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RISK ADJUSTED METRICS

MeasureOne’s proprietary multi-variant regression analysis builds on the Beginning Post Secondary Survey (BPS) methodology that helps determine the relative impact of risk factors on student outcomes. The analysis helps schools understand the effects that multiple risk factors have on student outcomes, as well as to benchmark these outcomes to risk-normalized populations. This equips schools to understand, in a unique way, how they are serving their student population.

THE BENEFITS OF RISK ADJUSTED METRICS
Value Proposition

Adjust school metrics for non-traditional student populations

Unveil Institutional Quality

Current efforts to evaluate institutional quality rely on a set of proxies that include graduation rates, student loan default rates and post-graduate starting salaries, which are highly influenced by institutional selectivity. Risk adjustment establishes empirically derived standards to adjust for demographic impact, enabling institutions compare outcomes with national outcomes.

Impact Higher Education Policy

By calculating risk adjusted outcomes, policy makers can more accurately assess an institution’s value added (as opposed to its wealth and selectivity), while reducing the perverse incentives of the current system that penalize institutions for expanding access and serving low-income and non-traditional students.

non traditional risk factors
Institutional
quality
  • Delayed
    entry
  • GED rather than
    HS diploma
  • Part-time
    enrollment
  • Full-time
    employment
  • Independent
  • With dependents
    other than a spouse
  • Single
    parent
  • Pell
    eligible
Student
Outcomes
HOW SCHOOL INSIGHT DRIVES VALUE
Academic Program
  • Not Always Full-Time
  • Single Parent
  • Full-Time Employment
  • GED or Equivalent
  • Independent
  • Years Enrollment Delayed
  • Student has Dependents
  • Student Pell Eligible
Total
  • 34.54%
  • 20.17%
  • 37.30%
  • 24.51%
  • 20.74%
  • 23.88%
  • 24.90%
  • 28.19%
Business
  • 34.62%
  • 19.54%
  • 37.50%
  • 25.08%
  • 21.08%
  • 23.04%
  • 25.16%
  • 27.54%
Information Technology
  • 34.20%
  • 19.90%
  • 37.50%
  • 37.13%
  • 20.31%
  • 23.76%
  • 23.51%
  • 28.52%
Nursing
  • 35.18%
  • 20.94%
  • 37.52%
  • 25.07%
  • 20.21%
  • 24.64%
  • 24.40%
  • 28.50%
Medicine/Medical Services
  • 33.55%
  • 21.06%
  • 37.84%
  • 23.44%
  • 20.66%
  • 23.75%
  • 24.59%
  • 28.04%
Education
  • 33.33%
  • 22.22%
  • 22.22%
  • 11.11%
  • 11.11%
  • 66.67%
  • 22.22%
  • 33.32%
Civil Services
  • 34.12%
  • 20.64%
  • 36.21%
  • 23.89%
  • 20.36%
  • 24.49%
  • 27.30%
  • 28.12%
Engineering
  • 27.86%
  • 18.41%
  • 33.33%
  • 26.37%
  • 17.41%
  • 24.88%
  • 25.87%
  • 23.88%
BS-General Studies
  • 34.96%
  • 24.02%
  • 39.84%
  • 22.66%
  • 23.44%
  • 22.66%
  • 25.59%
  • 31.01%
Liberal Arts
  • 36.43%
  • 20.93%
  • 34.88%
  • 19.38%
  • 25.58%
  • 27.13%
  • 27.91%
  • 33.32%
Electrical/Automotive
  • 38.19%
  • 17.48%
  • 35.60%
  • 24.43%
  • 21.84%
  • 28.32%
  • 25.40%
  • 30.20%

Compares the institution’s actual and risk adjusted metrics against actual metrics of other schools.

Risk Adjusted Comparison

(%)
  • Actual Graduation Rate
  • Risk Adjusted Grad Prediction
  • Graduation Rate of All Schools
  • Graduation Rate of Selected Cohort

Compares the institution’s risk adjusted population against national benchmark distribution used to create the statistical model

Total
(%)
Bachelors
(%)
Associates
(%)
Certificate/Diploma
(%)
  • Not Always Full-Time
  • Single Parent
  • Full-Time Employment
  • GED or Equivalent
  • Independent
  • Years Enrollment Delayed
  • Student has Dependents
  • Student Pell Eligible

Get the critical perspective of risk adjusted metrics, find out how here.