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Social Indicators Research

Erschienen in:

15.10.2016

Daily Temporal Pathways: A Latent Class Approach to Time Diary Data

verfasst von: Sarah M. Flood, Rachelle Hill, Katie R. Genadek

Erschienen in: Social Indicators Research | Ausgabe 1/2018

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Abstract

Research on daily time and how it is allocated has generally considered the time spent in specific activities. However, social theory suggests that time use is socially patterned whether by social organization, heterogeneity, and/or stratification. Drawing on four broad types of time (contracted, committed, necessary, and free), we use Multinomial Logit Latent Class Analysis to discuss eight daily temporal pathways and associations with individual characteristics. Our analysis highlights the variations and similarities across pathways, the impact of paid work in structuring daily life, the social patterning of sleep and leisure, and socio-demographic profiles of the pathways of working-age Americans.

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Titel: Daily Temporal Pathways: A Latent Class Approach to Time Diary Data
verfasst von: Sarah M. Flood
Rachelle Hill
Katie R. Genadek
Publikationsdatum: 15.10.2016
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 1/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-016-1469-0

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