A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA
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Summary
A theoretical comparison of PLSPM and GSCA in terms of model specification, parameter estimation, and results evaluation finds that researchers have put effort on clearly distinguishing factor and composite models and their implications for the methods’ performance.
- Type
- article
- Published
- 2019-06-01
- Cited by
- 186
- References
- 120
- OpenAlex
- https://openalex.org/W2946989286
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:189868192
Keywords
Structural equation modeling, Path analysis (statistics), Computer science, Bridging (networking), Econometrics
References
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- Author cocitation: A literature measure of intellectual structure
- CORRELATIONS OF SUMS OR DIFFERENCES
- Component-based Structural Equation Modelling
- Latent Variable Path Modeling with Partial Least Squares
- Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology
- Generalized structured component analysis
- Linear structural equations with latent variables
- Genetic algorithm segmentation in partial least squares structural equation modeling
- Obtaining a composite measure from a number of different measures of the same attribute
- The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models
- Generalized Structured Component Analysis with Latent Interactions
- A general method for analysis of covariance structures
- Convergent and discriminant validation by the multitrait-multimethod matrix.
- An Alternative Estimation Procedure for Partial Least Squares Path Modeling
- Relations Between Two Sets of Variates
Cited by
- Partial least squares structural equation modeling using SmartPLS: a software review
- An empirical comparison of generalized structured component analysis and partial least squares path modeling under variance-based structural equation models
- Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method
- Advances in composite-based structural equation modeling
- Can positioning strategies help influence willingness to pay for office space? Evidence on the moderating effect of office space grade and industry sector for occupiers of leased office space
- Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!
- Customizing competitive strategy to entry timing: Implications for firm performance in the pharmaceutical industry
- This fast car can move faster: a review of PLS-SEM application in higher education research
- Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling
- Data generation for composite-based structural equation modeling methods
- A moderated-mediation model of career adaptability and life satisfaction among working adults in Malaysia
- Predicting mobile network operators users m-payment intention
- Price image and the sugrophobia effect on luxury retail purchase intention
- Socially Responsible Investing as a Competitive Strategy for Trading Companies in Times of Upheaval Amid COVID-19: Evidence from Spain
- The effect of online shopping festival promotion strategies on consumer participation intention
- Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing
- The mediating role of personnel training between innovation and performance: Evidence from the German pharmaceutical industry
- Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research
- A cross-country investigation of customer transactions from online to offline channels
- Examining the role of social media-based destination brand community in evoking tourists’ emotions and intention to co-create and visit
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