SmartPLS 結構方程模式軟體


SmartPLS 3 是一款使用PLS-SEM方法進行數據分析的世界知名軟件,是潛變量建模的里程碑。它將最先進的方法(例如,PLS-POS、IPMA、複雜的引導程序)與易於使用和直觀的圖形用戶界面相結合。


SmartPLS 結構方程模式軟體


運行 SmartPLS 分析既有趣又輕鬆,簡單的深入了解您的數據!

  • 強大的建模環境可讓您在幾分鐘內創建路徑模型。
SmartPLS 建模環境


  • 項目經理幫助您跟踪所有分析和文件。
SmartPLS 項目經理


  • 使用顏色、邊框和字體自定義您的模型,以單獨強調您的想法!
SmartPLS 顏色和字體定制


  • 算法和有意義的默認值的內置解釋讓您輕鬆開始進入 PLS-SEM 世界。


  • 組織良好的報告可讓您全面了解您的結果。
SmartPLS 結果報告
  • 將您的結果永久保存為 HTML 報告或 Excel 文件。
SmartPLS HTML 和 Excel 導出


  • 創建數據組以輕鬆運行多組分析。
SmartPLS 數據組分析


  • 創建交互術語並毫無問題地運行主持人分析。
SmartPLS 調節效果


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













System Requirements

These are the minimum requirements for your computer:

SmartPLS 4 for Microsoft Windows

SmartPLS is compatible with 64-bit Windows 7-11, Windows Server 2012-2023.

SmartPLS 4 for Mac OSX.

Compatible with Mac OSX from Big Sur (11.x) to Sonoma (14.x). Users with older Mac OSX versions (<11.x), see here.

SmartPLS 4 for Linux.

Experimental. Tested on 64-bit Ubuntu 22.04.3. Might work on other Linux desktops as well.

How to update from SmartPLS 3.x

SmartPLS 4 will be installed in a new folder. Your SmartPLS 3 version will be kept and can be used side by side.

You can of course continue using your existing projects.