Acta Psychologica Sinica ›› 2022, Vol. 54 ›› Issue (7): 813-827.doi: 10.3724/SP.J.1041.2022.00813
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DUAN Wenting1, SUN Qiwu1, WANG Ming2(), WU Caizhi1, CHEN Zhenzhen1
Received:
2021-03-23
Published:
2022-07-25
Online:
2022-05-19
Contact:
WANG Ming
E-mail:danielwm@whut.edu.cn
Supported by:
DUAN Wenting, SUN Qiwu, WANG Ming, WU Caizhi, CHEN Zhenzhen. (2022). The developmental cascades of prosocial behavior tendency, internalizing and externalizing problems for early adolescence in China: A within-person analysis. Acta Psychologica Sinica, 54(7), 813-827.
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URL: https://journal.psych.ac.cn/acps/EN/10.3724/SP.J.1041.2022.00813
Variables | Model | χ² | df | CFI | SRMR | RMSEA | Model comparison | Δχ² | Δdf | p | ΔCFI | ΔRMSEA |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Prosocial tendencies | M1: configural equivalence | 478.02 | 114 | 0.964 | 0.032 | 0.060 | ||||||
M2: weak equivalence | 490.82 | 124 | 0.963 | 0.036 | 0.058 | M2-M1 | 12.80 | 10 | >0.05 | -0.001 | -0.002 | |
M3: strong equivalence | 562.06 | 134 | 0.957 | 0.035 | 0.060 | M3-M2 | 71.24 | 10 | <0.05 | -0.006 | 0.002 | |
M4: strict equivalence | 618.75 | 146 | 0.953 | 0.045 | 0.060 | M4-M3 | 56.69 | 12 | <0.05 | -0.004 | 0.000 | |
Internalizing problem | M1: configural equivalence | 29.72 | 15 | 0.998 | 0.014 | 0.028 | ||||||
M2: weak equivalence | 34.60 | 19 | 0.998 | 0.016 | 0.026 | M2-M1 | 4.88 | 4 | >0.05 | 0.000 | -0.002 | |
M3: strong equivalence | 65.90 | 23 | 0.994 | 0.019 | 0.039 | M3-M2 | 31.3 | 4 | <0.05 | -0.004 | 0.013 | |
M3.1: Strong equivalence a | 36.59 | 21 | 0.998 | 0.017 | 0.024 | M3.1-M2 | 1.99 | 2 | >0.05 | 0.000 | -0.002 | |
Externalizing problem | M1: configural equivalence | 224.09 | 72 | 0.985 | 0.022 | 0.041 | ||||||
M2: weak equivalence | 240.39 | 80 | 0.984 | 0.027 | 0.040 | M2-M1 | 16.3 | 8 | <0.05 | -0.001 | -0.001 | |
M3: strong equivalence | 313.15 | 88 | 0.978 | 0.032 | 0.045 | M3-M2 | 72.76 | 8 | <0.05 | -0.006 | 0.005 | |
M4: strict equivalence | 348.34 | 98 | 0.975 | 0.031 | 0.045 | M4-M3 | 35.19 | 10 | <0.05 | -0.003 | 0.000 |
Table 1 Measurement equivalence test on longitudinal measurement of prosocial behavior tendency, internalizing problems and externalizing problems
Variables | Model | χ² | df | CFI | SRMR | RMSEA | Model comparison | Δχ² | Δdf | p | ΔCFI | ΔRMSEA |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Prosocial tendencies | M1: configural equivalence | 478.02 | 114 | 0.964 | 0.032 | 0.060 | ||||||
M2: weak equivalence | 490.82 | 124 | 0.963 | 0.036 | 0.058 | M2-M1 | 12.80 | 10 | >0.05 | -0.001 | -0.002 | |
M3: strong equivalence | 562.06 | 134 | 0.957 | 0.035 | 0.060 | M3-M2 | 71.24 | 10 | <0.05 | -0.006 | 0.002 | |
M4: strict equivalence | 618.75 | 146 | 0.953 | 0.045 | 0.060 | M4-M3 | 56.69 | 12 | <0.05 | -0.004 | 0.000 | |
Internalizing problem | M1: configural equivalence | 29.72 | 15 | 0.998 | 0.014 | 0.028 | ||||||
M2: weak equivalence | 34.60 | 19 | 0.998 | 0.016 | 0.026 | M2-M1 | 4.88 | 4 | >0.05 | 0.000 | -0.002 | |
M3: strong equivalence | 65.90 | 23 | 0.994 | 0.019 | 0.039 | M3-M2 | 31.3 | 4 | <0.05 | -0.004 | 0.013 | |
M3.1: Strong equivalence a | 36.59 | 21 | 0.998 | 0.017 | 0.024 | M3.1-M2 | 1.99 | 2 | >0.05 | 0.000 | -0.002 | |
