Cheah, Jun HwaJun HwaCheahSarstedt, MarkoMarkoSarstedtHair, Joseph F.Joseph F.HairRingle, Christian M.Christian M.Ringle2026-04-242026-04-242026-03-19Structural equation modeling (in Press): (2026)https://hdl.handle.net/11420/62826This Teacher’s Corner article provides a comprehensive illustration of consistent partial least squares structural equation modeling (PLSc-SEM), a variant of the original PLS-SEM method, which corrects construct correlations for attenuation. The method thereby allows estimating common factor models within a composite-based SEM framework. Our descriptions draw on SmartPLS 4, the most frequently used software for conducting PLS-SEM analyses, illustrating how to set up and estimate the model and interpret the estimates. We further contrast our results with those from other composite-based SEM estimators and from covariance-based SEM using maximum likelihood estimation, as implemented in SmartPLS.en1532-80072026Routledgehttps://creativecommons.org/licenses/by/4.0/Consistent partial least squares path modelingconsistent partial least squares structural equation modelingPLSc-SEMSmartPLStutorialNatural Sciences and Mathematics::519: Applied Mathematics, ProbabilitiesComputer Science, Information and General Works::005: Computer Programming, Programs, Data and Security::005.7: DataJournal Articlehttps://doi.org/10.15480/882.1701910.1080/10705511.2026.263375410.15480/882.17019