This release introduces major modules for data preprocessing and item
analysis, alongside enhancements to the CFA workflow.
Missing Value Module: Added a new module for
comprehensive missing data diagnostics and imputation. Users can now
visualize missingness patterns and apply strategies ranging from
listwise deletion to advanced imputation methods (e.g., MICE,
missForest).
Item Drop Out: Introduced the “Item Drop Out”
module (formerly Item-Rest) to facilitate automated item elimination
strategies for optimizing scale properties and factor structures.
CFA Module Updates: Enhanced the Confirmatory
Factor Analysis (CFA) module, specifically improving the “Model Builder”
to allow for easier definition of covariances and model
specifications.
Reliability Analysis: Added support for
Stratified Alpha coefficient calculation to better
assess reliability in multidimensional scales.