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von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
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Ocean, Mia – Journal of College Student Retention: Research, Theory & Practice, 2017
There is a wealth of literature on the integration of university students increasing retention and ultimate completion, yet much less is known about the connections or disconnections that exist for community college students. Therefore, I interviewed financially eligible Pell Grant community college students (n = 62) about their connections to…
Descriptors: Community Colleges, Two Year College Students, Student Attitudes, Social Integration
Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students