Table 4. Interviewer effect on inconsistency: Multinomial logistic model in full dataset, N = 1,296.
| Variables | RRR (unadjusted) | 95% CI | RRR (adjusted) | 95% CI |
|---|---|---|---|---|
| 0 (Reference level: no inconsistency) | Base outcome | Base outcome | ||
| 1 (Slight inconsistency) | ||||
| Interviewer 7 |
3.486** |
1.506, 8.071 |
3.476** |
1.475, 8.191 |
| Interviewer 9 | 2.242* | 1.073, 4.683 | 2.659* | 1.241, 5.696 |
| 2 (Severe inconsistency) | ||||
| Interviewer 7 | 8.054** | 2.205, 29.411 | 7.335** | 1.908, 28.195 |
Dummy variables ‘interviewer’ represent different interviewers, the reference level is ‘interviewer1’ from Shenyang, whose inconsistency level is the median among all interviewers.
** Significant at 0.01 level.
* significant at 0.05 level.