Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure
- Title
- Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure
- Creator
- Vishnoi S.Kr.; Mathur S.; Bagga T.; Singhal A.; Rawal P.; Sharma S.; Yadav R.
- Description
- Partial least square-structured equation modelling (PLS-SEM) is a widely accepted tool for statistical analysis in social science research. The complex architecture of PLS-SEM sometimes makes it difficult for users to understand the taxonomy, nomenclature, or process of statistical analysis. This research study proposes summarising the procedure adopted in PLS-SEM for data analysis. Measurement evaluation and structural model was the subject of discussion, with a focus on the statistical techniques employed. Furthermore, the threshold values corresponding to statistical tools under measurement and structural model were also provided. The inference of these threshold values were also discussed with an eye on improving researchers awareness and understanding. The discussion about the methodology adopted in statistical analysis with the help of PLS-SEM is also reported. Finally, the limitations of the research work were presented, and further study directions were streamlined. 2024 Inderscience Enterprises Ltd.
- Source
- International Journal of Data Analysis Techniques and Strategies, Vol-16, No. 2, pp. 162-180.
- Date
- 2024-01-01
- Publisher
- Inderscience Publishers
- Subject
- measurement model; partial least square-structured equation modelling; PLS-SEM; smart-PLS; structural model
- Coverage
- Vishnoi S.Kr., Department of Marketing, Institute of Management Studies, UP, Ghaziabad, 201009, India; Mathur S., Christ University, Delhi NCR, 201003, India; Bagga T., Faculty of Management, Department of Management Studies, Jamia Millia Islamia, New Delhi, 110025, India; Singhal A., Institute of Management Studies, UP, Ghaziabad, 201009, India; Rawal P., Institute of Management Studies, UP, Ghaziabad, 201009, India; Sharma S., Christ University, Delhi NCR, 201003, India; Yadav R., Amity School of Business, AUUP, 201313, India
- Rights
- Restricted Access
- Relation
- ISSN: 17558050
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Vishnoi S.Kr.; Mathur S.; Bagga T.; Singhal A.; Rawal P.; Sharma S.; Yadav R., “Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/13658.