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An HLM Analysis Of The Longitudinal Study On The Behavioral Problems In Ecological Migrant Children

Posted on:2015-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:L P FengFull Text:PDF
GTID:2285330452993817Subject:Mental Illness and Mental Health
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Objective: To understand the developmental tendency of the behavioral problems overtime by analyzing the behavior problems of eco-migrant children in a longitudinal study, andto insight the differences between individuals on that tendency (such as between different sex,between different ethnic groups, etc.), and to explore the migration factors associated withthat change of behavior problems.Methods: A sample of1329eco-migrant children participated in the presentlongitudinal study. The tracking data was continuously collected on3times, and measured bya self-made general information scale and Child Behavior Checklist (CBCL). HierarchicalLinear Model (HLM) was employed for statistical analysis based on its low requirement tothe tracking data, and ability to pick out the variance from the measurement level andindividual level.Results:(1) The detection rate of behavioral problem in different groups at T2waslower than T1, respectively; from T2to T3, the changes of detection rate were not the same.The detection rate of behavioral problem on3times among different sub-samples wassignificant different except Han group.(2)The result of HLM showed that, at T1, T2, T3, the CBCL total score of Hui weresignificantly higher than Han, and those who showed behavioral problem at T1scored higherthan those who showed no behavioral problem at T1, and the age difference was notsignificant. At T2, gender difference was also significant.During the longitudinal period, the descending trend of behavior total score wassignificant on the whole. Further analysis showed that the total score of those who showed no behavioral problem at T1was on the rise, otherwise, that of those who showed behavioralproblem at T1declined. To T3, Hui’s girl aged from6to11in the former participantstogether with Hui’s children and Han’s girl aged6to11in the later subjects scored higherthan the norm. And the pace of later was faster than that of the former. The differences ofgender, ethnic group and age group were not significant on the developmental trend of totalscore. Parents’ living state at T1significantly predicted the developmental trend of behaviortotal score.(3)HLM showed that, at T1, T2, T3, Hui’s internalizing score were higher than Han’s;children with behavioral problem at T1scored higher than children without behavior problemat T1; the gender difference was not significant. The age difference was obvious at T1and T2,but not like this at T3.During the longitudinal period, the internalizing score of participants decreasedsignificantly on the whole, and there was significant difference on the developmentalvariance among individuals: the internalizing score of children with behavioral problem at Tldescended at a faster speed, whereas, that of the children without behavioral problem at T1ascended at a lower speed. To T3, Hui’s boy aged6to11scored higher than the norm. Thedifference of age group was also significant on the developmental trend of internalizing score,but the differences of gender and ethnic group were not. Household income way and parents’living state at T1could not take responsibility for the development tendency of internalizingscore.(4)As HLM shown, at T1, T2, T3, boy’s externalizing score were higher than girl’s;externalizing score of those who showed behavioral problem at T1were higher than thosewho showed no problem at T1; there was no difference between age group. At T2, T3,differences of externalizing score in Hui and Han were significant.During the longitudinal period, the externalizing score of eco-migrant children decreasedsignificantly on the whole, and there was obvious difference on the developmental variance among individuals: The externalizing score of group with behavioral problem at Tl descendedat a faster speed, whereas, that of the group without behavioral problem at T1ascended at alower speed. To T3, Hui’s girl and Hui’s boys aged6to11scored higher than the norm.There were no differences on the developmental trend of children’s externalizing score ingender, ethnic and age, respectively. Parents’ living state at T1significantly predicted thedevelopmental trend of children’s externalizing score.Conclusions:(1) In general, the detect rate of behavior problem in eco-migrant childrenhave a downward trend over time.(2)For eco-migrant children who showed behavioral problem initially, the severity levelof total behavioral problem, internalizing problem and externalizing problem descended asthe extension of migrant time. For eco-migrant children who showed no behavioral probleminitially, the severity level of total behavioral problem, internalizing problem andexternalizing problem ascended as the extension of migrant time.(3)During the longitudinal time, eco-migrant children with behavioral problem initiallyalways showed at a more serious level on the total behavioral problem, internalizing problemand externalizing problem than those children without behavioral problem initially; Hui’slevel was always higher than Han’s on the total behavioral problem and internalizing problem;On the externalizing problem, boy’s level has been higher than girl’s.The eco-migrant children’s state of initial behavioral problem could predict thedeveloping speed on three kinds of behavioral problems. And for the change of theinternalizing problem, age also played an important role.(4) The initial parents’ living state took responsibility for the difference on thedevelopmental tendency of total behavioral problem and externalizing problem ineco-migrant children.
Keywords/Search Tags:ecological immigrant, children, behavior problems, Hierarchical Linear Model, the longitudinal study
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