Table 3. Inconsistency: Multi-level 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) | ||||
| Sequences (Rank orders) |
0.810** |
0.720, 0.912 | 0.806** |
0.707, 0.918 |
| Standardized time spent on TTO task | 1.081 | 0.957, 1.220 | 1.246** | 1.076, 1.441 |
| Standardized time spent on wheelchair example | 0.855* | 0.755, 0.967 | 0.815* | 0.699, 0.952 |
| 2 (Severe inconsistency) | ||||
| Sex | 1.997** |
1.230, 3.243 | 2.347** |
1.429, 3.855 |
| Sequences (Rank orders) | 0.540** | 0.417, 0.699 | 0.511** | 0.385, 0.678 |
“Sex” is coded “0” for female respondent, and “1” for male respondent.
** Significant at 0.01 level.
* significant at 0.05 level.