TITLE: 
                        
                            Life Satisfaction between Chinese-Immigrant Adolescents and Their Counterparts in the United States and China
                                
                                
                                    AUTHORS: 
                                            Jessica J. Lee, Carole Kimberlin 
                                                    
                                                        KEYWORDS: 
                        Life Satisfaction, Chinese-Immigrant Children, SLSS, Cross-Cultural 
                                                    
                                                    
                                                        JOURNAL NAME: 
                        Open Journal of Social Sciences,  
                        Vol.3 No.4, 
                        April
                                                        16,
                        2015
                                                    
                                                    
                                                        ABSTRACT: The objective of this study was to compare the life satisfaction (LS) of Chinese-immigrant children in the United States (US) with their counterparts in America and China by using the Students’ Life Satisfaction Scale (SLSS). The mean scores of SLSS were examined and compared among three groups. Multivariate linear regression analysis was conducted to identify the differences of LS among comparison groups after adjusting for other potential risk factors. Out of 161 children who completed the surveys, 47 (29%) were Chinese-immigrant children, 81 (50%) were native Chinese children, and 33 (20%) were non-immigrant US children. The results showed that Chinese- immigrant children had higher overall LS than native Chinese children (4.39 ± 0.83 vs 3.79 ± 0.81; p = 0.0001), but lower overall LS than non-immigrant children in the US (4.39 ± 0.83 vs 4.81 ± 0.69; p = 0.0207). Systematic investigation on larger populations will be necessary to identify the potential contributing factors.