vibeffect Publishes the First Model for Using Predictive Analytics to Identify Thriving in Higher Education

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New research applies big data to correlate qualitative features of U.S. college campuses to individual thriving and completion.

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We challenged ourselves to scientifically define and prove what drives thriving on an individual level by treating campuses as an ‘eco-system’ made up of varying social, academic and individual qualities.

vibeffect, a family-centered college-decision framework that helps students identify campuses where they’re most likely to thrive, has published a scientifically peer-reviewed paper on how predictive analytics can determine the campus features that most contribute to an individual’s likelihood to thrive and complete.

“The majority of research in the field of higher education attainment focuses on indicators of weakness (or dropout) or indicators of persistence,” said Elena M. Cox, CEO of vibeffect. “We challenged ourselves to scientifically define and prove what drives thriving on an individual level by treating campuses as an ‘eco-system’ made up of varying social, academic and individual qualities.”

vibeffect’s research confirms that every individual has unique attributes that partially determine their potential for success. Combined with the features of college ecosystems, vibeffect is able to identify the settings wherein individual students are most likely to succeed and thrive in their postsecondary educational careers.

The article, published online in Decision Analytics, is based on a 2013-2014 national study of sophomores, juniors and seniors in four-year undergraduate programs with physical campuses. The model used is based on identifying the highest thriving college students today, understanding their success on an individual level, and applying the findings to custom assessments designed for middle and high school students, as well as college freshman.

“The goal is to close the gap for families’ access to metrics and information that helps them determine the best possible return on the college investment,” said Peter Negroni, SVP of Global Partnerships for vibeffect.

The full research article in Decision Analytics titled “A new multi-dimensional conceptualization of individual achievement in college,” is available here.

About vibeffect
vibeffect is a college-decision framework that uses predictive analytics to deliver unbiased, data-driven results that help families make confident investments in higher education. The system’s purpose is to ensure families base their college decision on their child’s strengths and the best college eco-system for their academic, social and individual thriving. For more information, visit http://www.thevibeffect.com.

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