This interactive visualization is designed to help higher education policy makers, researchers, and other stakeholders understand the variation in program- and institution-level measures of performance. This beta version allows users to visualize how performance measures vary across credential level, sector, and major and how performance indicators vary with institutional characteristics.
1) In the program level accountability tab, the default performance metrics are based on “Towards a Framework for Accountability for Federal Financial Assistance Programs in Postsecondary Education (Matsudaira and Turner 2020)” but users compare the impact of using different versions of the net earnings premium metric and the effect of adding a school-level backstop based on earnings or loan repayment.
2) The institution level accountability tab provides information on the performance of schools based on earnings and loan repayment. Users focus on schools in different sectors, with different predominant degrees, or on Minority Serving Institutions (MSIs).
1) Box plots of the distribution of performance measures across sectors and by program.
2) Scatter plots showing the relationship between performance measures and institutional characteristics.
*A school is classified as failing if it has a negative loan metric and a negative earnings metric.
*Whiskers extend to the 5th and 95th Percentiles.
This user guide will walk you through how to use all of the features of this dashboard.
You can use the outlier filter to exclude observations with values above the 99th percentile or below the 1st percentile for either selected variable by checking or unchecking the box for "exclude extreme values".
Generating outputs for your own reporting is easy!
Additional questions, or problems with functionality, can be sent to |||EMAIL_ADDRESS||| Click here to download the data used in this app.