Daily Temporal Pathways

A Latent Class Approach to Time Diary Data

Sarah M. Flood, Rachelle Hill, Katie R. Genadek

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)117-142
Number of pages26
JournalSocial Indicators Research
Volume135
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

sleep
Leisure Activities
Sleep
organization
Demography
time
Pathway
Diary
Research
Social Organization
Leisure
Daily Life
Demographics
Social Theory
Latent Class Analysis

Keywords

  • Daily life
  • Latent class analysis
  • Pathways
  • Time use

PubMed: MeSH publication types

  • Journal Article

Cite this

Daily Temporal Pathways : A Latent Class Approach to Time Diary Data. / Flood, Sarah M.; Hill, Rachelle; Genadek, Katie R.

In: Social Indicators Research, Vol. 135, No. 1, 01.01.2018, p. 117-142.

Research output: Contribution to journalArticle

Flood, Sarah M. ; Hill, Rachelle ; Genadek, Katie R. / Daily Temporal Pathways : A Latent Class Approach to Time Diary Data. In: Social Indicators Research. 2018 ; Vol. 135, No. 1. pp. 117-142.
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