{"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":[]}