On the importance of time diary data and introduction to a special issue on time use research

2014 ◽  
Vol 12 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Almudena Sevilla
Keyword(s):  
Time Use ◽  
Special Issue ◽  
Time Diary ◽  
Diary Data ◽  
Time Use Research

scholarly journals Tagebuch versus Zeitschätzung. Ein Vergleich zweier unterschiedlicher Methoden zur Messung der Zeitverwendung für Hausarbeit

2007 ◽  
Vol 19 (1) ◽  
pp. 106-128
Author(s):  
Florian Schulz ◽  
Daniela Grunow
Keyword(s):  
Pilot Study ◽  
Time Use ◽  
Measurement Techniques ◽  
Time Budgets ◽  
Time Diary ◽  
Diary Data ◽  
Survey Questions ◽  
Gender Specific

Ein Vergleich der Ergebnisse von Zeitverwendungstagebüchern und Zeitschätzungen lässt Zweifel an der bislang aufrecht erhaltenen Annahme aufkommen, beide Methoden wären lediglich zwei verschiedene Wege zur validen Messung individueller Zeitbudgets. Auf der Basis eines eigens für diesen Methodenvergleich erhobenen Datensatzes wird gezeigt, dass die auf Grundlage beider Erhebungstechniken gewonnenen Daten signifikant unterschiedliche Ergebnisse hervorbringen und folglich zu unterschiedlichen theoretischen Schlussfolgerungen in Bezug auf die Determinanten geschlechtsspezifischer Zeitverwendungsmuster für Hausarbeit führen würden. Abstract A comparison of time-diary data and data obtained through survey questions leaves us to doubt that both methods are just two different ways of measuring individual time budgets validly. Comparing data of a unique pilot study for assessing methodological concerns of time use measurement, we find that both measurement techniques produce significantly different results that would eventually lead to substantially different conclusions with respect to the determinants of gender specific housework patterns.

scholarly journals Does Parental Separation Affect Children’s Time Use? Evidence from Longitudinal Time-Diary Data

2020 ◽  
Author(s):  
Tomas Cano ◽  
Pablo Gracia
Keyword(s):  
Time Use ◽  
Fixed Effects ◽  
Family Policy ◽  
Developmental Time ◽  
Parental Separation ◽  
Negative Consequences ◽  
Life Chances ◽  
Time Diary ◽  
Diary Data ◽  
Before And After

How children use their time is critical for their health, emotional, and cognitive development. Studies typically find that parental divorce lowers child development, due to a decline in parents’ monetary and time resources. Yet, little is known on how parental separation affects child time use. This study fills this relevant knowledge gap by using prospective time-diary data from the Longitudinal Study of Australian Children (LSAC), a unique survey following children’s time use across six waves (N = 14,862 observations from 3,719 children). Results from both random and fixed effects models provide four main findings: (i) mother-child time increases dramatically after parental separation, at the expense of children’s time with two parents, while father-child time stays low both before and after parental separation; (ii) after parental separation, children slightly decrease their time in educational activities and increase substantially their time in unstructured activities; (iii) boys’ developmental time use is harmed by parental separation to a higher degree than girls’; and (iv) parents in high socio-economic backgrounds tend to compensate more effectively for the potential negative consequences of divorce by investing more time in children, compared to parents in unprivileged social backgrounds. Our findings have important implications for family policy. Results point to the need of spreading joint custody to improve gender equality in parental childcare time after divorce, as well as promoting greater support for boys and disadvantaged families in dealing with the adverse effects of parental union dissolution on children’s daily routines, development, and life chances.

scholarly journals Physical Activity and Perceived Health: Can Time Diary Measures of Momentary Well-Being Inform the Association?

2018 ◽  
pp. 1-22 ◽  
Author(s):  
Sandra L. Hofferth ◽  
Sarah M. Flood ◽  
Deborah Carr ◽  
Yoonjoo Lee
Keyword(s):  
Physical Activity ◽  
Time Use ◽  
Well Being ◽  
American Time Use Survey ◽  
Self Rated Health ◽  
Time Diary ◽  
Diary Data ◽  
Time Use Survey ◽  
Reported Health ◽  
Actual Health

The association between physical activity and health is well documented, yet prior research has largely ignored the context of physical activity, including its specific type and the emotions experienced while engaged in that activity. This study used interview-based time diary data on 24,016 individuals who participated in the American Time Use Survey well-being modules in 2010, 2012, and 2013 to examine the associations between sedentary and moderately vigorous activities and self-reported health, and the extent to which momentary well-being modifies that association. Respondents who engaged in housework, leisure, or play with children reported better health whereas those who engaged in sedentary activity reported worse self-rated health. Respondents who spent more time in housework reported better health, but this was not the case for leisure or playing with children. Greater positive mood and fewer somatic symptoms while engaged in activity were associated with better self-rated health, with more consistent associations for symptoms than mood. Respondent reports of momentary well-being did not explain the link between activities and perceived or actual health.