Externalizing problem | M1: configural equivalence | 224.09 | 72 | 0.985 | 0.022 | 0.041 | ||||||
M2: weak equivalence | 240.39 | 80 | 0.984 | 0.027 | 0.040 | M2-M1 | 16.3 | 8 | <0.05 | -0.001 | -0.001 | |
M3: strong equivalence | 313.15 | 88 | 0.978 | 0.032 | 0.045 | M3-M2 | 72.76 | 8 | <0.05 | -0.006 | 0.005 | |
M4: strict equivalence | 348.34 | 98 | 0.975 | 0.031 | 0.045 | M4-M3 | 35.19 | 10 | <0.05 | -0.003 | 0.000 |
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | M | SD |
---|---|---|---|---|---|---|---|---|---|---|
1 internalizing problems T1 | - | 0.77 | 0.56 | |||||||
2 internalizing problems T2 | 0.45 a | - | 0.78 | 0.60 | ||||||
3 internalizing problems T3 | 0.38 | 0.59 | - | 0.76 | 0.61 | |||||
4 externalizing problemsT1 | 0.66 | 0.40 | 0.30 | - | 2.26 | 0.66 | ||||
5 externalizing problemsT2 | 0.33 | 0.68 | 0.41 | 0.47 | - | 2.36 | 0.69 | |||
6 externalizing problemsT3 | 0.36 | 0.48 | 0.67 | 0.44 | 0.56 | - | 2.30 | 0.65 | ||
7 Prosocial Behavior Tendency T1 | -0.11 | -0.07 | -0.05 | -0.09 | -0.02 | -0.04 | - | 3.62 | 0.67 | |
8 prosocial behavior tendency T2 | -0.09 | -0.15 | -0.12 | -0.11 | -0.14 | -0.11 | 0.41 | - | 3.68 | 0.68 |
9 prosocial behavior tendency T3 | -0.08 | -0.10 | -0.22 | -0.06 | -0.08 | -0.11 | 0.29 | 0.43 | 3.65 | 0.68 |
Table 2 The mean, standard deviation and Pearson correlation of prosocial behavior tendency, internalizing problems and externalizing problems
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | M | SD |
---|---|---|---|---|---|---|---|---|---|---|
1 internalizing problems T1 | - | 0.77 | 0.56 | |||||||
2 internalizing problems T2 | 0.45 a | - | 0.78 | 0.60 | ||||||
3 internalizing problems T3 | 0.38 | 0.59 | - | 0.76 | 0.61 | |||||
4 externalizing problemsT1 | 0.66 | 0.40 | 0.30 | - | 2.26 | 0.66 | ||||
5 externalizing problemsT2 | 0.33 | 0.68 | 0.41 | 0.47 | - | 2.36 | 0.69 | |||
6 externalizing problemsT3 | 0.36 | 0.48 | 0.67 | 0.44 | 0.56 | - | 2.30 | 0.65 | ||
7 Prosocial Behavior Tendency T1 | -0.11 | -0.07 | -0.05 | -0.09 | -0.02 | -0.04 | - | 3.62 | 0.67 | |
8 prosocial behavior tendency T2 | -0.09 | -0.15 | -0.12 | -0.11 | -0.14 | -0.11 | 0.41 | - | 3.68 | 0.68 |
9 prosocial behavior tendency T3 | -0.08 | -0.10 | -0.22 | -0.06 | -0.08 | -0.11 | 0.29 | 0.43 | 3.65 | 0.68 |
Effect | CLPM | RI-CLPM | GCLM | ||||||
---|---|---|---|---|---|---|---|---|---|
β | SE | p | β | SE | p | β | SE | p | |
Autoregressive effect | at the within-person level | ||||||||
PSO1→PSO2 | 0.41 | 0.03 | <0.001 | 0.21 | 0.07 | 0.002 | 0.11 | 0.03 | <0.001 |
PSO2→PSO3 | 0.42 | 0.04 | <0.001 | 0.23 | 0.07 | 0.002 | 0.07 | 0.03 | 0.008 |
EXT1→EXT2 | 0.45 | 0.04 | <0.001 | 0.13 | 0.08 | 0.09 | 0.12 | 0.05 | 0.007 |
EXT2→EXT3 | 0.44 | 0.04 | <0.001 | 0.14 | 0.07 | 0.036 | 0.08 | 0.05 | 0.089 |
INT1→INT2 | 0.33 | 0.05 | <0.001 | 0.04 | 0.10 | 0.669 | 0.11 | 0.06 | 0.074 |
INT2→INT3 | 0.56 | 0.04 | <0.001 | 0.38 | 0.07 | <0.001 | 0.31 | 0.07 | <0.001 |
Cross-lagged effect | |||||||||
INT1→EXT2 | 0.04 | 0.04 | 0.392 | -0.07 | 0.08 | 0.404 | -0.02 | 0.05 | 0.651 |
PSO1→EXT2 | 0.01 | 0.03 | 0.660 | 0.002 | 0.06 | 0.974 | -0.05 | 0.02 | 0.057 |
INT2→EXT3 | 0.18 | 0.04 | <0.001 | 0.16 | 0.07 | 0.017 | 0.09 | 0.05 | 0.079 |
PSO2→EXT3 | -0.02 | 0.03 | 0.651 | -0.06 | 0.05 | 0.302 | -0.06 | 0.03 | 0.015 |
EXT1→INT2 | 0.18 | 0.05 | <0.001 | 0.12 | 0.08 | 0.117 | 0.06 | 0.05 | 0.214 |
