{"title":"Comparison of two approaches in multichannel sequence analysis using the Swiss Household Panel.","authors":"Kevin Emery, André Berchtold","doi":"10.1332/175795921X16698302233894","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":" ","pages":"592-623"},"PeriodicalIF":16.4000,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1332/175795921X16698302233894","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.