Skip to main content
. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: J Pers Assess. 2015 Nov 5;98(2):200–208. doi: 10.1080/00223891.2015.1070355

Table 2.

Standardized factor loadings, confirmatory factor analysis fit statistics of competing models for Intolerance of Uncertainty Scale–12, and variance partitioning based on bifactor model.

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.