Predictive Analytics Reporting (PAR) Framework Releases Common Data Definitions

Data definitions for all variables published using the Data Cookbook by IData, Inc.

Today the WCET-managed Predictive Analytics Reporting (PAR) Framework project publicly released full data definitions for the more than 60 institutional, transcript and student-level data collected from its 16 institutional partners for inclusion in the PAR database. This is the first time that the data fields and definitions used in PAR Framework modeling and analysis have been available beyond the project’s institutional partners. PAR data definitions have been published using a Creative Commons license – attribution, non-commercial, share-alike – to encourage distribution of the definitions into the higher education research community. Moving forward, PAR will continue to refine its data set to align, where appropriate, with the recently released Common Education Data Standards (CEDS) version 3 and other pertinent higher education data sets.

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