Table 4.
Type of constraint | df | BIC | AIC | χ2 | Δχ2 | Δdf | p |
---|---|---|---|---|---|---|---|
Unconstrained | 18 | 7,080.02 | 6,897.32 | 12.27 | |||
Fully constrained | 31 | 7,430.23 | 7,297.20 | 438.15 | 425.88 | 13 | < .001 |
Path a (age to PHQ) only | 19 | 7,075.43 | 6,896.24 | 13.19 | 0.92 | 1 | .338 |
Path b (personal threat to PHQ) only | 19 | 7,080.09 | 6,900.91 | 17.86 | 5.59 | 1 | .018 |
Path c (regional severity to PHQ) only | 19 | 7,081.21 | 6,902.02 | 18.97 | 6.70 | 1 | .010 |
Path d (isolation-days to PHQ) only | 19 | 7,075.43 | 6,896.25 | 13.20 | 0.93 | 1 | .336 |
Path e (isolation-loneliness to PHQ) only | 19 | 7,083.89 | 6,904.70 | 21.65 | 9.38 | 1 | .002 |
Path f (age to FTE) only | 19 | 7,075.04 | 6,895.86 | 12.81 | 0.53 | 1 | .465 |
Partially constrained a | 21 | 7,065.87 | 6,893.71 | 14.66 | |||
Partially constrained + path g (PHQ to FTE) | 22 | 7,060.95 | 6,892.30 | 15.25 | 0.59 | 1 | .442 |
Note: Change values on a given line are relative to the model the line is nested under (e.g., fully constrained vs. unconstrained, path a vs. unconstrained, etc.). The variable “age” refers to chronological age. Significant p values are given in boldface. BIC = Bayesian information criterion; AIC = Akaike information criterion; PHQ = Patient Health Questionnaire; FTE = future time extension.
The partially constrained model allowed the paths from isolation-loneliness to PHQ, regional severity to PHQ, and personal threat to PHQ to vary across age groups while constraining all other paths from the exogenous variables.