Unleashing the Power of Partial Least Squares for Advanced Structural Equation Modelling
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A graphical user interface software for variance-based structural equation modelling using the least squares path modelling (PLS-SEM) method.


SmartPLS is a software program designed for structural equation modelling (SEM), a statistical method used to analyse complex relationships between variables in research studies. It allows researchers to analyse multiple interdependent variables simultaneously and to test theories and models based on empirical data. SmartPLS is known for its user-friendly interface, making it accessible to both experienced and novice users.

SmartPLS offers a range of tools for SEM analysis, including path analysis, factor analysis, and mediation analysis. It also provides a graphical user interface for model specification, estimation, and interpretation, making it easier for users to navigate and understand the results of their analysis. The program uses a partial least squares (PLS) algorithm, which is particularly suited to analysing complex models with a small sample size.

SmartPLS is commonly used in a variety of research fields, including management, marketing, psychology, and social sciences. It is widely recognized as a reliable and effective tool for SEM analysis, and it has become increasingly popular among researchers due to its ease of use and flexibility.

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SmartPLS GmbH

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  • Enhanced user interface

    SmartPLS 4 features an updated and more intuitive user interface, which makes it easier for researchers to navigate and use the software.

  • Advanced PLS-SEM algorithms

    SmartPLS 4 incorporates advanced PLS-SEM algorithms, which can improve the accuracy and precision of SEM analysis.

  • Improved model evaluation

    SmartPLS 4 includes new and improved model evaluation tools, such as cross-validation and bootstrapping, which allow researchers to test the robustness and validity of their models.

  • Expanded data analysis capabilities

    SmartPLS 4 can now analyze a wider range of data types, including ordinal and categorical data, which increases the versatility of the software.

  • Customizable reporting

    SmartPLS 4 allows researchers to customize their reports, including the format and content, making it easier to communicate their findings to others.

  • Integration with R

    SmartPLS 4 has improved integration with the statistical programming language R, which allows users to extend the functionality of the software using R scripts.

  • Enhanced model comparison

    SmartPLS 4 provides improved model comparison tools, including the ability to compare models using different estimation methods and criteria.

  • Improved documentation

    SmartPLS 4 features more extensive and user-friendly documentation, which makes it easier for researchers to understand and use the software effectively.

SmartPLS 4 Tutorial Guide 1: Getting started

SmartPLS 4: Importing data and building a model

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