Time-Use Metadata

2002 ◽  
Vol 1804 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Andrew S. Harvey
Keyword(s):  
Time Use ◽  
Travel Behavior ◽  
Activity Data ◽  
Efficient Manner ◽  
Time Diary ◽  
Diary Data ◽  
Variable Level ◽  
Metadata Standards ◽  
Behavior Analysts

Time-diary data provide a complete sequential record of all activities of individuals, including travel, for a period of 24 or 48 h or longer. Hence, time-use data have much to offer travel behavior analysts and modelers. The pool of time-use data is rapidly increasing. Additionally, comparability between time-use data and travel data is growing, largely because of the expanding volume of activity data collected in travel surveys. One challenge is to ensure that the data and time-use, travel, and other researchers can be brought together in the most efficient manner. This task requires the development of both study-level and variable-level metadata standards. Much work, providing a basis for the development of time-use metadata standards, has already been undertaken in collateral fields. Arguments are made for exploration, application, and expansion of existing work, to establish time-use metadata standards. A consolidation of efforts is proposed between time-use and travel behavior data professionals to ensure that each field has the optimum opportunity to identify, locate, evaluate, and access useful data in either field.

scholarly journals Advancing Health-Related Cluster Analysis Methodology: Quantification of Pairwise Activity Cluster Similarities

2015 ◽  
Vol 12 (3) ◽  
pp. 395-401
Author(s):  
Katia Ferrar ◽  
Carol Maher ◽  
John Petkov ◽  
Tim Olds
Keyword(s):  
Cluster Analysis ◽  
New Zealand ◽  
Health Behavior ◽  
Time Use ◽  
Research Process ◽  
Vector Length ◽  
Analysis Methodology ◽  
Health Related ◽  
Activity Cluster ◽  
Time Use Research

Background:To date, most health-related time-use research has investigated behaviors in isolation; more recently, however, researchers have begun to conceptualize behaviors in the form of multidimensional patterns or clusters.Methods:The study employed 2 techniques: radar graphs and centroid vector length, angles and distance to quantify pairwise time-use cluster similarities among adolescents living in Australia (N = 1853) and in New Zealand (N = 679).Results:Based on radar graph shape, 2 pairs of clusters were similar for both boys and girls. Using vector angles (VA), vector length (VL) and centroid distances (CD), 1 pair for each sex was considered most similar (boys: VA = 63°, VL = 44 and 50 units, and CD = 48 units; girls: VA = 23°, VL = 65 and 85 units, and CD = 36 units). Both methods employed to determine similarity had strengths and weaknesses. Conclusions: The description and quantification of cluster similarity is an important step in the research process. An ability to track and compare clusters may provide greater understanding of complex multidimensional relationships, and in relation to health behavior clusters, present opportunities to monitor and to intervene.

Free Time as a Resource

Free Time ◽  
2016 ◽  
Author(s):  
Julie L. Rose
Keyword(s):  
Time Use ◽  
Basic Needs ◽  
Free Time ◽  
Individual Responsibility ◽  
Definition Of ◽  
Egalitarian Justice ◽  
Time Use Research

This chapter argues that free time—defined as the time not committed to meeting one's own or one's dependents' basic needs—is a resource to which citizens could plausibly have claims in a public and feasible liberal egalitarian justice. To develop the idea of free time as a resource, the chapter begins with the recognition that time itself is a resource. It then discusses three ways, drawn from time-use research, of defining free time: as time not engaged in typically necessary activities, as time not engaged in subjectively necessary activities, and as time not engaged in objectively necessary activities. It also considers how a formulation of free time might address issues of individual responsibility and asserts that the typically necessary and subjectively necessary definitions of free time are not appropriately understood as resources in the relevant sense. The chapter concludes by proposing a particular objective definition of free time.

scholarly journals Spot phone calls: A new method for measuring time use

2020 ◽  
Vol 13 (2) ◽  
pp. 205979912094204
Author(s):  
Lucia Aline Rost
Keyword(s):  
Time Use ◽  
New Method ◽  
Measuring Time ◽  
Seasonal Differences ◽  
Unpaid Care ◽  
Phone Calls ◽  
Adults And Children ◽  
Research Questions ◽  
Larger Sample ◽  
Time Use Research

Time-use research can provide important insights for different research questions. However, many time-use measures do not capture seasonal differences, qualitative dimensions of time use, and activities that are considered less ‘important’ or ‘desirable’. To address these issues, this article proposes spot phone calls as a new method for measuring time use. The spot phone calls methodology was piloted as part of a research project on time use of adults and children in northern Uganda. In different periods of the year, participants were called on their phones at different times of the day to be asked about their time use. The method was cost and time effective and made it possible to identify and understand seasonal differences in time use. It captured emotional and relational aspects of time use and accounted for activities that were undercounted in other measures, such as ‘doing nothing’ and men’s participation in unpaid care and domestic work. This article calls for the method to be tested with a larger sample.

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