Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Explore this paper's citation graph
Summary
Clear guidelines for using PLSpredict are offered, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses and the key choices researchers need to make using the procedure are explained.
- Type
- article
- Published
- 2019-11-11
- Cited by
- 3,599
- References
- 69
- OpenAlex
- https://openalex.org/W2955829435
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:198583310
Keywords
Predictive power, Structural equation modeling, Partial least squares regression, Computer science, Construct (python library)
References
- Understanding Attitudes and Predicting Social Behavior
- A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics
- The partial least squares approach for structural equation modeling.
- Estimating regression models of finite but unknown order
- Latent Variable Path Modeling with Partial Least Squares
- A better measure of relative prediction accuracy for model selection and model estimation
- On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)
- Model selection and multimodel inference : a practical information-theoretic approach
- Accuracy measures: theoretical and practical concerns☆
- The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications
- Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
- A predictive approach to the random effect model
- Structural analysis of covariance and correlation matrices
- Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
- Components of information for multiple resolution comparison between maps that share a real variable
- Assessing the consumer decision process in the digital marketplace
- The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea
- Sophistication in Research in Marketing
- Choice of structural model via parsimony: a rationale based on precision.
- An integrative model of consumers' intentions to purchase travel online
Cited by
- Complexity in the Acceptance of Sustainable Search Engines on the Internet: An Analysis of Unobserved Heterogeneity with FIMIX-PLS
- Understanding the Influence of Wireless Communications and Wi-Fi Access on Customer Loyalty: A Behavioral Model System
- When to use and how to report the results of PLS-SEM
- Structural model robustness checks in PLS-SEM
- Green Start-Ups' Attitudes towards Nature When Complying with the Corporate Law
- (Ir)Rationality of decisions in business research and practice: introduction to the special issue
- Exploring the microfoundations of end-user interests toward co-creating renewable energy technology innovations
- A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA
- Internet research using partial least squares structural equation modeling (PLS-SEM)
- How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
- Partial least squares structural equation modeling using SmartPLS: a software review
- Corporate social responsibility and business ethics: conceptualization, scale development and validation
- Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability
- Impact of employee perceptions of mistreatment on organizational performance in the hotel industry
- Preventing shoplifting: Exploring online comments to propose a model
- Predictive power of leisure constraint-negotiation models within the leisure-time physical activity context: A partial least squares structural equation modeling approach
- Relevance of Social, Economic, and Environmental Impacts on Residents’ Satisfaction with the Public Administration of Tourism
- Decision Making in Personal Insurance: Impact of Insurance Literacy
- Service quality and customer satisfaction: The moderating effects of hotel star rating
- Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method
Related papers
- Aspects of the predictive and explanatory power of value added information in South Africa
- The alleged tradeoff between explanatory breadth and predictive power
- Prediction in HRM research–A gap between rhetoric and reality
- Fall of dwarfs: Micro and macroeconomic determinants of the disappearance of European small banks