True composite and factor reliabilities

The menu option “Explore additional coefficients and indices”, available in WarpPLS starting in version 6.0,  allows you to obtain an extended set of reliabilities. The extended set of reliabilities includes the classic reliability coefficients already available in the previous version of this software, plus the following, for each latent variable in your model: Dijkstra's PLSc reliability (also available via the new menu option “Explore Dijkstra's consistent PLS outputs”), true composite reliability, and factor reliability. When factor-based PLS algorithms are used in analyses, the true composite reliability and the factor reliability are produced as estimates of the reliabilities of the true composites and factors. They are calculated in the same way as the classic composite reliabilities available from the previous version of this software, but with different loadings. When classic composite-based (i.e., non-factor-based) algorithms are used, both true composites and factors coincide, and are approximated by the composites generated by the software. As such, true composite and factor reliabilities equal the corresponding composite reliabilities whenever composite-based algorithms are used.

Related YouTube video:

Explore True Composite and Factor Reliabilities in WarpPLS

http://youtu.be/DwslOCEvOd4

Dijkstra's consistent PLS outputs

The menu option “Explore Dijkstra's consistent PLS outputs”, available in WarpPLS starting in version 6.0,  allows you to obtain key outputs generated based on Dijkstra's consistent PLS (a.k.a. PLSc) technique. These outputs include PLSc reliabilities for each latent variable, also referred to as Dijkstra's rho_a's, which appear to be, in many contexts, better approximations of the true reliabilities than the measures usually reported in PLS-based SEM contexts – the composite reliability and Cronbach’s alpha coefficients. Also included in the outputs generated via this menu option are PLSc loadings; along with the corresponding standard errors, one-tailed and two-tailed P values, T ratios, and confidence intervals.

Related YouTube video:

Explore Dijkstra's Consistent PLS Outputs in WarpPLS

http://youtu.be/WdKogy29OVg