PSO1→INT2 | -0.03 | 0.04 | 0.497 | -0.02 | 0.07 | 0.726 | -0.07 | 0.02 | 0.004 |
EXT2→INT3 | 0.03 | 0.04 | 0.458 | -0.03 | 0.05 | 0.554 | -0.07 | 0.05 | 0.158 |
PSO2→INT3 | -0.03 | 0.03 | 0.363 | -0.05 | 0.05 | 0.318 | -0.03 | 0.02 | 0.143 |
EXT1→PSO2 | -0.07 | 0.05 | 0.119 | -0.12 | 0.07 | 0.092 | -0.15 | 0.05 | 0.008 |
EXT2→PSO3 | 0.002 | 0.04 | 0.957 | -0.03 | 0.06 | 0.639 | -0.09 | 0.05 | 0.081 |
INT1→PSO2 | 0.007 | 0.04 | 0.880 | 0.04 | 0.07 | 0.569 | 0.04 | 0.05 | 0.499 |
INT2→PSO3 | -0.04 | 0.05 | 0.441 | -0.009 | 0.08 | 0.899 | -0.001 | 0.05 | 0.979 |
Covariant correlation effect | |||||||||
INT1↔EXT1 | 0.66 | 0.03 | <0.001 | 0.55 | 0.06 | <0.001 | 0.58 | 0.05 | <0.001 |
INT1↔PSO1 | -0.11 | 0.04 | 0.003 | -0.09 | 0.07 | 0.194 | -0.13 | 0.05 | 0.014 |
EXT1↔PSO1 | -0.09 | 0.04 | 0.021 | -0.08 | 0.06 | 0.177 | -0.14 | 0.05 | 0.005 |
INT2↔EXT2 | 0.61 | 0.03 | <0.001 | 0.58 | 0.05 | <0.001 | 0.56 | 0.05 | <0.001 |
INT2↔PSO2 | -0.12 | 0.04 | 0.007 | -0.12 | 0.06 | 0.050 | -0.13 | 0.06 | 0.04 |
EXT2↔PSO2 | -0.12 | 0.04 | 0.002 | -0.14 | 0.06 | 0.025 | -0.18 | 0.06 | 0.002 |
INT3↔EXT3 | 0.58 | 0.03 | <0.001 | 0.57 | 0.04 | <0.001 | 0.53 | 0.04 | <0.001 |
INT3↔PSO3 | -0.19 | 0.04 | <0.001 | -0.22 | 0.05 | <0.001 | -0.22 | 0.06 | <0.001 |
EXT3↔PSO3 | -0.07 | 0.04 | 0.095 | -0.09 | 0.05 | 0.074 | -0.07 | 0.05 | 0.147 |
at the between-person level | |||||||||
INT↔EXT | 0.80 | 0.04 | <0.001 | 0.80 | 0.05 | <0.001 | |||
INT↔PSO | -0.18 | 0.13 | 0.146 | -0.06 | 0.09 | 0.559 | |||
EXT↔PSO | -0.11 | 0.11 | 0.314 | 0.05 | 0.09 | 0.595 |
Table 3 Estimation of main parameters of CLPM, RI-CLPM and GCLM
Effect | CLPM | RI-CLPM | GCLM | ||||||
---|---|---|---|---|---|---|---|---|---|
β | SE | p | β | SE | p | β | SE | p | |
Autoregressive effect | at the within-person level | ||||||||
PSO1→PSO2 | 0.41 | 0.03 | <0.001 | 0.21 | 0.07 | 0.002 | 0.11 | 0.03 | <0.001 |
PSO2→PSO3 | 0.42 | 0.04 | <0.001 | 0.23 | 0.07 | 0.002 | 0.07 | 0.03 | 0.008 |
EXT1→EXT2 | 0.45 | 0.04 | <0.001 | 0.13 | 0.08 | 0.09 | 0.12 | 0.05 | 0.007 |
EXT2→EXT3 | 0.44 | 0.04 | <0.001 | 0.14 | 0.07 | 0.036 | 0.08 | 0.05 | 0.089 |
INT1→INT2 | 0.33 | 0.05 | <0.001 | 0.04 | 0.10 | 0.669 | 0.11 | 0.06 | 0.074 |
INT2→INT3 | 0.56 | 0.04 | <0.001 | 0.38 | 0.07 | <0.001 | 0.31 | 0.07 | <0.001 |
Cross-lagged effect | |||||||||
INT1→EXT2 | 0.04 | 0.04 | 0.392 | -0.07 | 0.08 | 0.404 | -0.02 | 0.05 | 0.651 |
PSO1→EXT2 | 0.01 | 0.03 | 0.660 | 0.002 | 0.06 | 0.974 | -0.05 | 0.02 | 0.057 |
INT2→EXT3 | 0.18 | 0.04 | <0.001 | 0.16 | 0.07 | 0.017 | 0.09 | 0.05 | 0.079 |
PSO2→EXT3 | -0.02 | 0.03 | 0.651 | -0.06 | 0.05 | 0.302 | -0.06 | 0.03 | 0.015 |
EXT1→INT2 | 0.18 | 0.05 | <0.001 | 0.12 | 0.08 | 0.117 | 0.06 | 0.05 | 0.214 |
PSO1→INT2 | -0.03 | 0.04 | 0.497 | -0.02 | 0.07 | 0.726 | -0.07 | 0.02 | 0.004 |
EXT2→INT3 | 0.03 | 0.04 | 0.458 | -0.03 | 0.05 | 0.554 | -0.07 | 0.05 | 0.158 |
PSO2→INT3 | -0.03 | 0.03 | 0.363 | -0.05 | 0.05 | 0.318 | -0.03 | 0.02 | 0.143 |
EXT1→PSO2 | -0.07 | 0.05 | 0.119 | -0.12 | 0.07 | 0.092 | -0.15 | 0.05 | 0.008 |
EXT2→PSO3 | 0.002 | 0.04 | 0.957 | -0.03 | 0.06 | 0.639 | -0.09 | 0.05 | 0.081 |
INT1→PSO2 | 0.007 | 0.04 | 0.880 | 0.04 | 0.07 | 0.569 | 0.04 | 0.05 | 0.499 |
INT2→PSO3 | -0.04 | 0.05 | 0.441 | -0.009 | 0.08 | 0.899 | -0.001 | 0.05 | 0.979 |
