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. Author manuscript; available in PMC: 2015 May 1.
Published in final edited form as: Dev Psychopathol. 2014 Jan 20;26(2):361–378. doi: 10.1017/S0954579413001041

Table 2. Results from the unconditional multivariate latent curve, autoregressive and autoregressive latent curve models.

χ2 (df) CM Δχ2 (df) AIC TLI RMSEA SRMR
BPD Symptoms (Child Report) and Harsh Punishment (Child Report)

1. LCM, full model 74.07 (21)* 42962.70 0.98 0.03 0.03
2. Autoregressive, full model 249.18 (12)* 43155.81 0.82 0.10 0.08
3. ALT, full model 5.52 (5) 42962.16 1 0.01 0.01
4. ALT, nested LCM model 48.12 (17) 3 42.60 (12)* 42944.75 0.98 0.03 0.03
5. ALT + no slope variance on BPD 12.74 (9) 3 7.22 (4) 42925.37 1 0.01 0.02
6. ALT + no slope on BPD 14.81 (11) 5 2.07 (2) 42923.45 1 0.01 0.01
7. ALT-6 + no slope variance on HP-C 37.75 (14)* 6 22.94 (3)*a 42940.38 0.99 0.03 0.05
8. ALT-6 + no slope on HP-C 39.59 (15)* 6 24.78 (4)* 42940.22 0.99 0.03 0.05
9. ALT-7 + no time-specific uniqueness correlations 50.72 (17)* 7 12.97 (3)* 42947.36 0.98 0.03 0.05
10. ALT-7 + fixed time-specific uniqueness correlations 41.79 (16)* 7 4.04 (2) 42940.42 0.99 0.03 0.05
11. ALT-10 + fixed autoregressions for BPD 41.98 (18)* 10 0.19 (2) 42936.61 0.99 0.03 0.05
12. ALT-11 + fixed autoregressions for HP-C 44.86 (20)* 11 2.88 (2) 42935.49 0.99 0.02 0.06
13. ALT-12 + fixed HP-C → BPD regressions 75.05 (22)* 12 30.19 (2)* 42961.68 0.98 0.03 0.06
14. ALT-12 + fixed BPDHP-C regressions 47.26 (22)* 12 2.40 (2) 42933.9 0.99 0.02 0.06

BPD Symptoms (Child Report) and Harsh Punishment (Parent Report)

1. LCM, full model 66.25 (21)* 41739.19 0.98 0.03 0.03
2. Autoregressive, full model 301.88 (12)* 41992.81 0.87 0.9 0.1
3. ALT, full model 7.97 (5) 41712.91 1 0.02 0.03
4. ALT, nested LCM model 56.72 (17)* 3 48.75 (12)* 41737.66 0.98 0.03 0.03
5. ALT + no slope variance on BPD 9.68 (9) 3 1.71 (4) 41706.62 1 0.01 0.02
6. ALT + no slope on BPD 15.73 (11) 5 6.05 (2) 41708.67 1 0.01 0.03
7. ALT-6 + no slope variance on HP-P 23.44 (14) 6 7.71 (3) 41710.38 1 0.02 0.04
8. ALT-6 + no slope on HP-P 37.37 (15)* 6 21.64 (4)* 41722.31 0.99 0.03 0.03
9. ALT-7 + no time-specific uniqueness correlations 26.58 (16) 7 3.14 (3) 41707.51 0.99 0.02 0.03
10. ALT-7 + fixed autoregressions for BPD 28.67 (19) 7 5.23 (5) 41705.60 0.99 0.02 0.03
11. ALT-10 + fixed autoregressions for HP-P 31.07 (21) 9 2.40 (2) 41704.00 1 0.02 0.04
12. ALT-10 + fixed HP-P → BPD regressions 56.66 (23)* 10 25.59 (2)* 41722.60 0.99 0.03 0.04
13. ALT-10 + fixed BPDHP-P regressions 33.00 (23) 11 1.93 (2) 41701.94 1.00 0.01 0.04

BPD Symptoms (Child Report) and Low Warmth (Parent Report)

1. LCM, full model 64.20 (21)* 42639.51 0.99 0.03 0.03
2. Autoregressive, full model 280.65 (12)* 23631.56 0.85 0.1 0.08
3. ALT, full model 4.42 (5) 42611.74 1 0 0.02
4. ALT, nested LCM model 54.29 (17)* 3 49.87 (12)* 42637.61 0.98 0.03 0.03
5. ALT + no slope variance on BPD 8.01 (9) 3 3.59 (4) 42607.00 1 0 0.02
6. ALT + no slope on BPD 9.98 (11) 5 1.97 (2) 42605.29 1 0 0.02
7. ALT-6 + no slope variance on LW 14.01 (14) 6 4.03 (3) 42603.33 1 0 0.03
8. ALT-6 + no slope on LW 45.86 (15)* 6 31.85 (4)* 42633.18 0.99 0.03 0.04
9. ALT-7 + no time-specific uniqueness correlations 52.41 (18)* 7 38.40 (2)* 42633.73 0.99 0.03 0.04
10. ALT-7 + fixed time-specific uniqueness correlations 50.45 (17)* 7 36.44 (2)* 42979.20 0.99 0.03 0.04
11. ALT-7 + fixed autoregressions for BPD 46.42 (17)* 7 32.41 (2)* 42629.73 0.99 0.03 0.04
12. ALT-7 + fixed autoregressions for LW 47.28 (17)* 7 33.27 (2)* 42630.59 0.99 0.03 0.04
13. ALT-7 + fixed LW → BPD regressions 51.52 (17)* 7 37.51 (2)* 42634.84 0.99 0.03 0.05
14. ALT-7 + fixed BPD → LW regressions 55.32 (17)* 7 41.31 (2)* 42638.64 0.98 0.03 0.05

Note: The bold type indicates the final model. BPD, borderline personality disorder symptoms; HP-C, harsh punishment, child report; HP-P, harsh punishment, parent report; LW, low warmth; χ2, chi-square test of model fit; df, degrees of freedom; Δχ2, chi-square difference test; CM, comparison model in the Δχ2; AIC, Akaike information criterion; TLI, Tucker-Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual.

a

Estimation problem (negative variance) occurred in the previous model, so this model was retained.

*

p ≤ .01