Family Complexity and Children's Outcomes in the UK: A Longitudinal Approach

该项目旨在研究家庭复杂性（例如父母分居和重新结成伴侣）对儿童的结果的影响，例如包括健康、行为或福祉。我们将利用英国家庭纵向研究（UKHLS）的二级数据进行分析。本研究将采用定量设计，采用先进的纵向方法来回答以下问题，旨在填补目前研究的空白： 家庭结构的变化如何影响孩子的成长？ 再婚/再婚家庭的经历会降低孩子的幸福感吗？ 家庭复杂性对儿童的结局有何短期和长期影响？ 社会经济和种族背景之间是否存在差异？ 首先，我们将使用多过程模型来分析父母的家庭生活转变和儿童的结果，同时考虑家庭结构的变化和儿童的结果。 其次，多通道序列分析（MCSA）将被用来模拟每个人的生活作为一个事件序列。MCSA是一种数据挖掘方法，它可以同时模拟更多的生活维度，如家庭结构或儿童的结果作为相互关联的渠道。 第三，我们将比较我们在社会经济和种族群体之间的结果。

This project aims to study the consequences of family complexity (e.g. parental separation and repartnering) for children's outcomes, which will for example include health, behaviour, or well-being. We will utilise secondary data from the UK Household Longitudinal Study (UKHLS) for our analyses. This study will employ a quantitative design using advanced longitudinal methods to answer the following questions aiming to fill the gaps in current research: How do changes in family structure influence children's outcomes? Does repartnering/step-family experience reduce children's wellbeing? What are the short- and long-term effects of family complexity on children's outcomes? Are there differences between socioeconomic and ethnic backgrounds? Firstly, we will use multi-process models to analyse parents' family life transitions and children's outcomes accounting for both changes in family structure and children's outcomes. Secondly, multi-channel sequence analysis (MCSA) will be employed to model each individual's life as a sequence of events. MCSA is a data mining approach where it is possible to simultaneously model more life dimensions, such as family structure or children's outcomes as interrelated channels. Thirdly, we will compare our results across socio-economic and ethnic groups.