Foundations of Descriptive Statistics
Workshop 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.
This workshop teaches the foundations of descriptive statistics in the context of higher education. We explore measures of distributions, central tendency, dispersion, position, and graphs to summarize data. Participants new to descriptive statistics will be served consumable information and those needing a refresher will find useful tips.
What You'll Learn
By the end of this workshop, participants will be able to:
- Articulate what a distribution is, when to use measures of distribution, and be able to perform those calculations.
- Articulate reasons to use percentiles to describe a dataset and be able to perform those calculations.
- Differentiate between measures of central tendency, when to use each, and be able to perform those calculations.
Differentiate between measures of dispersion, when to use each, and be able to perform those calculations
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.
Upcoming Events
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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