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{
    "name": "WW",
    "portdir": "science/WW",
    "version": "2.2",
    "license": "MIT",
    "platforms": "{darwin any}",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://github.com/tazzben/WW",
    "description": "A command line tool to disaggregate Scantron or ZipGrade pre- and post-test responses into Walstad and Wagner learning types (Walstad and Wagner 2016) and adjusts them for guessing (Smith and Wagner 2017).",
    "long_description": "In the Spring of 2016, Walstad and Wagner released a paper suggesting that the pretest/posttest delta is insufficient in assessing learning outcomes. However, performing such a disaggregation is time intensive, especially if the questions appear in a different location (or order) on the pre and post test. WW_out is a command line tool that makes this disaggregation easy. It uses four CSV files to generate outcomes by question and student.",
    "active": true,
    "categories": [
        "science",
        "education"
    ],
    "maintainers": [
        {
            "name": "bosmith",
            "github": "tazzben",
            "ports_count": 9
        }
    ],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "py312-build",
                "py312-setuptools",
                "py312-wheel",
                "clang-17",
                "py312-installer"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "py312-pandas",
                "python312"
            ]
        }
    ],
    "depends_on": []
}