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Learn how the correction works in SmartPLS.","algorithm-description",{"type":12,"children":13,"toc":318},"root",[14,23,29,36,38,79,84,90,97,102,108,113,119,124,130,135,141,146,152,194,200],{"type":15,"tag":16,"props":17,"children":19},"element","h1",{"id":18},"consistent-pls-sem",[20],{"type":21,"value":22},"text","Consistent PLS-SEM",{"type":15,"tag":24,"props":25,"children":26},"p",{},[27],{"type":21,"value":28},"Consistent PLS-SEM (PLSc-SEM) is a correction procedure applied to the results of the standard PLS-SEM algorithm. It adjusts the correlations among reflectively measured constructs so that composite-based PLS-SEM estimates become consistent with those of a common factor model (Dijkstra, 2010, 2014; Dijkstra & Henseler, 2015; Dijkstra & Schermelleh-Engel, 2014). Researchers use PLSc-SEM when they want composite-based estimation that mimics common-factor results for reflectively specified constructs, effectively bridging PLS-SEM and CB-SEM. The correction builds on Nunnally's (1978) well-known correction-for-attenuation formula.",{"type":15,"tag":30,"props":31,"children":33},"h2",{"id":32},"plsc-sem-settings-in-smartpls",[34],{"type":21,"value":35},"PLSc-SEM Settings in SmartPLS",{"type":21,"value":37},"\n\n\n\n\n\n\n\n\n\n\n\n\n\n",{"type":15,"tag":39,"props":40,"children":41},"table",{},[42,61],{"type":15,"tag":43,"props":44,"children":45},"thead",{},[46],{"type":15,"tag":47,"props":48,"children":49},"tr",{},[50,56],{"type":15,"tag":51,"props":52,"children":53},"th",{},[54],{"type":21,"value":55},"Setting",{"type":15,"tag":51,"props":57,"children":58},{},[59],{"type":21,"value":60},"Description",{"type":15,"tag":62,"props":63,"children":64},"tbody",{},[65],{"type":15,"tag":47,"props":66,"children":67},{},[68,74],{"type":15,"tag":69,"props":70,"children":71},"td",{},[72],{"type":21,"value":73},"Initial calculations",{"type":15,"tag":69,"props":75,"children":76},{},[77],{"type":21,"value":78},"Choose whether the initial PLS path model is used as specified, or whether all latent variables (LVs) are connected to generate latent variable scores when running the PLS-SEM algorithm. 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However, the parameter settings for the underlying PLS-SEM algorithm remain important and should be checked before running PLSc-SEM.",{"type":15,"tag":30,"props":85,"children":87},{"id":86},"frequently-asked-questions",[88],{"type":21,"value":89},"Frequently Asked Questions",{"type":15,"tag":91,"props":92,"children":94},"h3",{"id":93},"what-does-plsc-sem-correct-for",[95],{"type":21,"value":96},"What does PLSc-SEM correct for?",{"type":15,"tag":24,"props":98,"children":99},{},[100],{"type":21,"value":101},"PLSc-SEM corrects the correlations of reflectively measured constructs so that composite-based PLS-SEM results become consistent with those of a common factor model.",{"type":15,"tag":91,"props":103,"children":105},{"id":104},"when-should-i-use-plsc-sem-instead-of-standard-pls-sem",[106],{"type":21,"value":107},"When should I use PLSc-SEM instead of standard PLS-SEM?",{"type":15,"tag":24,"props":109,"children":110},{},[111],{"type":21,"value":112},"Use PLSc-SEM when you want composite-based estimation that approximates common-factor model results for reflectively specified constructs, bridging PLS-SEM and CB-SEM estimation logics.",{"type":15,"tag":91,"props":114,"children":116},{"id":115},"does-plsc-sem-require-additional-settings-in-smartpls",[117],{"type":21,"value":118},"Does PLSc-SEM require additional settings in SmartPLS?",{"type":15,"tag":24,"props":120,"children":121},{},[122],{"type":21,"value":123},"No. Beyond the \"Initial calculations\" option, no additional parameter specifications are required for the PLSc-SEM correction itself. 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K. (2010). Latent variables and indices: Herman Wold's basic design and partial least squares. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), ",{"type":15,"tag":209,"props":210,"children":211},"em",{},[212],{"type":21,"value":213},"Handbook of partial least squares: Concepts, methods and applications",{"type":21,"value":215}," (pp. 23–46). Springer.",{"type":15,"tag":157,"props":217,"children":218},{},[219,221,229,231,236,238,243],{"type":21,"value":220},"Dijkstra, T. K. (2014). 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