Table 3.
Measure | Items | Factor Loadingsa | RMSEAb | ECVc |
---|---|---|---|---|
HIT-6 scored | 6 | 0.86 – 0.97 | 0.06 | ---e |
PROMISd | ||||
Fatigue | 7 | 0.30f, 0.76 – 0.91 | 0.04 | --- e |
Pain Interference | 8 | 0.95 – 0.98 | 0.09 | 0.96 |
Sleep Disturbance | 8 | 0.84 – 0.92 | 0.08 | 0.86 |
Depression | 8 | 0.90 – 0.96 | 0.05 | 0.96 |
Cognitive Concerns | 8 | 0.90 – 0.96 | 0.07 | 0.98 |
Anger | 5 | 0.88 – 0.92 | 0.06 | 0.96 |
Anxiety | 4 | 0.89 – 0.93 | 0.05 | 0.96 |
Belly Pain | 6 | 0.93 – 0.98 | 0.05 | 0.99 |
Diarrhea | 6 | 0.83 – 0.98 | 0.07 | 0.87 |
Nausea/Vomiting | 4 | 0.66g, 0.84 – 0.96 | 0.05 | --- e |
HCV-PROh | 16 | 0.55i, 0.67j, 0.71 – 0.86 | 0.04 | 0.82 |
Note:
Factor loadings obtained from the unidimensional confirmatory factor analysis. Factor loadings >0.70 support unidimensionality.
RMSEA=Root Mean Square Error Approximation. RMSEA values ≤ 0.06 indicate good fit, values ≤ 0.08 are fair, and values above 0.10 generally reflect poor fit. Statistics were based on full marginal tables. Model-based weight matrix was used.
ECV=Expected Common Variance. ECV represents the variance explained by the general factor in the bifactor model. ECV > 0.90 support unidimensionality.
Higher values of HIT-6 and PROMIS T-scores indicate more severe symptoms.
Unidimensionality was assessed using a one-factor confirmatory factor analysis.
Factor loading of the item: “In the past 7 days, how often did you have enough energy to exercise strenuously?”.
Factor loading of the item: “In the past 7 days, how often did you have a poor appetite?”.
Shown for reference in examining the properties of the HIT-6 and PROMIS scores. Higher values of HCV-PRO score indicate higher functional well-being..
Factor loading of the item: “Having Hepatitis C affected my sex life”.
Factor loading of the item: “Having Hepatitis C was very stressful to me”.