measureR 0.0.2

• Enhanced the Content Validity module with several methodological improvements:
  • Integrated official critical values of Aiken’s V (Aiken, 1985) for rating scales ranging from 3 to 7 categories.
  • Implemented scale-based Aiken’s V computation using user-selected theoretical rating ranges instead of observed minimum–maximum values.
  • Added dynamic selection of the item ID column for uploaded datasets.
  • Improved visual decision indicators for CVR, Aiken’s V, and CVI tables (color-coded validity status).
  • Disabled inferential evaluation of Aiken’s V for dichotomous (0/1) data.
• Improved data validation and robustness for uploaded content validity datasets.
• Minor UI refinements in Content Validity and CTT modules.

measureR 0.0.1

• Initial release to CRAN.
• Includes a full Shiny-based graphical user interface for:
  • Content Validity (CV)
  • Exploratory Factor Analysis (EFA)
  • Confirmatory Factor Analysis (CFA)
  • Classical Test Theory (IRT)
  • Item Response Theory (IRT)
• Includes interactive visualizations, downloadable outputs, and built-in example datasets.
• Provides run_measureR() as the main entry point for launching the application.