Table 2.
Correlated factors model |
Bifactor model |
||||||||
---|---|---|---|---|---|---|---|---|---|
Item | Unidimensional model | Inhibitory | Prospective | General | Inhibitory | Prospective | h2 | u2 | |
3. Uncertainty keeps me from living a full life. |
.75 | .78 | .72 | .24 | .58 | .42 | |||
6. When it is time to act, uncertainty paralyzes me. |
.84 | .86 | .71 | .55 | .81 | .19 | |||
7. When I am uncertain I can’t function very well. |
.82 | .85 | .70 | .56 | .80 | .20 | |||
10. The smallest doubt can stop me from acting. |
.75 | .77 | .68 | .38 | .61 | .39 | |||
12. I must get away from all uncertain situations. |
.81 | .85 | .80 | .17 | .67 | .33 | |||
1. Unforeseen events upset me greatly. |
.74 | .76 | .77 | −.17 | .59 | .41 | |||
2. It frustrates me not having all the information I need. |
.73 | .75 | .75 | .02 | .56 | .44 | |||
4. One should always look ahead so as to avoid surprises. |
.71 | .73 | .73 | .05 | .53 | .47 | |||
5. A small unforeseen event can spoil everything, even with the best of planning. |
.75 | .77 | .78 | −.12 | .61 | .39 | |||
8. I always want to know what the future has in store for me. |
.67 | .68 | .68 | .07 | .46 | .54 | |||
9. I can’t stand being taken by surprise. | .75 | .77 | .76 | .06 | .58 | .42 | |||
11. I should be able to organize everything in advance. |
.73 | .75 | .75 | .66 | .56 | .44 | |||
WLSMV χ2 | 464.52 | 308.78* | 158.28* | ||||||
df | 54 | 53 | 42 | ||||||
CFI | 0.96 | 0.97 | 0.99 | ||||||
RMSEA [90% CI] | .11 [.10, .12] | .09 [.07, .10] | .06 [.05, .07] | ||||||
WRMR | 1.51 | 1.20 | 0.80 | ||||||
% Total variance (bifactor model) | 47.40 | 6.60 | 5.00 | Error = 41.00 | |||||
% Common variance (bifactor model) | 80.30 | 11.20 | 8.50 | ||||||
Coefficient omega | ωh = .88 | ωs = .20 | ωs = .03 |
Note. N = 663. h2 = communality; u2 = uniqueness; WLSMV = weighted least squares means and variance adjusted χ2; df = degrees of freedom; CFI = robust comparative fit index; RMSEA = root mean square error of approximation; CI = confidence interval; WRMR = weighted root mean square residual; ωh = omega hierarchical; ωs = omega subscale.
Statistically different (p < .001) from previous model. In the correlated factors model, the correlation between the factors was r = 88.