Table 1.
Case-Control Logistic Regression Predicting a Confiding Relationship based on GSS Ego Network Data, 1985 and 2004
| Variables | Model 1 | Model 2 |
|---|---|---|
| Intercept | −14.456*** | −14.519*** |
| (.048) | (.057) | |
| Different Race | −1.819*** | −1.959*** |
| (.077) | (.117) | |
| Different Religion | −1.362*** | −1.27*** |
| (.044) | (.060) | |
| Different Sex | −.317*** | −.373*** |
| (.025) | (.033) | |
| Education Difference | −.049*** | −.047*** |
| (.002) | (.002) | |
| Age Difference | −.173*** | −.157*** |
| (.009) | (.012) | |
| Different Race | .264 | |
| (.155) | ||
| Different Religion | −.215* | |
| (.092) | ||
| Different Sex | .144** | |
| (.05) | ||
| Education Difference | −.005 | |
| (.003) | ||
| Age Difference | −.044* | |
| (.020) | ||
| Year | −.179*** | −.052 |
| (.047) | (.089) | |
| N (respondents) | 3001 | 3001 |
| N (dyads) | 1139161 | 1139161 |
Note: Standard errors in parentheses.
The standard errors are calculated using bootstrap estimates. The standard errors are equal to the standard deviation of the coefficients across 1000 iterations and are thus not dependent on the number of dyads. For each iteration, we take a random sample of respondents from each year and rerun the case control logistic regression.