Table 2.
Regression model with SES†
| Parameter | Estimate | Standard error | Pr>|t| |
|---|---|---|---|
| Age category | 0.999 | ||
| 60 and older vs. 40 vs. less than 60 | 0.007 | 0.144 | 0.959 |
| Less than 40 vs. 40 vs. less than 60 | 0.001 | 0.161 | 0.993 |
| Schooling completed | 0.006** | ||
| Associate’s degree vs. high school graduate (GED or less) | −0.388 | 0.369 | 0.295 |
| Bachelor degree vs. high school graduate (GED or less) | −0.850 | 0.321 | 0.009** |
| Graduate degree vs. high school graduate (GED or less) | −1.042 | 0.328 | 0.002*** |
| Some college or technical school vs. high school graduate (GED or less) | −0.831 | 0.346 | 0.018* |
| Sex | 0.834 | ||
| Female vs. male | −0.026 | 0.126 | |
| Series | 0.207 | ||
| GSC vs. HSC | 0.163 | 0.129 | |
| First time | 0.143 | ||
| Yes vs. no | 0.193 | 0.131 | |
| SES | 0.007** | ||
| High vs. low | 0.473 | 0.165 | 0.005*** |
| Medium vs. low | 0.557 | 0.195 | 0.005*** |
†
SES and education are weakly correlated (Spearman ρ=0.25, p<0.001).
*p<0.05, **p<0.01, ***p<0.005.