Table 2
Regression Models for the Determinants
Of Variation in Teaching Experience For Principals
Variable |
Model I |
Model II |
Model III |
Constant |
0.313 |
1.496* |
-1.163* |
(0.499) |
(0.418) |
(0.519) | |
Metropolitan Area Characteristics Population |
-0.126* |
-0.113* |
-0.060 |
(0.047) |
(0.050) |
(0.047) | |
Population Density |
0.059 |
0.065 |
0.002 |
(0.050) |
(0.051) |
(0.045) | |
Percent Advanced Degree |
0.119** |
0.116** |
0.058 |
(0.061) |
(0.066) |
(0.062) | |
Number of Districts |
0.004 |
-0.010 |
0.017 |
(0.022) |
(0.023) |
(0.020) | |
School District Characteristics | |||
District Size |
0.133* |
0.126* |
0.102* |
(0.039) |
(0.045) |
(0.041) | |
Percent Nonwhite Students |
0.010 |
0.027 |
-0.005 |
(0.028) |
(0.031) |
(0.027) | |
Mean Teaching Experience |
0.482* |
0.291* | |
(0.106) |
(0.106) | ||
State Fixed Effects_________________ |
No |
No |
Yes |
Observations |
197 |
197 |
191 |
R-Square |
0.2543 |
0.1338 |
0.1223 |
Adjusted R-Square |
0.2267 |
0.1064 |
0.0887 |
F-Statistic____________________________ |
9.21_________ |
_________4.89_________ |
________3.64________ |
*Significant at the 5% level; ** Significant at 10% level. Standard errors are heteroskedasticity-
consistent.
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