In Search of the Harried Leisure Class in Contemporary Society: Time-Use Surveys and Patterns of Leisure Time Consumption

Glorieux, Ignace; Laurijssen, Ilse; Minnen, Joeri; Tienoven, Theun Pieter van

doi:10.1007/s10603-010-9124-7

Cited by 36 publications

(36 citation statements)

References 26 publications

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“…Our research is most similar to the work of researchers using sequence analysis (Glorieux et al 2008, 2010; Hellgren 2014; Lesnard 2004, 2008; Lesnard and de Saint Pol 2009; Lesnard and Kan 2011; Minnen et al 2015). Like these scholars, we use the detailed activity data available from time diaries to analyze sequences of activities.…”

Section: Introductionsupporting

confidence: 77%

“…Though women have more leisure episodes than men, the leisure episode of the longest duration for women is shorter, on average, than men’s longest leisure episode; women’s leisure episodes are also more likely to be accompanied by unpaid work (Bittman and Wajcman 2000). The timing and sequence approach considers the overlap/non-overlap between work schedules (Lesnard 2004, 2008), typical work patterns (Glorieux et al 2008; Hellgren 2014; Lesnard and de Saint Pol 2009; Lesnard and Kan 2011; Minnen et al 2015), and leisure patterns (Glorieux et al 2010) to understand what and for whom different sequencing patterns exist.…”

Section: Introductionmentioning

confidence: 99%

“…Whereas most previous research using sequence analysis has examined patterns in paid work, however, our goal is broader, seeking to identify patterns among four broader types of time meant to identify similarities across types of activity as opposed to focusing one type of time that renders the other types of activities invisible. Glorieux et al (2010) take the most similar approach using Flemish time diary data from 1999 and 2004 and identifying sequences of activities that cluster together to show similar patterns of time use throughout the day. Their focus is on how individuals spend their time with an emphasis on leisure and, as such, they compare the respondents whose activities belong to two leisure classes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

2016

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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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Section: Introductionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2016

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“…This work has shown that various types of consumption (e.g., eating, television watching) tend to occur at certain times of the day for most people. However, this work has also shown that different temporal patterns of consumption hold for different groups of people (34).…”

Section: Temporal Patterning Of Everyday Lifementioning

confidence: 69%

Patterns of everyday activities across social contexts

Vagni

Cornwell

2018

Proc. Natl. Acad. Sci. U.S.A.

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Social-scientific theory and research give rise to conflicting expectations regarding the extent to which individuals' everyday lives in modern society follow predictable patterns of behavior. Much previous research has addressed this issue implicitly by documenting widespread trends in patterns of "time use" or "time allocation," including trends in time devoted to paid work, unpaid work, and leisure. This study expands on this research by examining common patterns with respect to not how much time individuals spend on certain everyday activities (e.g., leisure), but rather how those activities are sequenced throughout the day. Using sequence methods and cluster analysis, we analyze a large collection of harmonized time diaries from the Multinational Time Use Study (MTUS), including diaries from 23 countries and dating back to 1961. Our analysis of these diaries reveals eight common everyday sequence patterns-including different paid work, unpaid work, and leisure clusters. This same set of patterns reappears in a generally similar distribution across the different countries and time periods that are included in the MTUS sequence data. This study has implications for how analysts study time diary data and raises important questions about the causes and consequences of individuals' experiences with particular behavioral sequences.

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“…Indeed, following the large-scale Multinational Time Budget Research Project that was conducted in the 1960s (Szalai et al 1972), a considerable number of countries began funding national time use surveys on a regular basis, resulting in a broad pool of data from developed as well as developing countries. Time diary data are increasingly used for a wide range of analytic purposes, such as documenting the shifting balance between paid and unpaid work (Gershuny 2000), changing lifestyles and consumer behavior (Glorieux et al 2010), parental childcare practices and children’s daily life (Bianchi and Robinson 1997; Hofferth and Sandberg 2001), and urban planning (Harvey 2002). Policies promoting gender equality, environmental protection, and quality of life have greatly benefited from time diary evidence, prompting international agencies such as the United Nations and the International Labour Organization to recommend the regular collection of time use surveys (United Nations Economic Commission for Europe 2013).…”

Section: Introductionmentioning

confidence: 99%

Using New Technologies for Time Diary Data Collection: Instrument Design and Data Quality Findings from a Mixed-Mode Pilot Survey

Chatzitheochari

Fisher

Gilbert³

et al. 2017

Soc Indic Res

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Recent years have witnessed a steady growth of time-use research, driven by the increased research and policy interest in population activity patterns and their associations with long-term outcomes. There is recent interest in moving beyond traditional paper-administered time diaries to use new technologies for data collection in order to reduce respondent burden and administration costs, and to improve data quality. This paper presents two novel diary instruments that were employed by a large-scale multi-disciplinary cohort study in order to obtain information on the time allocation of adolescents in the United Kingdom. A web-administered diary and a smartphone app were created, and a mixed-mode data collection approach was followed: cohort members were asked to choose between these two modes, and those who were unable or refused to use the web/app modes were offered a paper diary. Using data from a pilot survey of 86 participants, we examine diary data quality indicators across the three modes. Results suggest that the web and app modes yield an overall better time diary data quality than the paper mode, with a higher proportion of diaries with complete activity and contextual information. Results also show that the web and app modes yield a comparable number of activity episodes to the paper mode. These results suggest that the use of new technologies can improve diary data quality. Future research using larger samples should systematically investigate selection and measurement effects in mixed-mode time-use survey designs.

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In Search of the Harried Leisure Class in Contemporary Society: Time-Use Surveys and Patterns of Leisure Time Consumption

Abstract: Time-use patterns, Leisure time consumption, Optimal matching, Harried leisure class, Work-leisure paradoxes,

Cited by 36 publications

References 26 publications

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

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

Patterns of everyday activities across social contexts

Using New Technologies for Time Diary Data Collection: Instrument Design and Data Quality Findings from a Mixed-Mode Pilot Survey

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