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PLSSEM2: Stata module to support partial least squares structural equation modeling (PLS-SEM)

Author

Listed:
  • Wu LiangHai

    (Anhui University of Technology)

  • Wu Hanyan

    (Nanjing University of Aeronautics and Astronautics)

Programming Language

Abstract

plssem2 fits partial least squares structural equation models (PLS-SEM), a variance-based, composite-based alternative to covariance-based structural equation modeling (CB-SEM, e.g., sem and gsem). The estimation follows the algorithm of Wold (1975) and Lohmöller (1989) as implemented in SmartPLS and in the Stata package plssem (Venturini and Mehmetoglu 2019), with the additions of blindfolding (Stone-Geisser Q2), HTMT discriminant validity (Henseler et al. 2015), bootstrap with bias-corrected and accelerated (BCa) confidence intervals (Efron 1987), higher-order constructs via the two-stage approach (Becker et al. 2012; Sarstedt et al. 2019), and multi-group analysis based on the permutation test (Henseler et al. 2016).

Suggested Citation

  • Wu LiangHai & Wu Hanyan, 2026. "PLSSEM2: Stata module to support partial least squares structural equation modeling (PLS-SEM)," Statistical Software Components S459882, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459882
    Note: This module should be installed from within Stata by typing "ssc install plssem2". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/p/plssem2_estat.ado
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