Covariant correlation effect | |||||||||
INT1↔EXT1 | 0.66 | 0.03 | <0.001 | 0.55 | 0.06 | <0.001 | 0.58 | 0.05 | <0.001 |
INT1↔PSO1 | -0.11 | 0.04 | 0.003 | -0.09 | 0.07 | 0.194 | -0.13 | 0.05 | 0.014 |
EXT1↔PSO1 | -0.09 | 0.04 | 0.021 | -0.08 | 0.06 | 0.177 | -0.14 | 0.05 | 0.005 |
INT2↔EXT2 | 0.61 | 0.03 | <0.001 | 0.58 | 0.05 | <0.001 | 0.56 | 0.05 | <0.001 |
INT2↔PSO2 | -0.12 | 0.04 | 0.007 | -0.12 | 0.06 | 0.050 | -0.13 | 0.06 | 0.04 |
EXT2↔PSO2 | -0.12 | 0.04 | 0.002 | -0.14 | 0.06 | 0.025 | -0.18 | 0.06 | 0.002 |
INT3↔EXT3 | 0.58 | 0.03 | <0.001 | 0.57 | 0.04 | <0.001 | 0.53 | 0.04 | <0.001 |
INT3↔PSO3 | -0.19 | 0.04 | <0.001 | -0.22 | 0.05 | <0.001 | -0.22 | 0.06 | <0.001 |
EXT3↔PSO3 | -0.07 | 0.04 | 0.095 | -0.09 | 0.05 | 0.074 | -0.07 | 0.05 | 0.147 |
at the between-person level | |||||||||
INT↔EXT | 0.80 | 0.04 | <0.001 | 0.80 | 0.05 | <0.001 | |||
INT↔PSO | -0.18 | 0.13 | 0.146 | -0.06 | 0.09 | 0.559 | |||
EXT↔PSO | -0.11 | 0.11 | 0.314 | 0.05 | 0.09 | 0.595 |
Cross-lagged effect | 1. public | 2. anonymous | 3. compliant | ||||||
---|---|---|---|---|---|---|---|---|---|
β | SE | p | β | SE | p | β | SE | p | |
PSO1→EXT2 | -0.03 | 0.03 | 0.371 | -0.01 | 0.03 | 0.625 | -0.04 | 0.02 | 0.074 |
PSO2→EXT3 | -0.06 | 0.03 | 0.033 | -0.04 | 0.03 | 0.119 | -0.06 | 0.02 | 0.009 |
PSO1→INT2 | -0.09 | 0.03 | 0.001 | -0.06 | 0.03 | 0.024 | -0.08 | 0.02 | <0.001 |
PSO2→INT3 | -0.08 | 0.03 | 0.002 | -0.05 | 0.03 | 0.049 | -0.07 | 0.02 | 0.003 |
4. Emotional | 5. emergent | 6. altruistic | |||||||
β | SE | p | β | SE | p | β | SE | p | |
PSO1→EXT2 | -0.03 | 0.02 | 0.205 | -0.01 | 0.02 | 0.627 | -0.04 | 0.03 | 0.147 |
PSO2→EXT3 | -0.06 | 0.03 | 0.020 | -0.05 | 0.02 | 0.052 | -0.06 | 0.03 | 0.027 |
PSO1→INT2 | -0.06 | 0.01 | 0.016 | -0.06 | 0.02 | 0.012 | -0.07 | 0.02 | 0.002 |
PSO2→INT3 | -0.06 | 0.02 | 0.008 | -0.05 | 0.02 | 0.024 | -0.05 | 0.02 | 0.033 |
Table 4 Cross-lagged effect of six factors of prosocial behavior tendency estimated in GCLM at the within-person level
Cross-lagged effect | 1. public | 2. anonymous | 3. compliant | ||||||
---|---|---|---|---|---|---|---|---|---|
β | SE | p | β | SE | p | β | SE | p | |
PSO1→EXT2 | -0.03 | 0.03 | 0.371 | -0.01 | 0.03 | 0.625 | -0.04 | 0.02 | 0.074 |
PSO2→EXT3 | -0.06 | 0.03 | 0.033 | -0.04 | 0.03 | 0.119 | -0.06 | 0.02 | 0.009 |
PSO1→INT2 | -0.09 | 0.03 | 0.001 | -0.06 | 0.03 | 0.024 | -0.08 | 0.02 | <0.001 |
PSO2→INT3 | -0.08 | 0.03 | 0.002 | -0.05 | 0.03 | 0.049 | -0.07 | 0.02 | 0.003 |
4. Emotional | 5. emergent | 6. altruistic | |||||||
β | SE | p | β | SE | p | β | SE | p | |
PSO1→EXT2 | -0.03 | 0.02 | 0.205 | -0.01 | 0.02 | 0.627 | -0.04 | 0.03 | 0.147 |
PSO2→EXT3 | -0.06 | 0.03 | 0.020 | -0.05 | 0.02 | 0.052 | -0.06 | 0.03 | 0.027 |
PSO1→INT2 | -0.06 | 0.01 | 0.016 | -0.06 | 0.02 | 0.012 | -0.07 | 0.02 | 0.002 |
PSO2→INT3 | -0.06 | 0.02 | 0.008 | -0.05 | 0.02 | 0.024 | -0.05 | 0.02 | 0.033 |
[1] | Allison, P. D., Williams, R., & Moral-Benito, E. (2017). Maximum likelihood for cross-lagged panel models with fixed effects. Socius, 3, 1-17. https://doi.org/10.1177/2378023117710578 |
[2] | Asparouhov, T., Muthén, B., & Muthén, B. O. (2006). Robust chi square difference testing with mean and variance adjusted test statistics. Matrix, 1(5), 1-6. |
[3] |
