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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.