| Literature DB >> 24265820 |
Yongxiang Chen1, Liqi Zhu, Zhe Chen.
Abstract
This study aimed to examine how family income and social distance influence young rural Chinese children's altruistic behavior in the dictator game (DG). A total of 469 four-year-old children from eight rural areas in China, including many children left behind by parents who had migrated to urban areas for work, played the DG. Stickers comprised the resource, while recipients in the game were assumed to be either their friends or strangers, with the social distance (i.e., strangers compared to friends) as a between-subjects variable. Children donated significantly more stickers to their friends than to strangers. Moreover, children from lower income families donated more stickers than children from higher income families. However, no gender and parental migrant status differences in children's prosocial behaviors were evident in this sample. Findings of this study suggest that children's altruistic behaviours to peers are influenced by family characteristics since preschool age. The probable influence of local socialization practices on development and the possible adaptive significance were discussed.Entities:
Mesh:
Year: 2013 PMID: 24265820 PMCID: PMC3827203 DOI: 10.1371/journal.pone.0080419
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Distribution of number of stickers donated in DG, by social distance levels (between-subject), for the complete sample.
Descriptive statistics (mean±SD/percentage).
| No-parent migration | Mother-only migration | Father-only migration | Both-parent migration |
| |
|---|---|---|---|---|---|
| Dependant variable | |||||
| Children’s DG offers | 1.47 ± 1.19 | 1.36 ± 1.05 | 1.40 ± 1.04 | 1.69 ± 1.17 | .355 |
| DG offers to friends | 1.47 ±. 97 | 1.50 ± .86 | 1.51 ± .94 | 1.97 ± 1.01 | .077 |
| DG offers to strangers | 1.47 ± 1.35 | 1.22 ± 1.22 | 1.30 ± 1.14 | 1.39 ± 1.27 | .938 |
| Independent variables | |||||
| Children’s Age (years) | 4.07 ± .31 | 4.02 ± .34 | 3.94 ± .29 | 3.98 ± .26 | .017 |
| Gender (male=1) | .56 | .49 | .56 | .53 | .852 |
| Number of children in the family | 1.54 ± .61 | 1.35 ± .54 | 1.52 ± .61 | 1.51 ± .63 | .381 |
| Maternal education (years) | 9.35 ± 2.34 | 9.60 ± 2.46 | 9.38 ± 2.40 | 8.84 ± 1.53 | .512 |
| Paternal education (years) | 9.95 ± 2.30 | 10.31 ± 2.70 | 9.77 ± 2.57 | 9.29 ± 1.62 | .208 |
| Family income (in 1000 RMB) | 5.00 ± .34 | 5.16 ± .40 | 6.12 ± .61 | 5.46 ± .51 | .975 |
| Social distance (strangers=1) | .56 | .51 | .50 | .47 | .611 |
Note. Children’s DG offers = Children’s DG offers in the whole sample (N = 455). N = 225 for friend condition, N = 230 for stranger condition. Family income = Average annual per capita family income, median. one hundred Yuan RMB = 14.95 US dollars at the time of testing.
Spearman correlations of DG offers with child, family and SES variables.
| wDG | fDG | sDG | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Social distance | -.15** | . | . | |||||||||
| 2 Children’s Age | -0.03 | -0.04 | -0.04 | -0.02 | ||||||||
| 3 Children’s Gender | -0.01 | -0.02 | -0.01 | -0.03 | -0.02 | |||||||
| 4 Number of children | 0.02 | 0.01 | 0.02 | -0.03 | 0.05 | 0.01 | ||||||
| 5 Mo-migration | -0.03 | -0.03 | -0.04 | 0 | 0.02 | -0.04 | -0.09 | |||||
| 6 Fa-migration | -0.04 | -0.06 | -0.02 | -0.02 | -.14** | 0.02 | 0.01 | -.26** | ||||
| 7 Bo-migration | 0.1 | .20** | 0.01 | -0.05 | -0.02 | -0.02 | 0.01 | -.18** | -.40** | |||
| 8 Maternal education | -0.07 | -0.1 | -0.05 | 0.01 | -0.04 | -0.04 | -.31** | 0.04 | 0.03 | -0.08 | ||
| 9 Paternal education | -0.01 | -0.1 | 0.06 | -0.05 | 0.08 | -0.03 | -.22** | 0.06 | -0.03 | -0.09 | .51** | |
| 10 Family income | -.10* | -.19** | -0.03 | -0.04 | -0.09 | -0.06 | -.31** | 0 | 0.02 | -0.02 | .25** | .18** |
Note. wDG = Children’s DG offers in the whole sample (N = 455), fDG = DG offers to friends (N = 225), sDG = DG offers to strangers (N = 230). Social distance (0 = friends, 1 = strangers). Number of children= Number of children in the family. Family income = Average annual per capita family income. Mo-migration = Mother-only migration, Fa-migration = Father-only migration, Bo-migration = Both-parent migration.
* p < .05, **p < .01, ***p < .001, all two-tailed.
a Cannot be computed because at least one of the variables is constant.
Examination of Possible Interactions among Three Independent Variables.
| Step Predictors |
|
|
|
| △ |
|
|---|---|---|---|---|---|---|
|
| ||||||
| 1 Social distance | -1.825 | .069 | -.098 | .031 | .031 | 3.581* |
| Family income | -2.024 | .044 | -.109 | |||
| BPM | 1.819 | .070 | .098 | |||
| 2 Social distance | -1.112 | .267 | -.067 | .040 | .009 | 1.028 |
| Family income | -2.217 | .027 | -.172 | |||
| BPM | 2.137 | .033 | .161 | |||
| Social distance * Family income | 1.280 | .201 | .091 | |||
| Family income * BPM | .066 | .947 | .004 | |||
| Social distance * BPM | -1.151 | .250 | -.092 | |||
| 3 Social distance | -1.111 | .267 | -.067 | .040 | .000 | .007 |
| Family income | -2.137 | .033 | -.174 | |||
| BPM | 2.129 | .034 | .161 | |||
| Social distance * Family income | 1.180 | .239 | .094 | |||
| Family income * BPM | .102 | .919 | .008 | |||
| Social distance * BPM | -1.152 | .250 | -.092 | |||
| Social distance * Family income * BPM | -.081 | .935 | -.006 |
Note. Social distance (0 = friends, 1 = strangers). Family Income = Average annual per capita family income (1000 RMB). BPM = Both-parent migration.
* p < .05, **p < .01, all two-tailed.
Regressions predicting DG offers.
| Step Predictors |
|
|
| △ |
|
|---|---|---|---|---|---|
|
| |||||
| 1 Social distance | -2.14* | -.10 | .01 | .01 | 4.56* |
| 2 Social distance | -2.28* | -.11 | |||
| Family Income | -2.75** | -.13 | .03 | .02 | 7.54** |
Note. Social distance (0 = friends, 1 = strangers). Family Income = Average annual per capita family income (1000 RMB).
* p < .05, **p < .01, all two-tailed.