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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": []
}