Berry, D., & Willoughby, M. T. (2017). On the practical interpretability of cross-lagged panel models: Rethinking a developmental workhorse. Child Development, 88(4), 1186-1206. https://doi.org/10.1111/cdev.12660
doi: 10.1111/cdev.12660 URL |
[4] |
Burke, J. D., Loeber, R., Lahey, B. B., & Rathouz, P. J. (2005). Developmental transitions among affective and behavioral disorders in adolescent boys. Journal of Child Psychology and Psychiatry, 46(11), 1200-1210. https://doi.org/10.1111/j.1469-7610.2005.00422
doi: 10.1111/j.1469-7610.2005.00422.x URL |
[5] |
Carlo, G., & Randall, B. A. (2002). The development of a measure of prosocial behaviors for late adolescents. Journal of Youth and Adolescence, 31(1), 31-44. https://doi.org/10.1023/A:1014033032440
doi: 10.1023/A:1014033032440 URL |
[6] |
Carlson, G. A., & Cantwell, D. P. (1980). Unmasking masked depression in children and adolescents. The American Journal of Psychiatry, 137(4), 445-449. https://doi.org/10.1176/ajp.137.4.445
doi: 10.1176/ajp.137.4.445 URL |
[7] | Cassidy, J., & Shaver, P. R. (2016). Handbook of attachment: Theory, research, and clinical applications (Third Edition). New York: The Guilford Press. |
[8] |
Chen, B.-B., Qu, Y., & Chen, X. (2021). Chinese parents' comparisons of siblings and adolescents' internalizing and externalizing problems. Development and Psychopathology, 33(3), 914-921. https://doi.org/10.1017/S095457942000022X
doi: 10.1017/S095457942000022X URL |
[9] |
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464-504. https://doi.org/10.1080/10705510701301834
doi: 10.1080/10705510701301834 URL |
[10] |
Chen, J., Yu, J., Zhang, J., Li, X., & McGue, M. (2015). Investigating genetic and environmental contributions to adolescent externalizing behavior in a collectivistic culture: A multi-informant twin study. Psychological Medicine, 45(9), 1989-1997. https://doi.org/10.1017/S0033291714003109
doi: 10.1017/S0033291714003109 URL pmid: 25572795 |
[11] |
Cicchetti, D., & Toth, S. L. (1998). The development of depression in children and adolescents. American Psychologist, 53(2), 221-241. https://doi.org/10.1037/0003-066X.53.2.221
URL pmid: 9491749 |
[12] |
Cohen, J. R., Andrews, A. R., Davis, M. M., & Rudolph, K. D. (2018). Anxiety and depression during childhood and adolescence: Testing theoretical models of continuity and discontinuity. Journal of Abnormal Child Psychology, 46(6), 1295-1308. https://doi.org/10.1007/s10802-017-0370-x
doi: 10.1007/s10802-017-0370-x URL |
[13] | Crittenden, P. M., & Landini, A. (2011). Assessing adult attachment: A dynamic-maturational approach to discourse analysis. New York: Norton & Company. |
[14] |
Davidov, M., Vaish, A., Knafo-Noam, A., & Hastings, P. D. (2016). The motivational foundations of prosocial behavior from a developmental perspective-evolutionary roots and key psychological mechanisms: Introduction to the special section. Child Development, 87(6), 1655-1667. https://doi.org/10.1111/cdev.12639
doi: 10.1111/cdev.12639 URL pmid: 28262938 |
[15] |
Flouri, E., & Sarmadi, Z. (2016). Prosocial behavior and childhood trajectories of internalizing and externalizing problems: The role of neighborhood and school contexts. Developmental Psychology, 52(2), 253-258. https://doi.org/10.1037/dev0000076
doi: 10.1037/dev0000076 URL |
[16] |
Flynn, E., Ehrenreich, S. E., Beron, K. J., & Underwood, M. K. (2015). Prosocial behavior: Long-term trajectories and psychosocial outcomes. Social Development, 24(3), 462-482. https://doi.org/10.1111/sode.12100
