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

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.

• 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

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

• Corporate Reputation Model
• European Customer Satisfaction Index (ECSI)
• Organizational Identification Project
• Technology Acceptance Model Project
• Unified Theory of Acceptance and Use of Technology (UTAUT) Project

Para mais informações entre em contato:
E-mail: info@gades-solutions.com.br
Telefone: + 55 11 3042 5039 ou + 55 11 9 1318 6050