Data Example
The following model demonstrates the methodology that will be used.
The table below shows sample data for CCC and 6 (fictitious) colleges. These colleges are the "Candidate Institutions".
This model shows 6 Candidate Institutions; for our project, there will be over 200 Candidate Institutions.
The table contains data for 6 quantitative variables. For our project, there will be 16 quantitative variables.
| CCC |
College A |
College B |
College D |
College
E |
College
F |
College
G |
|
| Undergraduate
full-time enrollment |
1554 |
1350 |
1700 |
1275 |
1650 |
1475 |
2140 |
| % in
residence |
65 |
60 |
55 |
45 |
60 |
60 |
65 |
| Student-faculty
ratio |
13.7 |
12.9 |
13.9 |
14.6 |
9.4 |
12.6 |
14.1 |
| Tuition |
23848 |
21500 |
26800 |
21600 |
23600 |
22500 |
19800 |
| Endowment
per FTE |
10954 |
10800 |
13400 |
20900 |
12400 |
11500 |
14500 |
| SAT 75th
percentile |
580 |
590 |
620 |
570 |
550 |
600 |
690 |
We will calculate each college's
"similarity" to Cedar Crest using a statistical method.
| College
A |
College
B |
College D |
College E |
College F |
College G |
| 1.55 |
2.32 |
4.32 |
2.71 |
1.26 |
3.80 |
We then "rank" the six colleges based on their "distance" from Cedar Crest, with the "closest" schools at the top of the list:
| College F |
1.26 |
| College A |
1.55 |
| College B |
2.32 |
| College E |
2.71 |
| College G |
3.80 |
| College D |
4.32 |
If we choose to have a peer group of
size 3, our peers are:
College F
College A
College B
If we choose to have a peer group of size 4, our peers are:
College F
College A
College B
College E
