Table A1. Bayesian Information Criterion (BIC) Statistics of Models Comparing Veterans to Nonveterans.
χ2 | df | BIC | |
---|---|---|---|
Single group models | |||
1. Separate equations, each outcome | 3,331.09 | 15.00 | 3,210.91 |
2. Two-factor model | 407.05 | 61.00 | −81.66 |
3. MIMIC model | 48.87 | 65.00 | −471.89 |
Multiple group models | |||
4. Multiple group MIMIC model | 129.39 | 159.00 | −1,147.19 |
5. 3+ family interactions | 127.89 | 154.00 | −1,108.54 |
6. 3+ individual characteristics | 119.56 | 153.00 | −1,108.84 |
7. 3+ college graduation interaction | 124.78 | 158.00 | −1,143.77 |
BIC contrasts | |||
Two factor model vs. separate regressions (2–1) | −3,292.58 | ||
MIMIC vs. two-factor model (3–2) | −390.23 | ||
Multiple groups (4–3) | −675.30 | ||
Differences in effect of family background (5–4) | 38.64 | ||
Differences in effect of aspirations (6–4) | 38.34 | ||
Differences in effect of education (7–4) | 3.42 |
Note: MIMIC = multiple indicator multiple cause.