{ "_id": "6a1f2d13b401979e73426308", "Package": "measureR", "Title": "Tools for Educational and Psychological Measurement", "Version": "0.0.3", "Authors@R": "c(\nperson(\ngiven = \"Hasan\",\nfamily = \"Djidu\",\nemail = \"hasandjidu@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1110-6815\")\n),\nperson(\ngiven = \"Heri\",\nfamily = \"Retnawati\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-1792-5873\")\n)\n)", "Description": "'Provides an interactive toolkit for educational and\npsychological measurement implemented using the 'shiny'\nframework. The package supports content validity analysis,\ndimensionality assessment, and Classical Test Theory using the\n'CTT' package (Willse, 2018) .\nItem Response Theory (IRT) analyses are conducted via 'mirt'\n(Chalmers, 2012) . Exploratory\nFactor Analysis is performed using 'psych' (Revelle, 2025),\nwhile Confirmatory Factor Analysis (CFA) and Structural\nEquation Modeling (SEM) are based on the 'lavaan' framework\n(Rosseel, 2012) . The CFA/SEM module\nfeatures interactive model specification, automatic model\ncomparison, modification indices, comprehensive fit\ndiagnostics, path diagram visualization, and HTML report\ngeneration. 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