measureR 0.0.3

• CFA/SEM Module Major Upgrade:
  • Added Structural Equation Modeling (SEM) support within the CFA module. SEM models are automatically detected via the ~ operator in lavaan syntax.
  • Expanded estimator options from 6 to 18 (ML, GLS, WLS, DWLS, ULS, DLS, PML, MLM, MLMVS, MLMV, MLF, MLR, WLSM, WLSMVS, WLSMV, ULSM, ULSMVS, ULSMV).
  • Added decimal separator option (dot/comma) for international compatibility.
  • Added Variances tab with Heywood case detection and warning alerts.
  • Implemented persistent model counter for accurate model tracking across deletions.
  • Added auto-generated model notes that detect syntax changes between model runs.
  • Added model deletion (trash icon) in the fit comparison table.
  • Expanded color schemes from 4 to 12 (added Pastel, Greyscale, Earth, Vibrant, Monochrome, Sunset, Rose, Mint).
  • Added collapsible plot settings panels (General & Layout, Node & Edge Sizes, Measurement Model, Colors & Display, Fit Indices).
  • Added Measurement Model sub-controls: Curve, Split Layout, SubScale width/height.
  • Added fit indices selector for customizing which fit indices appear on the path plot.
  • Added fit indices embedded in path plot as a legend box.
  • Added Download Plot (PNG) button.
  • Added Export Report (HTML) button with auto-generated HTML reports using RMarkdown.
  • Improved HTMT calculation to handle duplicate factor names in model syntax.
  • Relaxed acceptable fit status criteria for more realistic model evaluation.
  • Added SPSS (.sav) file import support via the haven package.
• Added new dependencies: shinyBS, flextable, kableExtra, knitr, rmarkdown, officer, magick, haven, scales.

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.