| Literature DB >> 25750813 |
Lihua Chen1, Shaobing Su2, Xiaoming Li2, Cheuk Chi Tam2, Danhua Lin1.
Abstract
Objectives: The global literature has revealed potential negative impacts of migration and discrimination on individual's psychological adjustments. However, the psychological adjustments among internal migrant children in developing countries are rarely assessed. This study simultaneously examines perceived discrimination and schooling arrangements in relation to psychological adjustments among rural-to-urban migrant children in China.Entities:
Keywords: perceived discrimination; psychological adjustments; rural-to-urban migrant children; schooling arrangements
Year: 2014 PMID: 25750813 PMCID: PMC4346079 DOI: 10.1080/21642850.2014.919865
Source DB: PubMed Journal: Health Psychol Behav Med
Demographic characteristics of the sample.
| Overall | Migrant children in MCS | Migrant children in public school | |||
|---|---|---|---|---|---|
| 657 (100%) | 300 (45.7%) | 357 (54.3%) | 4.95 | .026 | |
| Gender | 0.44 | .506 | |||
| Female | 260 (40.4%) | 123 (41.8%) | 137 (39.3%) | ||
| Male | 383 (59.6%) | 171 (58.2%) | 212 (60.7%) | ||
| Father's educational level | 60.43 | <.001 | |||
| Elementary school or lower | 87 (13.7%) | 63 (22.2%) | 24 (6.9%) | ||
| Middle school | 276 (43.5%) | 143 (50.4%) | 133 (38.0%) | ||
| High school or higher | 271 (42.7%) | 78 (27.5%) | 193 (55.1%) | ||
| Mother's educational level | 89.37 | <.001 | |||
| Elementary school or lower | 149 (23.9%) | 106 (39.1%) | 43 (12.2%) | ||
| Middle school | 239 (38.4%) | 112 (41.3%) | 127 (36.1%) | ||
| High school or higher | 235 (37.7%) | 53 (19.6%) | 182 (51.7%) | ||
| Family income | 51.36 | <.001 | |||
| Lower than 2000 Yuan | 185 (29.6%) | 117 (42.4%) | 68 (19.5%) | ||
| 2000–6000 Yuan | 250 (40.1%) | 109 (39.5%) | 141 (40.5%) | ||
| Higher than 6000 Yuan | 189 (30.3%) | 50 (18.1%) | 139 (39.9%) | ||
| SES, | 2.31 (0.90) | 1.96 (1.01) | 2.60 (0.66) | 9.49 | <.001 |
aStudent's t-test.
M, mean; SD, standard deviation.
Note: Sample sizes differed slightly across analyses owing to missing self-report of individual characteristics for some participants.
Group differences in terms of social anxiety, depression and loneliness.
| Perceived discriminationa | Schooling arrangements | |||||
|---|---|---|---|---|---|---|
| Low (1) | Medium (2) | High (3) | MCS | Public school | ||
| Social anxiety, | 1.34 (0.44) | 1.57 (0.52) | 2.06 (0.72)*** | (1,2)(1,3)(2,3) | 1.77 (.61) | 1.52 (.61)*** |
| Depression, | 1.59 (0.35) | 1.72 (0.37) | 2.20 (0.53)*** | (1,2)(1,3)(2,3) | 1.93 (.45) | 1.71 (.47)*** |
| Loneliness, | 1.71 (0.77) | 1.91 (0.73) | 2.54 (0.80)*** | (1,2)(1,3)(2,3) | 2.24 (.72) | 1.84 (.86)*** |
aPerceived discrimination: low perceived discrimination, medium perceived discrimination and high perceived discrimination.
*p < .05.
**p < .01.
***p < .001.
GLM analysis of social anxiety, depression and loneliness.
| Main effect | Interaction | Covariates | |||
|---|---|---|---|---|---|
| Perceived discrimination | Schooling arrangements | Discrimination × schooling arrangements | Gender | SES | |
| Multivariate test (Wilks' Lambda) | 30.18*** | 3.05* | 3.28** | 3.22* | 3.66* |
| Social anxiety | 59.99*** | 1.18 | 0.14 | 5.20* | 3.51 |
| Depression | 77.13*** | 3.53 | 2.35 | 0.03 | 6.38* |
| Loneliness | 38.95*** | 8.94** | 9.05*** | 0.79 | 9.73** |
*p < .05.
**p < .01.
***p < .001.
Figure 1. Profile plot of loneliness.