doi: 10.1111/sode.12100 URL |
[17] | Gao, X., Liang, J., Wang, S-F., Zhai, Y., Lu, Y.-B, Shi, W.-H., & Shi, X.-M. (2013). Analysis on pupils' current mental health situation and their guardians' attitude in eight provinces in China. Chinese Journal of Disease Control & Prevention, 17(7), 592-595. https://doi.org/CNKI:SUN:JBKZ.0 2013-07-014 |
[18] | Graber, J. A., & Sontag, L. M. (2009). Internalizing problems during adolescence. In R. M. Lerner, L. Steinberg (Ed.), Handbook of adolescent psychology: Individual bases of adolescent development, Vol. 1, 3rd ed. . (pp642-682). New York: John Wiley & Sons Inc. https://doi.org/10.1002/9780470479193.adlpsy001020 |
[19] |
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102-116. https://doi.org/10.1037/a0038889
doi: 10.1037/a0038889 URL pmid: 25822208 |
[20] |
Hawley, P. H. (2003). Prosocial and coercive configurations of resource control in early adolescence: A case for the well-adapted machiavellian. Merrill-Palmer Quarterly, 49(3), 279-309. https://doi.org/10.1353/mpq.2003.0013
doi: 10.1353/mpq.2003.0013 URL |
[21] |
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
doi: 10.1080/10705519909540118 URL |
[22] |
Kazdin, A. E. (1993). Adolescent mental health: Prevention and treatment programs. American Psychologist, 48(2), 127-141. https://doi.org/10.1037/0003-066X.48.2.127
URL pmid: 8442568 |
[23] |
Kenny, D. A. (1975). Cross-lagged panel correlation: A test for spuriousness. Psychological Bulletin, 82(6), 887-903. https://doi.org/ 10. 1037/0033-2909.82.6.887
doi: 10.1037/0033-2909.82.6.887 URL |
[24] |
Kokko, K., Tremblay, R. E., Lacourse, E., Nagin, D. S., & Vitaro, F. (2006). Trajectories of prosocial behavior and physical aggression in middle childhood: Links to adolescent school dropout and physical violence. Journal of Research on Adolescence, 16(3), 403-428. https://doi.org/10.1111/j.1532-7795.2006.00500.x
doi: 10.1111/j.1532-7795.2006.00500.x URL |
[25] | Kou, Y., Hong, H.-F., Tan, C., & Li, L. (2007). Revisioning prosocial tendencies measure for adolescent. Psychological Development and Education, 23(1), 112-117. |
[26] | Kou, Y., & Zhang, Q. P. (2006). Conceptual representation of early adolescents' prosocial behavior. Sociological Studies, 21(5), 169- 187. https://doi.org/CNKI:SUN:SHXJ.0 2006-05-008 |
[27] | Lai, F. H. Y., Siu, A. M. H., & Shek, D. T. L. (2015). Individual and social predictors of prosocial behavior among Chinese adolescents in Hong Kong. Frontiers in Pediatrics, 3, 39. https://doi.org/10.3389/fped.2015.00039 |
[28] |
Leadbeater, B. J., Kuperminc, G. P., Blatt, S. J., & Hertzog, C. (1999). A multivariate model of gender differences in adolescents' internalizing and externalizing problems. Developmental Psychology, 35(5), 1268-1282. https://doi.org/10.1037/0012-1649.35.5.1268
URL pmid: 10493653 |
[29] |
Lee, E. J., & Stone, S. I. (2012). Co-occurring internalizing and externalizing behavioral problems: The mediating effect of negative self-concept. Journal of Youth and Adolescence, 41(6), 717-731. https://doi.org/10.1007/s10964-011-9700-4
doi: 10.1007/s10964-011-9700-4 URL |
[30] |
Little, R. J. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198-1202. https://doi.org/10.2307/2290157
