Table 1.
Model 1
|
Model 2
|
Model 3
|
|||||||
---|---|---|---|---|---|---|---|---|---|
(Pain ← Emotion +Fatigue)
|
(Fatigue ← Emotion +Pain)
|
(Emotion ←Pain +Fatigue)
|
|||||||
β | SE | P-value | β | SE | P-value | β | SE | P-value | |
Emotion | −0.021 | 0.011 | 0.063 | −0.233 | 0.014 | <0.001 | – | – | – |
Fatigue | 0.250 | 0.009 | <0.001 | – | – | – | −0.150 | 0.009 | <0.001 |
Pain | – | – | – | 0.398 | 0.014 | <0.001 | −0.022 | 0.012 | 0.063 |
Log-likelihood | −15,408.1 | −15,536.2 | −17,162.2 | ||||||
AIC | 30,830.2 | 31,086.3 | 34,338.5 | ||||||
BIC | 30,878.7 | 31,134.8 |
Abbreviations: AIC, Akaike information criterion; BIC, Bayesian information criterion; SE, standard error.