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ERIC Number: EJ1137627
Record Type: Journal
Publication Date: 2017-Mar
Pages: 36
Abstractor: As Provided
ISSN: ISSN-0049-1241
Joint Sequence Analysis: Association and Clustering
Piccarreta, Raffaella
Sociological Methods & Research, v46 n2 p252-287 Mar 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of domains are interrelated and their joint analysis justified. Also, we discuss about the quality of the results obtained using joint sequence analysis. In particular, we focus on cluster analysis and propose criteria to assess whether clusters obtained using a joint approach satisfactorily describe each domain.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: British Household Panel Survey
Grant or Contract Numbers: N/A