{
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  "Type": "Package",
  "Title": "Robust Coefficient Alpha and Omega with Missing and Non-Normal\nData",
  "Version": "0.7.2",
  "Date": "2023-08-26",
  "Author": "Zhiyong Zhang and Ke-Hai Yuan",
  "Maintainer": "Zhiyong Zhang <johnnyzhz@gmail.com>",
  "Description": "Cronbach's alpha and McDonald's omega are widely used\nreliability or internal consistency measures in social,\nbehavioral and education sciences. Alpha is reported in nearly\nevery study that involves measuring a construct through\nmultiple test items. The package 'coefficientalpha' calculates\ncoefficient alpha and coefficient omega with missing data and\nnon-normal data. Robust standard errors and confidence\nintervals are also provided. A test is also available to test\nthe tau-equivalent and homogeneous assumptions. Since Version\n0.5, the bootstrap confidence intervals were added.",
  "License": "GPL",
  "LazyLoad": "yes",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-07 10:48:16 UTC",
    "User": "root"
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  "Repository": "https://johnnyzhz.r-universe.dev",
  "Date/Publication": "2023-08-27 07:30:54 UTC",
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    "login": "johnnyzhz",
    "description": "Zhang is Professor of Quantitative Psychology and Director of Lab for Big Data Methodology at University of Notre Dame.\n",
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    "description": "Zhang is Professor of Quantitative Psychology and Director of Lab for Big Data Methodology at University of Notre Dame.\r\n"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/coefficientalpha"
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  "_searchresults": 15,
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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    "extra/contents.json",
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  "_realowner": "johnnyzhz",
  "_cranurl": false,
  "_releases": [
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      "date": "2013-04-13"
    },
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      "date": "2013-04-25"
    },
    {
      "version": "0.3.2",
      "date": "2014-11-14"
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        "item2",
        "item3",
        "item4",
        "item5",
        "item6",
        "item7",
        "item8",
        "item9",
        "item10"
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      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "coefficientalpha-package",
      "title": "Robust Coefficient Alpha and Omega with Missing and Non-Normal Data",
      "topics": [
        "coefficientalpha-package",
        "coefficientalpha"
      ]
    },
    {
      "page": "alpha",
      "title": "Robust Cronbach's alpha and McDonald's omega",
      "topics": [
        "alpha",
        "omega"
      ]
    },
    {
      "page": "bootstrap",
      "title": "Bootstrap se and CI for alpha and omega",
      "topics": [
        "bootstrap"
      ]
    },
    {
      "page": "example",
      "title": "An example data set",
      "topics": [
        "example"
      ]
    },
    {
      "page": "plot.alpha",
      "title": "Alpha/Omega related plot",
      "topics": [
        "plot",
        "plot.alpha",
        "plot.omega"
      ]
    },
    {
      "page": "summary.alpha",
      "title": "Print alpha/omega and its confidence interval.",
      "topics": [
        "summary",
        "summary.alpha",
        "summary.omega"
      ]
    },
    {
      "page": "tau.test",
      "title": "Test the tau-equivalence and the homogeneity of items",
      "topics": [
        "tau.test"
      ]
    }
  ],
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    "MASS",
    "mnormt",
    "numDeriv",
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    "rsem"
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  "_nocasepkg": "coefficientalpha",
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