Related Resources
This resource provides information on the application of the PPG-1 method to examine disproportionate impact for student equity and achievement data. The document explains the requirements for colleges to analyze outcomes among different subgroups of student characteristics, such as race/ethnicity, gender, disability status, etc. Additionally, the document includes an example table illustrating primary disaggregated groups and secondary disaggregated gender subgroups.
This document explains the differences between DataVista’s two cohort views: General Admit and K12 Special Admit students. It outlines how each cohort is defined, tracked over specific timeframes, and what reports, metrics, and disaggregations are available for analysis. The resource details the unique characteristics of each student group, including enrollment criteria, cohort tracking periods, and the types of outcomes measured to support understanding and comparison of these cohorts within community college data systems.