doi: 10.1080/01621459.1988.10478722 URL |
[31] |
Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 151-173. https://doi.org/10.1207/S15328007SEM0902_1
doi: 10.1207/S15328007SEM0902_1 URL |
[32] |
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22(3), 491-495. https://doi.org/DOI:10.1017/S0954579410000222
doi: 10.1017/S0954579410000222 URL pmid: 20576173 |
[33] |
Maxwell, J. P. (2008). Psychometric properties of a Chinese version of the Buss-Warren aggression questionnaire. Personality and Individual Differences, 44(4), 943-953. https://doi.org/10.1016/j.paid.2007.10.037
doi: 10.1016/j.paid.2007.10.037 URL |
[34] |
McNeish, D., & Kelley, K. (2019). Fixed effects models versus mixed effects models for clustered data: Reviewing the approaches, disentangling the differences, and making recommendations. Psychological Methods, 24(1), 20-35. https://doi.org/10.1037/met0000182
doi: 10.1037/met0000182 URL pmid: 29863377 |
[35] |
Memmott-Elison, M. K., Holmgren, H. G., Padilla-Walker, L. M., & Hawkins, A. J. (2020). Associations between prosocial behavior, externalizing behaviors, and internalizing symptoms during adolescence: A meta-analysis. Journal of Adolescence, 80, 98-114. https://doi.org/10.1016/j.adolescence.2020.01.012
doi: S0140-1971(20)30012-9 URL pmid: 32087386 |
[36] | Mesurado, B., Guerra, P., Richaud, M. C., & Rodriguez, L. M. (2019). Effectiveness of prosocial behavior interventions:A meta-analysis. In P. Gargiulo, H. Mesones Arroyo (Ed.), Psychiatry and neuroscience update. Springer, Cham. https://doi.org/10.1007/978-3-319-95360-1_21 |
[37] |
Moilanen, K. L., Shaw, D. S., & Maxwell, K. L. (2010). Developmental cascades: Externalizing, internalizing, and academic competence from middle childhood to early adolescence. Development and Psychopathology, 22(3), 635-653. https://doi.org/10.1017/S0954579410000337
doi: 10.1017/S0954579410000337 URL pmid: 20576184 |
[38] |
Murray, A. L., Eisner, M., & Ribeaud, D. (2020). Within-person analysis of developmental cascades between externalising and internalising problems. Journal of Child Psychology and Psychiatry, 61(6), 681-688. https://doi.org/10.1111/jcpp.13150
doi: 10.1111/jcpp.13150 URL |
[39] | Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide (Eighth Edition). Los Angeles, CA: Muthén & Muthén. |
[40] |
Nantel-Vivier, A., Pihl, R. O., Côté, S., & Tremblay, R. E. (2014). Developmental association of prosocial behaviour with aggression, anxiety and depression from infancy to preadolescence. Journal of Child Psychology and Psychiatry, 55(10), 1135-1144. https://doi.org/10.1111/jcpp.12235
doi: 10.1111/jcpp.12235 URL |
[41] |
Padilla-Walker, L. M., Carlo, G., & Nielson, M. G. (2015). Does helping keep teens protected? Longitudinal bidirectional relations between prosocial behavior and problem behavior. Child Development, 86(6), 1759-1772. https://doi.org/10.1111/cdev.12411
doi: 10.1111/cdev.12411 URL pmid: 26511897 |
[42] |
Padilla-Walker, L. M., Memmott-Elison, M. K., & Coyne, S. M. (2017). Associations between prosocial and problem behavior from early to late adolescence. Journal of Youth and Adolescence, 47(5), 961-975. https://doi.org/10.1007/s10964-017-0736-y
doi: 10.1007/s10964-017-0736-y URL |
[43] |
Paulus, M. (2018). The multidimensional nature of early prosocial behavior: A motivational perspective. Current Opinion in Psychology, 20, 111-116. https://doi.org/10.1016/j.copsyc.2017.09.003
