Acta Psychologica Sinica ›› 2024, Vol. 56 ›› Issue (11): 1499-1511.doi: 10.3724/SP.J.1041.2024.01499
• Reports of Empirical Studies • Previous Articles Next Articles
ZHAO Xian1, HU Yiqiu1,2,3,4, LI Zhihua5()
Received:
2023-12-28
Published:
2024-11-25
Online:
2024-09-05
Contact:
LI Zhihua
E-mail:lzhua1018@163.com
Supported by:
ZHAO Xian, HU Yiqiu, LI Zhihua. (2024). The longitudinal relationship between social mobility belief and prosocial behavior among adolescents from out-of-poverty families: The moderating effect of urban‒rural differences. Acta Psychologica Sinica, 56(11), 1499-1511.
Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
1. Gender | — | |||||||
2. Urban-rural differences | ?0.01 | — | ||||||
3. T1 social mobility belief | ?0.06 | 0.12** | — | |||||
4. T2 social mobility belief | ?0.01 | 0.09** | 0.29*** | — | ||||
5. T3 social mobility belief | 0.01 | 0.36** | 0.39*** | 0.38** | — | |||
6. T1 prosocial behavior | ?0.02 | 0.01 | 0.17*** | 0.10** | 0.14*** | — | ||
7. T2 prosocial behavior | ?0.01 | 0.07 | 0.10** | 0.12** | 0.15*** | 0.34*** | — | |
8. T3 prosocial behavior | ?0.02 | 0.18*** | 0.12** | 0.04 | 0.22*** | 0.33*** | 0.49*** | — |
M | — | — | 4.27 | 4.19 | 4.37 | 1.49 | 1.43 | 1.41 |
SD | — | — | 0.87 | 1.02 | 0.99 | 0.34 | 0.45 | 0.44 |
Table 1 Descriptive Statistics and Correlations Between Study Variables (n = 767)
Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
1. Gender | — | |||||||
2. Urban-rural differences | ?0.01 | — | ||||||
3. T1 social mobility belief | ?0.06 | 0.12** | — | |||||
4. T2 social mobility belief | ?0.01 | 0.09** | 0.29*** | — | ||||
5. T3 social mobility belief | 0.01 | 0.36** | 0.39*** | 0.38** | — | |||
6. T1 prosocial behavior | ?0.02 | 0.01 | 0.17*** | 0.10** | 0.14*** | — | ||
7. T2 prosocial behavior | ?0.01 | 0.07 | 0.10** | 0.12** | 0.15*** | 0.34*** | — | |
8. T3 prosocial behavior | ?0.02 | 0.18*** | 0.12** | 0.04 | 0.22*** | 0.33*** | 0.49*** | — |
M | — | — | 4.27 | 4.19 | 4.37 | 1.49 | 1.43 | 1.41 |
SD | — | — | 0.87 | 1.02 | 0.99 | 0.34 | 0.45 | 0.44 |
Variables | χ2 | df | CFI | TLI | RMSEA (90% CI) | Estimate | Co-correlativity coefficient | |
---|---|---|---|---|---|---|---|---|
Intercept (α) | Slope (S) | |||||||
Prosocial behavior | 2.08 | 1 | 0.99 | 0.99 | 0.03 (0.00, 0.11) | 1.49*** | ?0.04*** | ?0.01 |
Social mobility belief | 1.96 | 1 | 0.95 | 0.86 | 0.08 (0.07, 0.19) | 4.23*** | 0.06** | 0.08* |
Table 2 Coefficients and Fit Indices of Linear Latent Growth Models
Variables | χ2 | df | CFI | TLI | RMSEA (90% CI) | Estimate | Co-correlativity coefficient | |
---|---|---|---|---|---|---|---|---|
Intercept (α) | Slope (S) | |||||||
Prosocial behavior | 2.08 | 1 | 0.99 | 0.99 | 0.03 (0.00, 0.11) | 1.49*** | ?0.04*** | ?0.01 |
Social mobility belief | 1.96 | 1 | 0.95 | 0.86 | 0.08 (0.07, 0.19) | 4.23*** | 0.06** | 0.08* |
Figure 3. Social mobility belief and Urban-rural differences predicted the change in prosocial behavior. Note. T1 = Time 1; T2 = Time 2; T3 = Time 3; Social mobility belief = SMB; Prosocial Behavior = PB; Intercept of prosocial behavior = αPB; Slope of prosocial behavior = SPB; Intercept of social mobility belief = αSMB; Slope of social mobility belief = SSMB.
