SmartPLS
Modele equações estruturais (SEM)
Software
SmartPLS
Nome: SmartPLS
Fabricante: SmartPLS GmbH
Versão: 3
Plataformas: Windows e Mac
Versão de teste: Sim
Áreas: Gestão | Gestão de Projectos | Gestão de Marketing | Análise de Dados | Estatística
Informação: Visão Geral | Features | Resources | Informações Adicionais
visão geral
O SmartPLS é um software com interface gráfica para modelagem de equações estruturais (SEM) baseada em variância, utilizando o método de modelagem de caminhos de Partial Least Square (PLS). Além de estimar modelos de caminho com variáveis latentes usando o algoritmo PLS-SEM, o SmartPLS calcula critérios de avaliação de resultados padrão (por exemplo, para modelos de medição reflexivos e formativos, o modelo estrutural e a adequação do ajuste) e suporta análises estatísticas adicionais (por exemplo, análise confirmatória de tetrad, análise de mapas de importância-desempenho, segmentação, multi-grupos.
O SmartPLS 3 é um marco na modelagem de variáveis latentes. O SmartPLS combina métodos de última geração (por exemplo, PLS-POS, IPMA, rotinas complexas de bootstrapping) com uma interface gráfica fácil de usar e intuitiva.
Executar as suas análises com o SmartPLS é divertido e sem complicações. Obtenha informações sobre os seus dados de uma forma fácil e simples.
Features
- The powerful modeling environment lets you create a path model in minutes.
- The project manager helps you to keep track of all your analyzes and files.
- Customize your model with colors, borders and fonts to underline your ideas individually!
- In-built explanations of the algorithms and meaningful defaults give you an easy start into the PLS-SEM world.
- Well-organized reports provide full insights into your results.
- Save your results permanently as HTML report or Excel file.
- Create data groups to run multi group analyses effortlessly.
- Create interaction terms and run moderator analyses without any problems.
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
Resources
Get to Know PLS-SEM and SmartPLS
- The PLS-SEM Book
- Book on Advanced Issues in PLS-SEM
- E-Book on PLS-SEM
- PLS-SEM Compared With CB-SEM
- Choosing Between PLS-SEM and CB-SEM
- More Insights on When to Use PLS-SEM (and When Not)
Literature
- Some Recommended Readings
- PLS-SEM Books
- PLS-SEM Special Issues
- PLS-SEM Review Articles
- PLS-SEM Methods Articles
- PLS-SEM Applications
- Some Top Journal PLS-SEM Articles
Videos
- How to create and estimate a SmartPLS model
- HTMT – A New Criterion to Assess Discriminant Validity
- HTMT – Assessing Discriminant Validity in SmartPLS 3
- IPMA – Importance-Performance Map Analysis
- IPMA – Running the Importance-Performance Map Analysis in SmartPLS 3
- PLS-MGA – PLS Multi-Group Analysis
- PLS-MGA – Using the PLS Multi-Group Analysis in SmartPLS 3
SmartPLS Algorithms & Techniques
- Blindfolding
- Bootstrapping
- Consistent Bootstrapping
- Consistent PLS
- Confirmatory Tetrad Analysis in PLS (CTA-PLS)
- Discriminant Validity Assessment
- Goodness of Fit (GoF)
- Finite Mixture Partial Least Squares (FIMIX-PLS)
- Higher-order Models
- Importance-Performance Map Analysis (IPMA)
- Permutation
- Mediation
- Measurement Invariance Assessment (MICOM)
- Model Fit
- Moderation
- Multigroup Analysis (MGA)
- Prediction-oriented Segmentation (POS)
- Nonlinear
- PLS Algorithm
- PLS Predict
- Prediction-oriented model selection
- Weighted PLS Algorithm (WPLS)
Other SmartPLS Functionalities
- Change Colors and Customize Styles
- Composite, Common Factor and Mixed Models
- Copy & Paste vs. Duplicate
- Data Import
- How to Interpret Excess Kurtosis and Skewness
- Export Your SmartPLS Project
- Import Project from a Folder
- Import Project from Backup File
- Missing Values
- Outer Weights Initialization and Pre-specification
- Workspace
SmartPLS Project Examples
informações adicionais
Para mais informações entre em contato:
E-mail: info@gades-solutions.com.br
Telefone: + 55 11 4371 0701 ou + 55 11 9 8336 0707
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