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  "Title": "Methods for Conducting Nonresponse Bias Analysis (NRBA)",
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  "Description": "Facilitates nonresponse bias analysis (NRBA) for survey\ndata.  Such data may arise from a complex sampling design with\nfeatures such as stratification, clustering, or unequal\nprobabilities of selection. Multiple types of analyses may be\nconducted: comparisons of response rates across subgroups;\ncomparisons of estimates before and after weighting\nadjustments; comparisons of sample-based estimates to external\npopulation totals; tests of systematic differences in covariate\nmeans between respondents and full samples; tests of\nindependence between response status and covariates; and\nmodeling of outcomes and response status as a function of\ncovariates. Extensive documentation and references are provided\nfor each type of analysis. Krenzke, Van de Kerckhove, and\nMohadjer (2005)\n<http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf>\nand Lohr and Riddles (2016)\n<https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>\nprovide an overview of the methods implemented in this package.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
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  "Author": "Ben Schneider [aut, cre]\n(<https://orcid.org/0000-0002-0406-8470>), Jim Green [aut],\nShelley Brock [aut] (Author of original SAS macro, WesNRBA),\nTom Krenzke [aut] (Author of original SAS macro, WesNRBA),\nMichael Jones [aut] (Author of original SAS macro, WesNRBA),\nWendy Van de Kerckhove [aut] (Author of original SAS macro,\nWesNRBA), David Ferraro [aut] (Author of original SAS macro,\nWesNRBA), Laura Alvarez-Rojas [aut] (Author of original SAS\nmacro, WesNRBA), Katie Hubbell [aut] (Author of original SAS\nmacro, WesNRBA), Westat [cph]",
  "Maintainer": "Ben Schneider <BenjaminSchneider@westat.com>",
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  "Repository": "https://westat-schneider.r-universe.dev",
  "Date/Publication": "2023-11-22 02:42:05 UTC",
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    "get_cumulative_estimates",
    "predict_outcome_via_glm",
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    "rake_to_benchmarks",
    "stepwise_model_selection",
    "t_test_of_weight_adjustment",
    "t_test_resp_vs_elig",
    "t_test_resp_vs_full",
    "t_test_vs_external_estimate",
    "wt_class_adjust"
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      "title": "Parent involvement survey: population data",
      "object": "involvement_survey_pop",
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        "tbl",
        "data.frame"
      ],
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        "SCHOOL_DISTRICT",
        "SCHOOL_ID",
        "STUDENT_GRADE",
        "STUDENT_AGE",
        "STUDENT_DISABILITY_CODE",
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      ],
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        "data.frame"
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        "SCHOOL_DISTRICT",
        "SCHOOL_ID",
        "STUDENT_GRADE",
        "STUDENT_AGE",
        "STUDENT_DISABILITY_CODE",
        "STUDENT_DISABILITY_CATEGORY",
        "STUDENT_SEX",
        "STUDENT_RACE",
        "WHETHER_PARENT_AGREES",
        "PARENT_HAS_EMAIL",
        "PARENT_HAS_EMAIL_BENCHMARK",
        "STUDENT_RACE_BENCHMARK",
        "BASE_WEIGHT",
        "N_STUDENTS",
        "CONTACT_ATTEMPTS"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Parent involvement survey: stratified, two-stage sample",
      "object": "involvement_survey_str2s",
      "class": [
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        "tbl",
        "data.frame"
      ],
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        "PARENT_HAS_EMAIL",
        "PARENT_HAS_EMAIL_BENCHMARK",
        "STUDENT_RACE_BENCHMARK",
        "N_SCHOOLS_IN_DISTRICT",
        "N_STUDENTS_IN_SCHOOL",
        "BASE_WEIGHT",
        "CONTACT_ATTEMPTS"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "assess_range_of_bias",
      "title": "Assess the range of possible bias based on specified assumptions about how nonrespondents differ from respondents",
      "topics": [
        "assess_range_of_bias"
      ]
    },
    {
      "page": "calculate_response_rates",
      "title": "Calculate Response Rates",
      "topics": [
        "calculate_response_rates"
      ]
    },
    {
      "page": "chisq_test_ind_response",
      "title": "Test the independence of survey response and auxiliary variables",
      "topics": [
        "chisq_test_ind_response"
      ]
    },
    {
      "page": "chisq_test_vs_external_estimate",
      "title": "Test of differences in survey percentages relative to external estimates",
      "topics": [
        "chisq_test_vs_external_estimate"
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    },
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      "topics": [
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      "title": "Parent involvement survey: stratified, two-stage sample",
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      "page": "predict_outcome_via_glm",
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        "predict_outcome_via_glm"
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      "title": "Fit a logistic regression model to predict response to the survey.",
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      "buildurl": "https://github.com/r-universe/westat-schneider/actions/runs/35204540443"
    }
  ]
}