Table 3.
Confirmatory factor analysis of the first randomly split sample (n = 272, 104 males, 168 females), and for the second randomly split sample (n = 272, 99 males, 173 females).
| *Model number | df | χ2, P | AGFI (adjusted goodness of fit index) | RMSEA (root mean square error of approximation) | NFI | CFI | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sample 1 | Sample 2 | Sample 1 | Sample 2 | Sample 1 | Sample 2 | Sample 1 | Sample 2 | Sample 1 | Sample 2 | ||
| 1 | 35 | 567.502, <0.001 | 618.542, <0.001 | 0.474 | 0.413 | 0.237 | 0.248 | 0.594 | 0.626 | 0.606 | 0.638 |
| 2 | 32 | 253.754, <0.001 | 261.171, <0.001 | 0.722 | 0.729 | 0.160 | 0.163 | 0.818 | 0.842 | 0.836 | 0.858 |
| 3 | 34 | 293.396, <0.001 | 285.960, <0.001 | 0.698 | 0.698 | 0.168 | 0.165 | 0.790 | 0.827 | 0.808 | 0.844 |
| 4 | 34 | 567.499, <0.001 | 616.408, <0.001 | 0.459 | 0 .392 | 0.241 | 0.241 | 0.594 | 0.594 | 0.605 | 0.605 |
| 5 | 34 | 517.911, <0.001 | 573.122, <0.001 | 0.495 | 0.403 | 0.229 | 0.242 | 0.629 | 0.654 | 0.642 | 0.665 |
*1. One factor model (1–10).
2. Three-factor model: Severity of obsessions (items 1,2,3,5), Severity of compulsions (items 6,7,8,10), Resistance to symptoms (items 4,9).
3. Two-factor model: Obsessions (items 1,2,3,4,5), Compulsions (items 6,7,8,9,10). This is the current structure of the Y-BOCS.
4. Two-factor model Disturbance (items 2,3,7,8), Symptom severity (items 1,4,5,6,9,10).
5. Two-factor model Resistance/ control (items 4,5,9,10), Symptom severity (items 1,2,3,6,7,8).