TABLE 6.
Ordered Probit regression results for likelihood of mental health problem
| (1) | (2) | (3) | |
|---|---|---|---|
| All | Male | Female | |
| Personal resilience | |||
| No worry for self | −0.099*** | −0.154** | −0.087*** |
| (0.030) | (0.074) | (0.034) | |
| Family health risk | 0.120*** | 0.108 | 0.112*** |
| (0.031) | (0.072) | (0.035) | |
| Food insecure | 0.155*** | 0.113 | 0.164*** |
| (0.034) | (0.074) | (0.039) | |
| Housing insecure | 0.134*** | 0.180 | 0.120** |
| (0.046) | (0.090) | (0.052) | |
| Grad school | 0.018 | 0.204 | −0.005 |
| (0.067) | (0.161) | (0.074) | |
| Environmental resilience | |||
| Felt connected | −0.306*** | −0.251 | −0.326*** |
| (0.039) | (0.082) | (0.045) | |
| Experienced discrimination | 0.064*** | 0.116*** | 0.045** |
| (0.019) | (0.040) | (0.021) | |
| Online spring Exp. | −0.206*** | −0.247*** | −0.212*** |
| (0.030) | (0.074) | (0.034) | |
| Liberal leaning | 0.206*** | 0.227 | 0.219*** |
| (0.071) | (0.165) | (0.080) | |
| Demographic characteristics | |||
| Female | 0.267*** | — | — |
| (0.079) | |||
| Race—white | −0.043 | 0.260 | −0.104 |
| (0.124) | (0.259) | (0.145) | |
| Race—black | −0.384 | −0.280 | −0.390 |
| (0.254) | (0.566) | (0.287) | |
| Race—Asian | −0.146 | −0.224 | −0.093 |
| (0.147) | (0.355) | (0.165) | |
| Race—American Indian | 0.132 | −0.529 | 0.336 |
| (0.244) | (0.496) | (0.282) | |
| Age | −0.016 | −0.012 | −0.016 |
| (0.011) | (0.020) | (0.013) | |
| Hispanic | 0.037 | 0.050 | 0.079 |
| (0.110) | (0.289) | (0.118) | |
| Living with small children | −0.006 | −0.805 | 0.114 |
| (0.127) | (0.461) | (0.135) | |
| Parental household income | −0.020 | 0.009 | −0.005 |
| (0.113) | (0.026) | (0.012) | |
| Marital status—single | 0.020 | −0.046 | 0.034 |
| (0.113) | (0.206) | (0.131) | |
| International student | −0.346* | −0.546 | −0.314 |
| (0.190) | (0.417) | (0.226) | |
| n | 1616 | 412 | 1204 |
Note: Standard errors are reported in parentheses and are corrected for heteroskedasticity. The coefficients reported are from an ordered probit regression estimation. We control for university fixed effects in the estimation.
p < 0.001.
p < 0.05.
p < 0.1.