An animation and a document explaining data disaggregation are provided here. As stated in the associated resource document, "At its most basic level, data disaggregation involves drilling down from summary or aggregate data (such as the entire population of students at a college) into smaller units of interest, creating subgroups by using attributes such as age, ethnicity, gender, socioeconomic status, first-time status, full-time/part-time status, etc. In educational settings this practice can help us uncover patterns of behavior within discrete subgroups of our student populations. " This resource is part of the Data Disaggregation Applied Solution Kit (ASK).
To learn more, please see the below contact information:
Craig Hayward, PhD
Senior Consulting Researcher
The RP Group

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This entry was posted on Tuesday, December 20th, 2016 at 3:32 pm