Improved: Added missing decorators to CB-SEM bootstrapping output.
Fixed: Exported model PNG-images no longer include a gray box.
Fixed: Addressed an issue where SmartPLS would unexpectedly close when the local user name contained certain characters, such as "&".
Fixed: Resolved freezing issue on certain Windows machines.
Version 4.1.0.1, released 2024-03-19
Improved: Udate to the latest Java runtime version 21.0.2+13.
Improved: Udate to the latest JavaFX version 21.0.2.
Improved: Growth models - new sample model for the confirmatory factor analysis (CFA).
Improved: Second-order factor models - new sample model for the confirmatory factor analysis (CFA).
Improved: Added explanatory hint text, prompting users to press ENTER when creating new constructs via Drag and Drop (DnD), enhancing user understanding and interaction.
Improved: The default font for the entire app is now customizable in the preferences dialog.
Fixed: Graphical model zoom level now automatically restores upon reload.
Fixed: Validation issue for missing STDEV on covariance file data import.
Localization: Improved translations and added 11 new languages (Bulgarian,Danish, Dutch, Estonian, Finnish, Greek, Hungarian, Lithuanian, Slovak, Slovenian, Ukrainian).
Version 4.1.0.0, released 2024-01-18
Fixed: Missing specific indirect effects in the PLS algorithm.
Fixed: Issue with background color of models that were created in earlier versions.
Version 4.0.9.9, released 2023-12-23
Improved: Transparency of connection labels in PROCESS models for enhanced legibility.
Improved: Locked buttons in algorithm dialogs during calculations to prevent unintended interactions.
Improved: Enhanced reporting of Out-Of-Memory problems for better diagnosis.
Improved: Standardized setup options across all bootstrapping dialogs for a more consistent user interface.
Improved: Restructured the reporting of "per sample" results for all Bootstrapping algorithms for improved presentation.
Improved: Increased numbers of permitted subsamples for all permutations and bootstrapping algorithms to 2 million.
Improved: Enabled offline activation of licenses for convenience.
Fixed: Issues with white text when exporting charts to images in Dark Mode.
Fixed: Problems with automatic recalculation in the modeling window when the cogwheel button is activated
Fixed: Incomplete fallback texts for missing results in Excel and HTML reports.
Fixed: Labels in the CVPAT results table.
Fixed: Issues when calculating the HTMT results in CB-SEM.
Version 4.0.9.8, released 2023-12-05
Improved: Default color of CB-SEM error terms adjusted for enhanced visibility.
Improved: Graphical output configuration area revamped for a more user-friendly experience.
Improved: Enhanced the collinearity assessment for multiple regression by incorporating the variance decomposition in the results of the condition index.
Improved: Improved error messages for model comparison when two models are incompatible.
Fixed: GUI layout no longer disrupted by long workspace paths or file names.
Fixed: Transparent background issues with PNG and SVG exports resolved; no more black background in Microsoft Word.
Feature: Methods: Multiple regression models, including many useful diagnostics and reports to fully perform the analyses.
Feature: Methods: PROCESS type analysis, including bootstrapping of conditional direct and indirect effects.
Feature: Methods: Necessary condition analysis (NCA) for regression models.
Feature: Methods: Accounting for scale type of variables in most algorithms.
Feature: Methods: Unstandardized and mean-centered PLS-SEM analysis.
Feature: Model editor: fundamentally renewed and improved.
Feature: Model editor: improved drag and drop support for faster modeling.
Feature: Model editor: tool to support the alienation of model elements.
Feature: Model editor: variable positioning of the construct labels.
Feature: Model editor: separate styling of model elements.
Feature: Model editor: connection line styles can be amended (dotted, dashed, solid).
Feature: Model editor: source and target decorations of connections can be amended (arrows, diamonds, rectangles).
Feature: Model editor: straight connecting lines can be changed (e.g. in connections with corners).
Feature: Model editor: shapes of mode elements are available (circle, rectangle, hexagon).
Feature: Model editor: notes can use Markdown syntax and contain images.
Feature: Model editor: special markers display scale types of used indicators.
Feature: Model editor: displaying moderating effects more intuitive.
