NEXUS
发表于 2025-3-26 22:59:48
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艰苦地移动
发表于 2025-3-27 01:10:57
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BARB
发表于 2025-3-27 05:59:23
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琐碎
发表于 2025-3-27 11:32:55
From 07.00 to 22.00: A Dual-Earner Couple’s Typical Day in Italyves 873 couples where both partners filled the given diaries on the very same day. All the analyses confirm the idea that dual-earner couples package their life time mainly in accordance with their jobs and eventual children management. Moreover, the analyses show that this time packaging changes in
一条卷发
发表于 2025-3-27 17:07:34
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interlude
发表于 2025-3-27 21:51:24
2211-7776 l data, especially event history analysis and Markov models..This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the successi
laxative
发表于 2025-3-27 22:03:00
Case Studies of Combining Sequence Analysis and Modellingis allows to use multidimensional and time-dependent criteria either for comparing life patterns of groups of individuals or to extract subgroups for further analysis, the SA outcome may be rather unspecific for causal-like questions.
绝种
发表于 2025-3-28 04:57:38
Sequence Analysis: Where Are We, Where Are We Going?,bbott to date. We then discuss the future of sequence analysis, which, from our point of view, calls for a tighter interaction with other methods for longitudinal data. Lastly, we show how the papers in this bundle set the foundation towards this future.
粗鲁的人
发表于 2025-3-28 09:47:11
Do Different Approaches in Population Science Lead to Divergent or Convergent Models?ory analysis; event-sequences models which lead to sequence analysis; multiple level models which lead to multilevel analysis; social network models which lead to multilevel social-network analysis. It then shows that these models can be classified under some more general concepts: The statistical i
仇恨
发表于 2025-3-28 11:05:44
Case Studies of Combining Sequence Analysis and Modellinge been combined or contrasted when analysing a particular research question. Latent variable hierarchical modelling is used in various ways to account for correlation in multidimensional response variables and to model underlying structures in the life course. We conclude that, while sequence analys