Table 3. Standardized factor loadings and category thresholds for unidimensional model, correlated model with two dimensions, and bifactor model.
Uni (λ) | Correlated (λ) | Bifactor (λ) | Item thresholds | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||
Common | Mood | Behavior | Common | Mood | Behavior | t1 | t2 | t3 | t4 | t5 | t6 | |
Irritable mood (item code/content) | ||||||||||||
m3a | ||||||||||||
Angry? | 0.80 | 0.84 | - | 0.83 | 0.16 | - | -0.28 | 0.59 | 1.15 | 2.05 | - | - |
m3b | ||||||||||||
Touchy? | 0.84 | 0.88 | - | 0.84 | 0.24 | - | -0.08 | 0.46 | 0.84 | 1.74 | - | - |
m3c | ||||||||||||
Grumpy? | 0.79 | 0.82 | - | 0.74 | 0.39 | - | -0.49 | 0.49 | 0.76 | 1.51 | - | - |
m3d | ||||||||||||
Cranky? | 0.83 | 0.86 | - | 0.80 | 0.33 | - | -0.24 | 0.51 | 0.86 | 1.42 | - | - |
m3e | ||||||||||||
Annoyed? | 0.87 | 0.88 | - | 0.66 | 0.66 | - | -0.76 | 0.17 | 0.56 | 1.27 | - | - |
m3f | ||||||||||||
Frustrated? | 0.87 | 0.89 | - | 0.68 | 0.62 | - | -0.45 | 0.31 | 0.58 | 1.32 | - | - |
m3g | ||||||||||||
Resentful? | 0.85 | 0.87 | - | 0.68 | 0.59 | - | -0.32 | 0.32 | 0.75 | 1.4 | - | - |
m3h | ||||||||||||
Surly? | 0.85 | 0.88 | - | 0.84 | 0.27 | - | 0 | 0.67 | 1.07 | 1.74 | - | - |
m3i | ||||||||||||
Irritable? | 0.89 | 0.91 | - | 0.85 | 0.36 | - | -0.3 | 0.4 | 0.79 | 1.30 | - | - |
m3j | ||||||||||||
Short-tempered? | 0.87 | 0.91 | - | 0.90 | 0.17 | - | -0.09 | 0.49 | 0.80 | 1.32 | - | - |
Disruptive behavior (item code/content) | ||||||||||||
t2a | ||||||||||||
Shouted? | 0.73 | - | 0.79 | 0.69 | - | 0.36 | -0.28 | 0.59 | 1.15 | 2.05 | - | - |
t2b | ||||||||||||
Took your anger out on objects? | 0.71 | - | 0.76 | 0.61 | - | 0.47 | 0.50 | 1.19 | 1.70 | 2.05 | 2.25 | - |
t2c | ||||||||||||
Threatened violence toward others? | 0.84 | - | 0.87 | 0.67 | - | 0.59 | 0.72 | 1.40 | 2.05 | 2.25 | 2.40 | - |
t2d | ||||||||||||
Threw things at someone? | 0.72 | - | 0.76 | 0.59 | - | 0.51 | 1.11 | 1.48 | 2.14 | 2.40 | - | - |
t2e | ||||||||||||
Cursed or swore aloud? | 0.75 | - | 0.80 | 0.75 | - | 0.24 | -0.03 | 0.75 | 1.40 | 1.74 | 1.97 | - |
t2f | ||||||||||||
Kicked furniture, walls or doors? | 0.86 | - | 0.89 | 0.69 | - | 0.59 | 0.77 | 1.32 | 1.97 | 2.40 | 2.65 | - |
t2g | ||||||||||||
Intimidated someone? | 0.77 | - | 0.80 | 0.65 | - | 0.49 | 0.83 | 1.58 | 2.14 | 2.40 | 2.65 | - |
t2h | ||||||||||||
Slammed doors? | 0.83 | - | 0.87 | 0.75 | - | 0.44 | 0.49 | 1.17 | 1.62 | 2.40 | 2.65 | - |
t2i | ||||||||||||
Pushed someone? | 0.84 | - | 0.88 | 0.68 | - | 0.57 | 1.03 | 1.62 | 2.05 | 2.65 | - | - |
t2j | ||||||||||||
Verbally insulted someone? | 0.81 | - | 0.85 | 0.78 | - | 0.32 | 0.35 | 1.15 | 1.79 | 1.97 | 2.05 | - |
t2k | ||||||||||||
Broke objects (e.g., TV, cell phone)? | 0.72 | - | 0.77 | 0.64 | - | 0.44 | 1.13 | 1.84 | 2.40 | - | - | - |
t2l | ||||||||||||
Got involved in fights causing mild injury? | 0.76 | - | 0.81 | 0.41 | - | 0.89 | 1.37 | 1.97 | - | - | - | - |
t2m | ||||||||||||
Smashed windows? | 0.78 | - | 0.82 | 0.72 | - | 0.39 | 0.79 | 1.51 | 2.05 | - | - | - |
t2n | ||||||||||||
Hit or injured animals? | 0.67 | - | 0.71 | 0.53 | - | 0.50 | 1.23 | 1.84 | 2.40 | - | - | - |
t2o | ||||||||||||
Got involved in fights causing serious injury? | 0.48 | - | 0.57 | 0.21 | - | 0.94 | 1.97 | 2.65 | - | - | - | - |
t2p | ||||||||||||
Scratched or pulled other person’s hair? | 0.84 | - | 0.87 | 0.64 | - | 0.60 | 1.32 | 1.84 | 2.40 | - | - | - |
t2q | ||||||||||||
Yelled at someone? | 0.79 | - | 0.83 | 0.74 | - | 0.35 | -0.06 | 0.86 | 1.23 | 1.51 | 1.75 | - |
Model fit | ||||||||||||
RMSEA | 0.146 | 0.077 | 0.041 | |||||||||
RMSEA 90%CI | 0.14-0.15 | 0.071-0.083 | 0.033-0.050 | |||||||||
CFI | 0.96 | 0.99 | 0.997 | |||||||||
TLI | 0.95 | 0.99 | 0.996 | |||||||||
Reliability | ||||||||||||
ω (Raykov) | 0.96 | 0.94 | 0.95 | 0.95 | 0.90 | 0.93 | ||||||
ωH | 0.61 | |||||||||||
ωS | 0.45 | 0.42 |
90%CI = 90% confidence interval; λ = factor loadings; ω = omega coefficient; ωH = omega hierarchical; ωS = omega subscale; Bi = bidimensional; CFI = comparative fit index; RMSEA = root mean square error of approximation; TLI = Tucker-Lewis index; Uni = unidimensional.
Thresholds represent the amount of factor loading z-score needed for a person be more likely to endorse the next response category (from never to rarely, for example) than the previous one.
Sample recruited from outpatient psychiatry services at the Hospital de Clínicas de Porto Alegre (n = 246).