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Walking Through an Enrollment Forecasting Example
A key development in higher education over the past several decades is the growth of institutional research offices that function under the core principles of explaining what is happening now and attempting to shed light...Read Moreabout: Walking Through an Enrollment Forecasting Example -
ORCID Links Researchers, Their Research, and Their Institutions
eAIR had an opportunity to speak with Shawna Sadler, Engagement Manager, Outreach & Partnerships at ORCID, about connecting researchers with their work and their institutions. How would you describe ORCID to someone...Read Moreabout: ORCID Links Researchers, Their Research, and Their Institutions -
In Memoriam: Glynton Smith
AIR is saddened to announce the passing of longtime member Glynton Smith on March 3, 2021. Glynton was a retired director of institutional research at Georgia State as well as the Medical College of Georgia and the Unive...Read Moreabout: In Memoriam: Glynton Smith -
Mapping in Tableau
Visualizing geographic information helps data consumers quickly and easily derive insights and meaning. Institutional researchers, for example, may want to map students' home states or countries to help campus administra...Read Moreabout: Mapping in Tableau -
Using Survey Results to Assist Low-Income Queens College SEEK Students in Obtaining Resources During the Pandemic
Students from lower socioeconomic backgrounds, many of whom are of color, continue to suffer as a result of the pandemic and need support from their colleges. The Queens College (QC) Percy E. Sutton, Search for Education...Read Moreabout: Using Survey Results to Assist Low-Income Queens College SEEK Students in Obtaining Resources During the Pandemic -
IPEDS Updates
Spring 2020 Data Released NCES has released provisional data from the Spring 2020 collection. The Spring 2020 collection includes the following survey component data: Enrollment, Fall 2019; Finance, Fiscal Year 2...Read Moreabout: IPEDS Updates -
Data Mining: A Primer for IR
What Is Data Mining and Why Would I Want to Use It? Data mining combines the areas of statistics, artificial intelligence, and machine learning to discover relationships and insights hidden within large volumes of data....Read Moreabout: Data Mining: A Primer for IR -
Common Analytics Terms: A Quick Reference
Have you ever been involved in a conversation in which two or more people are using the same term but with different meanings? Establishing the meaning of common terms prevents miscommunications and helps move conversati...Read Moreabout: Common Analytics Terms: A Quick Reference -
Strategies for Using Predictive Analytics
I interviewed Karl Konsdorf, Director of Research, Analytics and Reporting at Sinclair Community College, to learn about their strategies for using predictive analytics. Can you share some examples of how you are using P...Read Moreabout: Strategies for Using Predictive Analytics -
Percentage of Staff Time Devoted to Advanced Analytics
From the 2018 AIR National Survey of IR Offices, we learned that 19% of staff time was devoted to conducting basic analytics (e.g., descriptive statistics). But what about advanced analytics (e.g., predictive analytics)?...Read Moreabout: Percentage of Staff Time Devoted to Advanced Analytics