doi: 10.1016/j.copsyc.2017.09.003 URL |
[44] |
Pinquart, M. (2017). Associations of parenting dimensions and styles with externalizing problems of children and adolescents: An updated meta-analysis. Developmental Psychology, 53(5), 873-932. https://doi.org/10.1037/dev0000295
doi: 10.1037/dev0000295 URL pmid: 28459276 |
[45] | Reitz, E., Dekovic, M., & Meijer, A. M. (2005). The structure and stability of externalizing and internalizing problem behavior during early adolescence. Journal of Youth & Adolescence, 34(6), 577-588. https://doi.org/10.1007/s10964-005-8947-z |
[46] | Sharp, C. (2020). Adolescent personality pathology and the alternative model for personality disorders: Self development as nexus. Psychopathology, 53(3), 192-198. https://doi.org/10.1159/000507588 |
[47] | StataCorp. (2017). Stata Statistical Software: Release 15. StataCorp LLC. |
[48] |
Usami, S. (2020). On the differences between general cross-lagged panel model and random-intercept cross-lagged panel model: Interpretation of cross-lagged parameters and model choice. Structural Equation Modeling: A Multidisciplinary Journal, 28(3), 1-14. https://doi.org/10.1080/10705511.2020.1821690
doi: 10.1080/10705511.2020.1764360 URL |
[49] |
van Lier, P. A. C., Vitaro, F., Barker, E. D., Brendgen, M., Tremblay, R. E., & Boivin, M. (2012). Peer victimization, poor academic achievement, and the link between childhood externalizing and internalizing problems. Child Development, 83(5), 1775-1788. https://doi.org/10.1111/j.1467-8624.2012.01802
doi: 10.1111/j.1467-8624.2012.01802.x URL pmid: 22716904 |
[50] | Wang, K., Shi, H.-S., Geng, F.-L., Zou, L.-Q., Tan, S.-P., Wang, Y., … Chan, R. C. K. (2016). Cross-cultural validation of the depression anxiety stress scale-21 in China. Psychological Assessment, 28(5), e88-e100. https://doi.org/10.1037/pas0000207 |
[51] |
Weeks, M., Ploubidis, G. B., Cairney, J., Wild, T. C., Naicker, K., & Colman, I. (2016). Developmental pathways linking childhood and adolescent internalizing, externalizing, academic competence, and adolescent depression. Journal of Adolescence, 51, 30-40. https://doi.org/10.1016/j.adolescence.2016.05.009
doi: 10.1016/j.adolescence.2016.05.009 URL |
[52] |
Xie, X., Chen, W., Lei, L., Xing, C., & Zhang, Y. (2016). The relationship between personality types and prosocial behavior and aggression in Chinese adolescents. Personality and Individual Differences, 95, 56-61. https://doi.org/10.1016/j.paid.2016.02.002
doi: 10.1016/j.paid.2016.02.002 URL |
[53] | Zhou, H., & Long, L. R. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942-950. |
[54] |
Zimmer-Gembeck, M. J., Geiger, T. C., & Crick, N. R. (2005). Relational and physical aggression, prosocial behavior, and peer relations: Gender moderation and bidirectional associations. The Journal of Early Adolescence, 25(4), 421-452. https://doi.org/10.1177/0272431605279841
doi: 10.1177/0272431605279841 URL |
[55] |
Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., … Diener, E. (2020). From data to causes I: Building a general cross-lagged panel model (GCLM). Organizational Research Methods, 23(4), 651-687. https://doi.org/10.1177/1094428119847278
doi: 10.1177/1094428119847278 URL |
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