Comparison of two approaches in multichannel sequence analysis using the Swiss Household Panel.

IF 1.2 4区 社会学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Longitudinal and Life Course Studies Pub Date : 2022-12-20 DOI:10.1332/175795921X16698302233894
Kevin Emery, André Berchtold
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引用次数: 2

Abstract

Sequence analysis is an established approach to study life courses. When several life domains are considered simultaneously, multichannel sequence analysis (MSA) and the extended alphabet (EA) approach are the most frequently used strategies. We compare these two methods using real data composed of four life domains (cohabitational status, children, professional status, health), and we focus on clustering since sequence analysis usually aims to identify typical patterns in sequences. As professional status trajectories, and potentially their relationship with other domains, proved to be different between men and women, the analyses were run separately by sex. We describe step by step the approach followed and the different criteria to judge the relevance of a typology. Neither of the two approaches is clearly superior, and the typologies obtained with both methods are often close. However, even if MSA is generally easier to use and applies to a broader range of situations, EA can provide original typologies in specific cases and we therefore propose guidelines for choosing between the two approaches depending on the context.

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使用瑞士家庭面板进行多通道序列分析的两种方法的比较
序列分析是研究生命历程的一种既定方法。当同时考虑多个生命域时,多通道序列分析(MSA)和扩展字母表(EA)方法是最常用的策略。我们使用由四个生活领域(同居状态、子女、职业状态、健康)组成的真实数据来比较这两种方法,并且我们专注于聚类,因为序列分析通常旨在识别序列中的典型模式。由于职业地位轨迹以及他们与其他领域的潜在关系在男性和女性之间被证明是不同的,因此这些分析是按性别分开进行的。我们一步一步地描述所遵循的方法和判断类型学相关性的不同标准。这两种方法都不明显优越,而且用这两种方式获得的类型学往往很接近。然而,即使MSA通常更容易使用并适用于更广泛的情况,EA也可以在特定情况下提供原始类型,因此我们提出了根据上下文在两种方法之间进行选择的指南。
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来源期刊
CiteScore
2.50
自引率
11.10%
发文量
43
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