education-quantitative-data-cleaning

Use after quantitative education data are collected and before descriptive, inferential, reliability, validity, SEM, multilevel, or learning analytics analysis. Covers data import checks, data dictionary validation, missing values, invalid values, outliers, duplicate records, participant attrition, variable coding, reverse scoring, scale scoring, group/time…

Independent GitHub snapshot · Automated classification · Original documentation governs