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

Author

Listed:
  • Sarah M. Flood

    (University of Minnesota, Twin Cities)

  • Rachelle Hill

    (U.S. Census Bureau)

  • Katie R. Genadek

    (University of Minnesota, Twin Cities)

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.

Suggested Citation

  • Sarah M. Flood & Rachelle Hill & Katie R. Genadek, 2018. "Daily Temporal Pathways: A Latent Class Approach to Time Diary Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 117-142, January.
    • Handle: RePEc:spr:soinre:v:135:y:2018:i:1:d:10.1007_s11205-016-1469-0
    DOI: 10.1007/s11205-016-1469-0
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    2. Leanne S. Giordono & June Flora & Chad Zanocco & Hilary Boudet, 2022. "Food Practice Lifestyles: Identification and Implications for Energy Sustainability," IJERPH, MDPI, vol. 19(9), pages 1-19, May.

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