Predicted
Level of Academic Challenge =
48.638 + .602*selectivity + 2.234*sector - 1.125*Extensive
- .816*Intensive + 1.266*Liberal arts + .300*General
+ .460*Other Carnegie + 1.533*on campus + 4.245*female
+ 6.586*full-time - 2.153*humanities – 3.025*math
– 6.684*preprofessional - 5.772*multiple - 4.899*Alien
+ 4.486*Asian + 1.062*Black + 3.131*Latina/o + 9.621*Native
American + 3.946*Unknown
Adjusted R2=.56
Predicted Active and Collaborative
Learning =
34.963 + 1.839*sector + 1.184*rural + 1.132*small town
+ .932*large town + .987*fringe1
+ .598*mid-size - .452*fringe2 - .079*enrollment - 2.392*Extensive
- 1.938*Intensive + .114*Liberal arts - .069*General +
.730*Other Carnegie + 5.904*female + 9.331*full-time -
.008*humanities + 4.894*math + 4.039*preprofessional +
2.936*multiple - 3.934*Alien – 3.470*Asian + 4.624*Black
+ 4.760*Latina/o + 27.944*Native American + 5.445*Unknown
Adjusted R2=.44
Predicted Student-faculty Interaction
=
40.864 + 2.178*sector + 1.849*rural + 1.802*small town
+ 1.766*large town + 1.042*fringe1 + .639*mid-size - .526*fringe2
- 2.553*Extensive - 1.378*Intensive + 3.242*Liberal arts
+ .461*General + .328*Other Carnegie + 4.896*on campus
+ 5.452*female + 9.382*full-time - .350*age - 2.938*humanities
- .135*math + 4.243*preprofessional - 3.791*multiple -
2.745*Alien –10.524*Asian + 6.357*Black + .938*Latina/o
+ 20.284*Native American - .905*Unknown
Adjusted R2=.66
Predicted Enriching Educational
Experiences =
44.007 + .553*selectivity + 2.556*sector - 1.198*rural
- 1.055*small town + 1.189*large town - .350*fringe1
+ .129*mid-size - 1.971*fringe2 - .336*Extensive - .107*Intensive
+ 3.397*Liberal arts + .651*General - 1.793*Other Carnegie
+ 5.093*on campus + 6.799*female
+ 10.219*full-time - .381*age + .638*humanities - .5.722*math
– 7.917*preprofessional - 4.557*multiple + 9.586*Alien
+ 3.349*Asian + 6.903*Black + 5.804*Latina/o
+ 36.270*Native American + 8.162*Unknown
Adjusted R2=.66 |
Predicted Supportive Campus Environment
=
49.198 + 5.086*sector + 2.598*rural + 3.017*small town
+ 4.188*large town + 1.796*fringe1 + 1.666*mid-size +
1.027*fringe2
- 3.073*Extensive - 2.257*Intensive + .584*Liberal arts
+ .564*General + .418*Other Carnegie + 2.668*on campus
+ 3.449*female + 4.342*full-time + .216*humanities - 4.450*math
- .643*preprofessional - 4.510*multiple - 2.159*Alien
+ .161*Asian - 1.208*Black + 4.857*Latina/o + 15.056*Native
American - 8.693*Unknown
Adjusted R2=.48
Notes:
- Residual models initially contained all independent
variables listed below. Model reduction proceeded
one variable at a time; each iteration removed
the variable associated with the largest p value.
For all but dummied variables with more than
two categories, we removed variables that did
not yield significant coefficients (p<.05
with two-tailed tests). For urbanicity, 2000
Carnegie Classification, major field, and race/ethnicity,
we tested whether all dummy coefficients for
each variable were simultaneously equal to zero.
If Wald tests suggested that we could not reject
the null hypothesis (chi-square, p<.05),
we dropped the variable from the model (with
its attendant dummy variables), and
- As the independent variables were not mean-centered
in any way, model intercepts have no special
interpretation.
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