Dusting Off the Data: Using the 2007 CIRP Data to Predict First-Year Students’ Four-Year Outcomes
2013-02-12
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Dusting Off the Data: Using the 2007 CIRP Data to Predict First-Year Students’ Four-Year Outcomes
Authors
Published Date
2013-02-12
Publisher
Type
Presentation
Abstract
In summer 2007, the majority of first-year (non-transfer) students (4,500+) completed the Cooperative Institutional Research Program (CIRP) survey during Orientation sessions at the University of Minnesota-Twin Cities. The CIRP provides practitioners and administrators with valuable insights into college student behaviors, academic preparedness, college expectations, values and goals, motivations for attending the University, and interactions with peers and faculty. Four years later, it is time to take the data off the shelf, dust it off, and utilize this substantive source of information to examine factors predictive of first-year students’ first term/year grade point averages, ongoing retention, and four-year graduation rates. Practitioners and administrators attending this session can learn more about the factors (e.g. behaviors, goals, expectations, etc.) predicting first-year students’ retention, graduation, and grade point averages. The results of these analyses can be used to promote data-driven decision-making for the purposes of developing interventions to reach out to the students most at risk for attrition and prioritizing initiatives to enhance students’ long-term success.
Keywords
Description
Presented at the Focusing on the First Year conference, Minneapolis, MN, February 13, 2013.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Soria, Krista M.. (2013). Dusting Off the Data: Using the 2007 CIRP Data to Predict First-Year Students’ Four-Year Outcomes. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/157246.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.