| Overall Rating | Silver - expired |
|---|---|
| Overall Score | 63.40 |
| Liaison | Olivia Herron |
| Submission Date | March 2, 2016 |
| Executive Letter | Download |
Miami University
IC-3: Academics and Demographics
| Status | Score | Responsible Party |
|---|---|---|
|
N/A |
Number of academic divisions:
Number of academic departments (or the equivalent):
Full-time equivalent enrollment:
Full-time equivalent of employees:
Full-time equivalent of distance education students:
Total number of undergraduate students:
Total number of graduate students:
Number of degree-seeking students:
Number of non-credit students:
Number of employees:
Number of residential students:
Number of residential employees:
Number of in-patient hospital beds:
Data source(s) and notes about the submission:
In this and other credits requiring annualized figures, they were calculated as follows:
for students and residential employees: 70% of the fall figure (headcount or FTE, as designated)
for all other employees: 90% of the fall figure (headcount or FTE, as designated)
This simple estimation method was chosen for student figures because it corresponded well to one year's worth of detailed and carefully-assembled data that was annualized by calculating a weighted average based on counts per semester and the number of weeks in each semester. It made data-gathering much simpler for credits that used such data from different baseline years.
Using the same method, but with a factor of 0.9, to annualize employees, seemed to be a reasonable estimate.
In this and other credits requiring annualized figures, they were calculated as follows:
for students and residential employees: 70% of the fall figure (headcount or FTE, as designated)
for all other employees: 90% of the fall figure (headcount or FTE, as designated)
This simple estimation method was chosen for student figures because it corresponded well to one year's worth of detailed and carefully-assembled data that was annualized by calculating a weighted average based on counts per semester and the number of weeks in each semester. It made data-gathering much simpler for credits that used such data from different baseline years.
Using the same method, but with a factor of 0.9, to annualize employees, seemed to be a reasonable estimate.
The information presented here is self-reported. While AASHE staff review portions of all STARS reports and institutions are welcome to seek additional forms of review, the data in STARS reports are not verified by AASHE. If you believe any of this information is erroneous or inconsistent with credit criteria, please review the process for inquiring about the information reported by an institution or simply email your inquiry to stars@aashe.org.