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

Sarah M. Flood (), Rachelle Hill and Katie R. Genadek
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Sarah M. Flood: University of Minnesota, Twin Cities
Rachelle Hill: U.S. Census Bureau
Katie R. Genadek: University of Minnesota, Twin Cities

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2018, vol. 135, issue 1, No 6, 117-142

Abstract: 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.

Keywords: Daily life; Latent class analysis; Pathways; Time use (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11205-016-1469-0

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