Fixed: Bootstrapping sometimes stopped when using “complete bootstrapping” with repeated indicators due to problems in the fit calculation for these models.
Fixed: Residual correlation instead of covariance for PLSc.
Localization: Correction of incompletions and little issues in the different language translations.
Localization: Translation to Rumanian (>50%).
Localization: Translation to Polish (>20%).
Localization: Translation to Malay (100%).
Localization: Translation to Korean (100%).
#SMARTPLS INDICATOR ERROR UNIQUE SOFTWARE#
Improved: Software activation procedure.
Improved: Results presentation for bootstrapped fit indices.
Improved: Color highlighting of significant p-values in bootstrapping, permutation, and multigroup analysis (MGA).
Improved: Inclusion of all specific indirect effects for the mediator analysis.
Feature: New unique case identifier (i.e., a fixed number for each observation in the dataset, which is useful, for example, when using the casewise deletion option, multigroup or segmentation analyses).
Feature: Implementation of predictive model selection criteria for PLS and PLSc.
Fixed: Highlighting of p-values for PLS-MGA results.
Fixed: Pairwise deletion to treat missing values.
Fixed: Changing the sort order in the result tables (e.g., by variable name).
Improved: Descriptive statistics for indicator data (e.g., group-specific outcomes).
Improved: Added construct level results (e.g., R²) in the modeling window of bootstrapping.
Improved: Blindfolding missing data treatment (i.e., it does not support pairwise deletion anymore).
Improved: Software speed and performance.
Improved: Added intercepts for unstandardized coefficients IPMA results.
Improved: Added specific indirect effects to the PLS-MGA and permutation results.
#SMARTPLS INDICATOR ERROR UNIQUE UPDATE#
Localization: Update of the existing language versions.
Feature: Implementation of consistent PLS-MGA and permutation.
Feature: Preferences option to hide leading zeros in the results output.
Feature: Descriptive statistics for latent variable scores, residuals, and prediction errors.