Create Your Dream College Ranking Methodology

I’ll go ahead and throw out my first draft of what would be included with my ranking methodology, and at least give some category percentages, even if not a percentage for each factor in a category.

Outcomes (25%)
• Percentage of students accepted to graduate school
• Percentage of students accepted to their top choice graduate school
• Median grad test scores (LSAT, MCAT, GRE, etc.)
• Median grad test scores as compared to expected (based on college entrance tests from incoming students)
• Percentage of grads passing licensing certifications (whether nursing, engineering, nutrition, etc)
• Percentage of grads employed in a field related to their major that requires a college degree
• Percentage of grads employed in a job that requires a college degree

Academics (25%)
• Percentage of classes under 20
• Percentage of classes under 50
• Percentage of full-time faculty (or tenure-track faculty)
• Student: Faculty Ratio

Retention & Graduation (20%)
• Graduation rate
• Graduation rate compared to expected graduation rate (based on profile of incoming students)
• Freshmen retention
• Freshmen retention as compared to expected graduation rate (based on profile of incoming students)
• Percentage of transfers

Reputation & Selectivity (15%)
• SAT/ACT scores of incoming students
• Survey from HR departments at Fortune 1000 companies
• Survey from colleges

Financials (15%)
• Financial health grade of institution
• Endowment/student
• Percentage of loan principal remaining after 5/10 years
• Percentage of students who default on student loans
• NPV at 20 and/or 40 years (see A First Try at ROI: Ranking 4,500 Colleges - CEW Georgetown)

Rather than rankings, I’d separate them out into tiers. And instead of separation by universities vs. liberal arts and national/regional, I would sort them by the Carnegie classification for size and setting (see Carnegie Classification of Institutions of Higher Education®).

• Very small and small (up to 2,999 students): Highly Residential & Primarily Residential
• Medium (3,000-9,999 students): Highly Residential & Primarily Residential
• Large (10,000+ students): Highly Residential & Primarily Residential
• Primarily Nonresidential (all sizes)

General notes on rationale:
• Outcomes: This is kind of to see, does the “market” (grad schools/employers/licensure boards) view the education as successful
• Academics: This more to gauge the quality of quantity/quality of attention that students are likely to receive while at the university
• Retention & Graduation: Are they helping students succeed? And are their success rates because of who came to them, or because of the actions of the school in making them more successful?
• Reputation & Selectivity: This is one I have difficulty with. This is trying to capture what a student’s peer group is like, and gather differences between Harvard and Directional State U that might not be fully captured elsewhere. For instance, maybe a Harvard grad is apply to the top 5-10 grad schools or other top employers, whereas the Directional State U is looking at a completely different set of grad schools and the selectivity of the two have little overlap. But I don’t know if this just continues to feed into the prestige/cachet factor, and if all the other categories’ outcomes are positive, should reputation come in here to skew things? Thoughts?
• Financials: Is the school financially stable? The NPV (though a new-ish factor) helps to see, if there are two liberal arts schools, and one’s 40-year NPV is $700,000 and another’s is $950,000, then that’s a factor (as this is more helpful when comparing the same type of university as some fields like STEM regularly have higher earnings than many liberal arts fields).
• Tiers by residential nature of campus and campus size: I don’t know many who care if their 3500 student university is classified as a liberal arts college, regional college, or regional university (or national university). But people do care about how big their university is and whether it’s a commuter school.

What would you have on your own methodology? Why? What would you take away from this one? Why?

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