
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“A decent reliability level is between .60 to .70 for exploratory research (Hair et al., 2021).”
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Enhancing Learning Engagement: A Study on Gamification’s Influence on Motivation and Cognitive Load
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“Considering that Structural Equations Modelling (SEM) methods are appropriate for complex path models containing both observed and non-observable variables (Hair et al. 2021), they have been used to test the hypothesis under study.”
Metadata
- Authors
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S.
- Affiliations
- University of South Alabama (US)
- Hamburg University of Technology (DE)
- Otto-von-Guericke-Universität Magdeburg (DE)
- Trinity College Dublin (IE)
- National Tsing Hua University (TW)
- ORCID
- Venue
- Classroom Companion: Business
- Publisher
- Springer International Publishing
- Published
- 2021
- ISSN
- 2662-2866 (ISSN-L)
- 2662-2874
- OpenAlex
- W3210383951
- Cited by
- 10,343
- References
- 171
- Citations by year
- 2026: 3947 · 2025: 2779 · 2024: 1862 · 2023: 1196 · 2022: 498 · 2021: 60
- FWCI
- 418.20
- Type
- book
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Classroom companion: business (publishedVersion, cc-by)
- Directory of Open access Books (OAPEN Foundation) (submittedVersion, other-oa)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (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
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- partial least squares structural equation modeling, PLS-SEM, R programming language, structural equation modeling, case studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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