Overview
Time Commitment: 5 hours | Cost: $225/$325 (member/nonmember)
Foundations Workshops introduce skills needed for a strong data-informed decision culture and are packed with information considered to be the foundational knowledge in each area of concentration.
Foundations of Data introduces participants to the essential concepts of data and data management within a higher education setting. You explore different types of data, levels of measurement, where institutional data are stored, how they are governed, and how to access internal and external data sources.
This course is ideal for institutional researchers, assessment professionals, administrators, and anyone working with or interpreting data in higher education—whether new to the field or seeking a valuable refresher.
What You'll Learn
By the end of this workshop, participants will be able to:
- Articulate the types of data and the four levels of measurement
- Understand common data-related terminology in higher education
- Identify sources of administrative, non-administrative, and external data
- Describe basic concepts of data governance and data management
Who Should Attend
This workshop is ideal for higher education professionals, institutional researchers, and anyone involved in data-driven decision-making processes seeking to enhance their research design skills. Delivered in an engaging manner, the workshops are designed for anyone who works closely with data in higher education—not just IR professionals.
Register
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Jul 01
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Sep 30
Testimonials
"The workshops have been priceless in helping to further understand the basics of this dynamic and valuable field. Institutional effectiveness and research is a key to bettering the higher education system and providing not just a college experience, but one that is continuing to improve and provide quality education to the students that attend." —Anonymous, Foundations of Research Design
"Foundations of Research Design was very applicable for me as a beginner and novice in the field. The instructor was able to engineer the examples and data to suit multiple needs of the audience." —Anonymous
"What a great resource. I would recommend it to anyone, whether for a beginner or a refresher for a veteran IR employee." —Anonymous, Foundations of Research Design