Feature: Model editor: displaying quadratic effects more intuitive.
Feature: Model editor: displaying Gaussian copulas.
Feature: Reports: new mode to compare calculation results.
Feature: Data files: fundamentally renewed import and setup.
Feature: Data files: can be imported from Excel.
Feature: Data files: can be imported from SPSS files.
Feature: Data files: can be created from calculation results (e.g., latent variable scores for the second stage of estimating higher-order constructs).
Feature: Data files: can be created from data groups.
Feature: Data files: define scale type of variables (binary, metric, ordinal, categorical).
Feature: Data files: change the indicator names by using the new setup option in the data view.
Feature: Sample models: Many new sample models are now included.
Feature: Reports can be saved.
Feature: Reports can be compared side-by-side.
Feature: Charts can be customized.
Version 3.3.9, released 2022-03-28
Fixed: Issues with trial.
Version 3.3.8, released 2022-03-27
Fixed: Minor stability issues.
Improved: Upgraded internal libraries.
Version 3.3.7, released 2022-01-23
Improved: Updated translation files.
Improved: Upgraded internal libraries.
Version 3.3.6, released 2022-01-19
Improved: Improved performance of several algorithms.
Improved: Upgraded internal libraries.
Version 3.3.5, released 2021-12-20
Fixed: Deadlocks occurred on some computers during save operations.
Version 3.3.4, released 2021-12-16
Fixed: Log4J Vulnerability fix. Log4J updated to a patched version (2.16.0)
Improved: Upgraded internal libraries.
Version 3.3.3, released 2021-01-11
Improved: Upgraded internal libraries.
Improved: GUI adjustments, for a better display under Windows 10 and MacOSX Big Sur.
Improved: Indicators that contain non-numeric values are marked with an exclamation mark + tooltip in the datafile editor.
Fixed: Display errors and refresh problems under MacOSX Big Sure.
Fixed: Performance issue with PLSC algorithm.
Fixed: Installation problem in the Persian language area.
Version 3.3.2, released 2020-04-21
Improved: Upgraded internal libraries.
Version 3.3.1, released 2020-04-21
Improved: Upgraded internal libraries.
Version 3.3.0, released 2020-04-11
Improved: Updated embedded Java version
Improved: Mac OS installer includes Java
Version 3.2.9, released 2020-01-08
Feature: Descriptive statistics for latent variable scores, residuals, and prediction errors
Feature: Preferences option to hide leading zeros in the results output
Feature: Implementation of consistent PLS-MGA and permutation
Localization: Translation to Urdu
Localization: Update of the existing language versions
Improved: Added specific indirect effects to the PLS-MGA and permutation results
Improved: PLS-MGA two-tailed p-values
Improved: Added intercepts for unstandardized coefficients IPMA results
Improved: Software speed and performance
Improved: Blindfolding missing data treatment (i.e., it does not support pairwise deletion anymore)
Improved: Added construct level results (e.g., R²) in the modeling window of bootstrapping
Improved: Descriptive statistics for indicator data (e.g., group-specific outcomes)
Improved: Excel export of results
Fixed: PLSpredict LV predictions
Fixed: Changing the sort order in the result tables (e.g., by variable name)
Fixed: Pairwise deletion to treat missing values
Fixed: Highlighting of p-values for PLS-MGA results
Version 3.2.8, released 2018-11-22
Feature: Implementation of predictive model selection criteria for PLS and PLSc
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)
Improved: Inclusion of all specific indirect effects for the mediator analysis
Improved: Color highlighting of significant p-values in bootstrapping, permutation, and multigroup analysis (MGA)
Improved: Results presentation for bootstrapped fit indices
Improved: Software activation procedure
Localization: Translation to Korean (100%)
Localization: Translation to Malay (100%)
Localization: Translation to Polish (>20%)
Localization: Translation to Rumanian (>50%)
Localization: Correction of incompletions and little issues in the different language translations
Fixed: Residual correlation instead of covariance for PLSc
Fixed: Bootstrapping sometimes stopped when using “complete bootstrapping” with repeated indicators due to problems in the fit calculation for these models