Linear indices in nonlinear structural equation models: best fitting proper indices and other composites
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- Type
- article
- Published
- 2011-08-11
- Cited by
- 86
- References
- 31
- Access
- Open access
- OpenAlex
- https://openalex.org/W1963554663
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120868602
Keywords
LISREL, Structural equation modeling, Nonlinear system, Applied mathematics, Principal component analysis
References
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- Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV
- Latent variables in linear stochastic models : refletions on "maximum likelihood" and "partial least squares" methods
- Interaction and Nonlinear Effects in Structural Equation Modeling
- Statistical Inference in Factor Analysis
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- Canonical analysis of several sets of variables
- Conventional wisdom on measurement: A structural equation perspective.
- Latent Variable Path Modeling with Partial Least Squares
- On the meaning of formative measurement and how it differs from reflective measurement: comment on Howell, Breivik, and Wilcox (2007).
- Is Formative Measurement Really Measurement? Reply to Bollen (2007) and Bagozzi (2007)
- Analysis of multiplicative combination rules when the causal variables are measured with error.
- Reconsidering formative measurement.
- The flat maximum effect and linear scoring models for prediction
- Index Construction with Formative Indicators: An Alternative to Scale Development
- Estimating the nonlinear and interactive effects of latent variables.
- PLS path modeling
- A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study
- Characterization Problems in Mathematical Statistics
- Interpretational confounding is due to misspecification, not to type of indicator: comment on Howell, Breivik, and Wilcox (2007).
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- PLS-SEM: Looking Back and Moving Forward
- Consistent Partial Least Squares for Nonlinear Structural Equation Models
- Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
- Cognitive diagnostic like approaches using neural-network analysis of serious educational videogames
- A new criterion for assessing discriminant validity in variance-based structural equation modeling
- PLS' Janus Face – Response to Professor Rigdon's ‘Rethinking Partial Least Squares Modeling: In Praise of Simple Methods’
- The Application of Cognitive Diagnostic Approaches via Neural Network Analysis of Serious Educational Games
- Consistent Partial Least Squares Path Modeling
- Exploring lean implementation success factors in job shop, batch shop, and assembly line manufacturing settings
- The Importance-Performance Matrix Analysis in Partial Least Square Structural Equation Modeling (PLS-SEM) with Smartpls 2.0 M3
- Testing measurement invariance of composites using partial least squares
- Using PLS path modeling in new technology research: updated guidelines
- European management research using partial least squares structural equation modeling (PLS-SEM)
- Estimation issues with PLS and CBSEM: Where the bias lies! ☆
- Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
- The role of personality and organisational cultural differences in the success of salesperson-buyer dyads
- ADANCO 2.0.1: user manual
- Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors
- Confirmatory Composite Analysis
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