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Alternative Paths of Analysing (De)Standardization of Life Courses. Testing, Developing and Simplifying Methods of Sequence Analysis

生命历程标准化（去）分析的替代路径。

基本信息

批准号：
264262170
负责人：
Professor Dr. Dirk Konietzka
金额：
--
依托单位：
Department für Sozialwissenschaften
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2019-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/264262170?language=en
关键词：
Alternative Paths Analysing De Standardization

项目摘要

The proposed project connects to a classic theme of sociological life course research inspired by differentiation and modernization theory, namely the issue of long-term changes in the structure of the modern life course. Changes in cohort-specific life course patterns are best understood as aggregated consequences of the decisions made by individual members of successive birth cohorts. These decisions relate to central life domains, especially the areas of living arrangements and family, education and employment as well as associated migration behavior. Methodologically, life course research is based on the analysis of longitudinal data which enable researchers to map the entry and sequence of life events (transitions) and episodes as well as to explain the dynamics of life events (e.g. the birth of the first child) in dependence of other events (e.g. at work or in personal relationships). In the past, empirical research mainly dealt with specific transitions, while questions about more complex life course patterns were neglected; this is especially true for the classic issue of long-term dynamics of standardization and de-standardization of the life course. Only in recent years, driven by innovative methods of sequence data analysis, the interest in more holistic approaches to life course research has been increasing again. However, the current debate about the pros and cons of various methods of analysis of cohort-specific life course patterns is flawed by a lack of theoretical and empirical contributions that link the concept of standardization and its various sub-dimensions with specific methods of sequence data analysis in a theoretically meaningful way. In addition, there is a lack of established procedures which enable us to examine causal influences on the degree of (de)standardization of life courses in a methodologically sound way. In the proposed project, both problem domains will be addressed systematically. For this purpose, we pursue four goals: First, we analyze the dimensional structure of the sociological construct '(de)standardization' by using methods of sequence data analysis. Here, the aim is to clarify which dimensions of (de)standardization discussed in the literature represent empirically independent aspects of de-standardization and which are related to each other and therefore do not need to be examined separately. Second, we aim to demonstrate that the standard methods of analyzing life course sequences, which are based on cluster analysis, can be simplified. Third, we address the hitherto neglected problem of analyzing causal influences on life course sequences using different kinds of regression models. Finally, we aim at implementing a statistical tool for the various methods developed and compared in our project, providing a simple application of the most important methodological innovations and fast availability of relevant background information.

拟议的项目连接到一个经典的主题，社会学的生活过程研究的启发分化和现代化理论，即在现代生活过程的结构长期变化的问题。群体特定生命历程模式的变化最好理解为连续出生群体的个体成员所作决定的综合后果。这些决定涉及生活的核心领域，特别是生活安排和家庭、教育和就业以及相关的移徙行为等领域。从方法论上讲，生命历程研究基于对纵向数据的分析，使研究人员能够绘制生活事件（过渡）和情节的条目和序列，并解释生活事件（例如第一个孩子的出生）的动态依赖于其他事件（例如工作或个人关系）。在过去，实证研究主要涉及具体的过渡，而更复杂的生命历程模式的问题被忽视，这是真正的标准化和非标准化的生命历程的长期动态的经典问题。只是在最近几年，在序列数据分析的创新方法的推动下，对生命过程研究的更全面方法的兴趣再次增加。然而，目前的辩论的利弊的各种方法的分析队列特定的生命历程模式是有缺陷的，缺乏理论和经验的贡献，链接的概念标准化和它的各种子维度的序列数据分析的具体方法，在理论上有意义的方式。此外，还缺乏一个既定的程序，使我们能够检查因果关系的影响程度（去）标准化的生活过程中，在方法上健全的方式。在拟议的项目中，这两个问题领域都将得到系统的处理。为此，我们追求四个目标：第一，我们分析的维度结构的社会学结构的“（去）标准化”，通过使用序列数据分析方法。在这里，我们的目的是澄清哪些方面的（去）标准化文献中讨论的代表经验独立方面的去标准化，并相互关联，因此不需要单独审查。其次，我们的目的是证明，标准的方法分析生命历程序列，这是基于聚类分析，可以简化。第三，我们解决了迄今被忽视的问题，分析因果关系的影响，生命历程序列使用不同类型的回归模型。最后，我们的目标是实现一个统计工具，在我们的项目中开发和比较的各种方法，提供一个简单的应用程序的最重要的方法创新和快速提供相关的背景信息。