Holistic trajectories: a study of combined employment, housing and family careers by using multiple‐sequence analysis
Holistic trajectories: a study of combined employment, housing and family careers by using multiple‐sequence analysis
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整体轨迹：利用多序列分析对就业、住房和家庭职业进行综合研究
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Gary Pollock
中科院分区：
文献类型：
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作者：
Gary Pollock
总结。到目前为止，序列分析的社会科学应用涉及到一种类型学的发展，这种类型学是基于对一两个变量的分析，这些变量具有相对较少的不同状态。将序列分析应用于更多的变量，从而应用于更大的状态空间，这是一个尚未开发的潜力。例如，在没有参考住房、婚姻和家庭状况变化的数据的情况下，发展就业经历的类型学可以说是不充分的。本文展示了序列分析在检查状态的多变量组合随时间变化时的使用，并表明这种方法可以提供通过其他分析方法难以实现的见解。本文所研究的数据支持了对共同经历的直观理解，这些共同经历既与生命历程有关，又与社会经济因素有关。住房使用权被认为是理解所研究的整体轨迹的关键。这表明，生活轨迹因社会住房的经历而明显不同。
Summary. Social science applications of sequence analysis have thus far involved the development of a typology on the basis of an analysis of one or two variables which have had a relatively low number of different states. There is a yet unexplored potential for sequence analysis to be applied to a greater number of variables and thereby a much larger state space. The development of a typology of employment experiences, for example, without reference to data on changes in housing, marital and family status is arguably inadequate. The paper demonstrates the use of sequence analysis in the examination of multivariable combinations of status as they change over time and shows that this method can provide insights that are difficult to achieve through other analytic methods. The data that are examined here provide support to intuitive understandings of clusters of common experiences which are both life course specific and related to socio‐economic factors. Housing tenure is found to be of key importance in understanding the holistic trajectories that are examined. This suggests that life course trajectories are sharply differentiated by experience of social housing.