Assessment – On-Demand Training

Explore What “Good” Data Looks Like & How to Utilize It for Maximum Impact

It is often said that higher education is data rich, but information poor. But what does that phrase mean? Institutions are data rich. Thanks to the infusion of technology in almost every aspect of the campus ecosystem, institutions have access to data at unprecedented levels.  Technology also has evolved to make gathering and analyzing data more efficient and effective. 

But challenges come when translating that data into information. Gathering direct feedback from students and other stakeholders is a challenge with survey response rates decreasing and issues of trust increasing, and additionally there must be an understanding of the role of data in empowering equitable change and/or sustaining systemic oppression. Those using data have a challenge and an obligation to understand what “good” data means in various contexts to ensure that the best information is being used to improve learning, systems and structures within higher education.

Our expert presenter explores what “good” data looks like and how to apply it to the work you do. You’ll be better able to make confident decisions about what data to use, when and how, so you can have the greatest impact and the most buy-in.

With so much data available on a campus, practitioners often have not stopped to think about if their data is “good enough” for its purpose. If they have thought about it, it is usually because someone has questioned or dismissed the data, sometimes with an explanation but other times not. Having a broader understanding of good data and being able to confidently share that with others is essential for you to use data to increase resources, create change or help others understand the work you do.

Topics Covered

After attending this online training, you will be better equipped to:

• Understand key statistical concepts related to reliability and validity of data – increase your confidence in explaining these concepts as they relate to your data.
• Describe the meaning of response rates and representative samples – make decisions about what applies so you can be confident in presenting good data.
• Articulate the difference between statistical and practical significance – know which concept to prioritize in your context.
• Apply the four equity-based questions to assess data before utilizing – be confident that the data you are using is leading to equitable solutions.
• Recognize ethical and political limitations when using data – navigate situations where good data can be limited based on context.
• Create explanations of why data is being used – get the buy-in your need from key stakeholders.

Presenter

Dr. Kimberly Yousey-Elsener is the Senior Manager of Career Data and Research at The Career Leadership Collective.
Click here for full bio.