Mission accomplished: Partial least squares structural equation mode. Ling (PLS-SEM) using 3 by Nicole Richter and at the 2019 Academy of International Business (aib) conference, DenmarkDescription: This workshop provides an introduction to advanced issues in PLS-SEM, focusing on ways to interpret and assess structural model results. Specifically, the workshop will - after a recap of standard guidelines of structural model assessment and interpretation - discuss the importance-performance map analysis (IPMA).
In addition to looking at the importance of constructs in explaining other constructs in the structural model, this analysis takes the performance of each construct into account. Therewith, it enriches the model interpretation by enabling a prioritization of managerial actions along both, importance and performance. Furthermore, it will cover prediction-oriented assessment of PLS-SEM results by using the blindfolding and PLSpredict methods.
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This will also involve the prediction-oriented model selection. Practical applications and the use of the software SmartPLS 3 are an integral part of the workshop.Course Instructor:- Nicole F. Richter, (Denmark)-, (Germany) and, New Zealand.
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SmartPLS is the workhorse for all PLS-SEM analyses – for beginners as well as experts
Here is our (constantly growing) list of all available calculation methods. Relevant innovative algorithms will also be made available in SmartPLS within a short time. We promise.
- Partial least squares (PLS) path modeling
- Ordinary least squares (OLS) regression based on sumscores
- Consistent PLS (PLSc)
- Weighted PLS (WPLS), weighted OLS (WOLS) and weighted consistent PLS (WPLSc)
- Bootstrapping and the use of advanced bootstrapping options
- Blindfolding
- Importance-performance map analysis (IPMA)
- PLS multi-group analysis (MGA): Analyses the difference and significance of group-specific PLS path model estimations
- Higher-order Models
- Mediation: Estimation of indirect effects and their bootstrap-based significance testing
- Moderation: Estimation of interaction effects and their bootstrap-based significance testing
- Nonlinear relationships: Estimation of quadratic effects and their bootstrap-based significance testing
- Confirmatory tetrad analysis (CTA): A statistical technique which allows for empirical testing the measurement model setup
- Finite mixture (FIMIX) segmentation: A latent class approach which allows identifying and treating unobserved heterogeneity in path models
- Prediction-oriented segmentation (POS): An approach to identify groups of data
- PLS Predict: A technique to determine the predictive quality of the PLS path model
- Prediction-oriented model selection
SmartPLS 3 is compatible with all recent Windows versions:
Windows 10, 8, 8.1, 7, Vista, XP, Windows 2000,
Macos Catalina (10.15), Mojave (10.14), High Sierra (10.13), Sierra (10.12), El Capitan (10.11), Yosemite (10.10)
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