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Planning for Higher Education Journal

Published
April 16, 2020

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Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

By: Karen L. Webber

Volumes of data are available to administrators to support decision-making. But that doesn’t mean that what’s been presented is accurate. When data are misused or misconstrued, senior leaders at higher education institutions may make the wrong conclusions, ineffective policies may be enacted, and students may not be successful in completing their academic goals.

From Volume 48 Number 2 | January–March 2020

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

How Is My Institution Going to Survive the Coming Demographic Cliff?

By: Bryan C. Harvey

Abstract: A sharp, perhaps permanent contraction in the pool of college-aged students has become inescapable. Nearly all institutions could confront wrenching losses in competitiveness, revenue, or both. Yet despite advance warning, few institutions understand what they must do now to remain viable. We will go over two sets of tools that are critical for preparing for the upcoming demographic changes: 1) conducting analyses of institutional vulnerability; and 2) modeling what-if scenarios to shape strategy.

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Trends for Higher Education

Published
March 15, 2016

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Are You Prepared for Tomorrow’s Students? | Spring 2016

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