Variables | Intercept of PB (αPB) | Slope of PB (SPB) | ||||
---|---|---|---|---|---|---|
Estimate | Posterior S.D. | 95% CI | Estimate | Posterior S.D. | 95% CI | |
Gender | 0.05 | 0.04 | [0.08, ?0.12] | ?0.08 | 0.64 | [?0.54, 0.42] |
Urban-rural differences | ?0.05 | 0.06 | [0.14, ?0.16] | ?0.02 | 0.72 | [?0.69, 0.36] |
Intercept of SMB(αSMB) | 0.38*** | 0.07 | [0.24, 0.52] | ?0.12+ | 0.08 | [?0.29, ?0.04] |
Slope of SMB (SSMB) | — | — | — | ?0.43* | 0.73 | [?0.23, ?0.52] |
Table 3 Social mobility belief and Urban-rural differences predicted the change in prosocial behavior
Variables | Intercept of PB (αPB) | Slope of PB (SPB) | ||||
---|---|---|---|---|---|---|
Estimate | Posterior S.D. | 95% CI | Estimate | Posterior S.D. | 95% CI | |
Gender | 0.05 | 0.04 | [0.08, ?0.12] | ?0.08 | 0.64 | [?0.54, 0.42] |
Urban-rural differences | ?0.05 | 0.06 | [0.14, ?0.16] | ?0.02 | 0.72 | [?0.69, 0.36] |
Intercept of SMB(αSMB) | 0.38*** | 0.07 | [0.24, 0.52] | ?0.12+ | 0.08 | [?0.29, ?0.04] |
Slope of SMB (SSMB) | — | — | — | ?0.43* | 0.73 | [?0.23, ?0.52] |
变量 | Intercept of PB (αPB) | Slope of PB (SPB) | ||||
---|---|---|---|---|---|---|
Estimate | Posterior S.D. | 95% CI | Estimate | Posterior S.D. | 95% CI | |
Urban-rural differences (W) | ?0.88*** | 0.03 | [?0.98, ?0.88] | 0.01 | 0.13 | [?0.20, 0.34] |
Intercept of SMB (αSMB) | ?0.04 | 0.10 | [?0.23, 0.14] | — | — | — |
Slope of SMB (SSMB) | — | — | — | ?0.64*** | 0.13 | [?0.89, ?0.36] |
Intercept of SMB×W (αSMB W) | 0.31*** | 0.06 | [0.17, 0.44] | — | — | — |
Slope of SMB×W (SSMB W) | — | — | — | 0.48*** | 0.11 | [0.28, 0.70] |
Table 4 The interaction effect in growth modeling
变量 | Intercept of PB (αPB) | Slope of PB (SPB) | ||||
---|---|---|---|---|---|---|
Estimate | Posterior S.D. | 95% CI | Estimate | Posterior S.D. | 95% CI | |
Urban-rural differences (W) | ?0.88*** | 0.03 | [?0.98, ?0.88] | 0.01 | 0.13 | [?0.20, 0.34] |
Intercept of SMB (αSMB) | ?0.04 | 0.10 | [?0.23, 0.14] | — | — | — |
Slope of SMB (SSMB) | — | — | — | ?0.64*** | 0.13 | [?0.89, ?0.36] |
Intercept of SMB×W (αSMB W) | 0.31*** | 0.06 | [0.17, 0.44] | — | — | — |
Slope of SMB×W (SSMB W) | — | — | — | 0.48*** | 0.11 | [0.28, 0.70] |
Figure 4. The interaction model in growth modeling. Note. T1 = Time 1; T2 = Time 2; T3 = Time 3; Social mobility belief = SMB; Prosocial Behavior = PB; Intercept of prosocial behavior = αPB; Slope of prosocial behavior = SPB; Intercept of social mobility belief = αSMB; Slope of social mobility belief = SSMB.
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