Case studies in combining sequence analysis and modelling
| dc.contributor.author | Mervi Eerola | |
| dc.contributor.organization | fi=tilastotiede|en=Statistics| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.42133013740 | |
| dc.converis.publication-id | 28910789 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/28910789 | |
| dc.date.accessioned | 2022-10-28T12:30:33Z | |
| dc.date.available | 2022-10-28T12:30:33Z | |
| dc.description.abstract | <p>This methodological paper presents three case studies of life course analysis<br />in which the clustering of the sequences and probabilistic modelling have been<br />combined or contrasted when analysing a particular research question. Latent variable<br />hierarchical modelling is used in various ways to account for correlation in<br />multidimensional response variables and to model underlying structures in the life<br />course. We conclude that, while sequence analysis allows to use multidimensional<br />and time-dependent criteria either for comparing life patterns of groups of individuals<br />or to extract subgroups for further analysis, the SA outcome may be rather<br />unspecific for causal-like questions.<br /></p> | |
| dc.format.pagerange | 35 | |
| dc.format.pagerange | 46 | |
| dc.identifier.eisbn | 978-3-319-95420-2 | |
| dc.identifier.isbn | 978-3-319-95419-6 | |
| dc.identifier.issn | 2211-7776 | |
| dc.identifier.olddbid | 176916 | |
| dc.identifier.oldhandle | 10024/160010 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/32612 | |
| dc.identifier.url | https://www.springer.com/gb/book/9783319954196 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042718252 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Eerola, Mervi | |
| dc.okm.discipline | 112 Statistics and probability | en_GB |
| dc.okm.discipline | 112 Tilastotiede | fi_FI |
| dc.okm.internationalcopublication | not an international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A3 Book | |
| dc.publisher | Springer | |
| dc.publisher.isbn | 978-81-322;978-3-540;978-3-642;978-3-662;978-3-7908;978-3-8274;978-3-8347;978-90-481;978-94-007;978-94-009;978-94-010;978-94-011;978-94-015;978-94-017;978-94-024;978-0-387;978-0-8176;978-1-4419;978-1-4612;978-1-4613;978-1-4614;978-1-4615;978-1-4684;978-1-4757;978-1-4899;978-1-4939;978-1-5041;978-3-319;978-1-4020;978-0-85729;978-1-4471;978-1-84628;978-1-84800;978-1-84882;978-1-84996;978-1-85233;978-3-211;978-3-7091;978-4-431;978-3-322;978-3-409;978-3-531;978-3-658;978-3-663;978-3-8100;978-981-287;978-981-10;978-981-13;978-3-030;978-981-32;978-981-15;978-981-16;978-981-329;978-981-334;978-981-336;978-3-031;978-981-19; | |
| dc.relation.ispartofseries | Life Course Research and Social Policies | |
| dc.relation.volume | 10 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/160010 | |
| dc.title | Case studies in combining sequence analysis and modelling | |
| dc.title.book | Sequence Analysis and Related Approaches: Innovative Methods and Applications | |
| dc.year.issued | 2018 |
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