Unpacking the negative welfare effect of social media: Evidence from a large scale nationally representative time-use survey in China

2021 ◽  
pp. 101650
Author(s):  
Te Bao ◽  
Bin Liang ◽  
Yohanes E. Riyanto
Keyword(s):  
Social Media ◽  
Time Use ◽  
Large Scale ◽  
Welfare Effect ◽  
Time Use Survey ◽  
Nationally Representative

scholarly journals 0221 Late Meals, Sleep Duration, and Sleep Fragmentation: Findings From the American Time Use Survey

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A86-A86
Author(s):  
S Iao ◽  
K Shedden ◽  
E C Jansen ◽  
L M O’Brien ◽  
R D Chervin ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Time Use ◽  
Representative Sample ◽  
Sleep Fragmentation ◽  
Published Data ◽  
American Time Use Survey ◽  
Causal Pathways ◽  
Time Use Survey ◽  
Nationally Representative ◽  
The Impact

Abstract Introduction Sleep hygiene recommendations discourage eating close to bedtime, though published data on the impact are not consistent. Associations between eating or drinking, within 1-hour prior to bedtime, sleep duration and sleep fragmentation were examined in a nationally-representative sample. Methods Data from the American Time Use Survey (ATUS), administered to a nationally representative sample of n=201,151 US residents aged ≥15 years were utilized. In an annual phone interview, ATUS participants were asked to record their activities during a 24-hour period (04:00am to 04:00am on the interview day) and were randomly selected to report weekdays or weekend activities. The present analysis included data from 2003–2018 and restricted to weekday respondents (n=124,242). Reporting of eating/drinking activities within 1-hour prior to bedtime was considered as a dichotomous variable (yes/no). Sleep fragmentation was defined as any awakening during the primary sleep episode (yes/no). Linear and logistic regression models, adjusted for age, sex, cohabitation, education and employment, were used to examine associations between eating/drinking and sleep duration or sleep fragmentation. Results In this ATUS sample, 56% of respondents were female and the mean age was 45 years. Mean sleep duration was 8.02 (0.007) hours, and 6% of survey participants ate/drank within 1-hour prior to bedtime. Overall, eating/drinking within 1-hour prior to bedtime was associated with longer sleep duration (p<0.01). Women and men who ate/drank within 1-hour prior to bedtime, in comparison to those who did not, had 35 minutes and 26 minutes longer sleep duration (p- value<0.0001) Eating/drinking activities within 1-hour prior to bedtime were associated with 1.8 higher odds of fragmented sleep (p<0.001). Conclusion In this large population-based survey, weekday eating or drinking within 1-hour prior to bedtime was associated with sleep fragmentation and longer sleep duration. Causal pathways would be difficult to discern, though sleep fragmentation could lead to compensatory increases in sleep duration. Support None

scholarly journals Mode Effects on Data Quality and Measurement in a Mixed-Mode Time-Use Survey

2021 ◽  
Author(s):  
Stella Chatzitheochari ◽  
Elena Mylona
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Time Use ◽  
Mixed Mode ◽  
Large Scale ◽  
New Technologies ◽  
Quality Data ◽  
Mode Effects ◽  
Time Use Survey ◽  
Time Diaries

Recent years have witnessed an increasing interest in the use of new technologies for time-use data collection, driven by their potential to reduce survey administration costs and improve data quality. However, despite the steady growth of studies that employ web and app time diaries, there is little research on their comparability with traditional paper-administered diaries that have long been regarded as the “gold standard” for measurement in time-use research. This paper rectifies this omission by investigating diary mode effects on data quality and measurement, drawing on data from a mixed-mode large-scale time diary study of adolescents in the United Kingdom. After controlling for selection effects, we find that web and app diaries yield higher quality data than paper diaries, which attests to the potential of new technologies in facilitating diary completion. At the same time, our analysis of broad time-use domains does not find substantial mode effects on measurement for the majority of daily activity categories. We conclude by discussing avenues for future methodological research and implications for time-use data collection.

Gender Disparities in Parenting Time Across Activities, Child Ages, and Educational Groups

2018 ◽  
Vol 39 (11) ◽  
pp. 3006-3028 ◽  
Author(s):  
Daniela Veronica Negraia ◽  
Jennifer March Augustine ◽  
Kate Chambers Prickett
Keyword(s):  
Gender Gap ◽  
Time Use ◽  
Gender Disparities ◽  
Developmental Care ◽  
American Time Use Survey ◽  
Time Diary ◽  
Time Use Survey ◽  
Educational Groups ◽  
Nationally Representative ◽  
Changing Attitudes

Although gender gaps in parenting time endure for parents of young children, and in physical and developmental care, men’s changing attitudes toward egalitarian gender roles suggest that gender disparities in parenting time may have closed in some contexts: particularly, in other shared activities with children, when children are school aged or older, and among higher educated parents. We investigate these possibilities using weekday time diary data from a nationally representative survey of parents participating in the American Time Use Survey (2003-2014; N = 28,698). In contrast to our expectations, we find that the gender gap in parents’ time with children persists when children are older, and even grow for some activities; extend to several other forms of shared parent–child time; and is often largest for higher educated parents. At the same time, there are notable contexts in which the gaps disappear, although they encompass the most pleasant activities, and least intensive stages of parenting.

scholarly journals Time Use, Unemployment, and Well-Being: An Empirical Analysis Using British Time-Use Data

2020 ◽  
Author(s):  
Thi Truong An Hoang ◽  
Andreas Knabe
Keyword(s):  
Time Use ◽  
Weighted Average ◽  
Well Being ◽  
Subjective Well Being ◽  
Work Related ◽  
Time Use Survey ◽  
Nationally Representative ◽  
The Uk ◽  
The Unemployed ◽  
Affective Dimensions

Abstract We use nationally representative data from the UK Time-Use Survey 2014/2015 to investigate how a person’s employment status is related to time use and cognitive and affective dimensions of subjective well-being. We do not find clear indications that employed and unemployed persons experience different average levels of emotional well-being when they engage in the same kinds of activities. For the employed, working belongs to one of the least enjoyable activities of their day. They also spend a large share of their time at work and on work-related activities. The unemployed, instead, spend more time on leisure and more enjoyable activities. When looking at duration-weighted average affective well-being over the entire waking time of the day, the unemployed experience, on average, more enjoyment than the employed. For the employed, the more hours they have to work on a specific day, the lower the average enjoyment they experience on that day. Differentiating the analyses by weekdays and weekends supports the finding that being able to freely allocate one’s non-work time is associated with higher levels of affective well-being. In line with previous studies on cognitive well-being, we find that the unemployed report substantially lower levels of life satisfaction than the employed.

scholarly journals Validation of the Social Media Disorder Scale in Adolescents: Findings From a Large-Scale Nationally Representative Sample

Assessment ◽  
2021 ◽  
pp. 107319112110272
Author(s):  
Maartje Boer ◽  
Gonneke W. J. M. Stevens ◽  
Catrin Finkenauer ◽  
Ina M. Koning ◽  
Regina J. J. M. van den Eijnden
Keyword(s):  
Social Media ◽  
Psychometric Properties ◽  
Representative Sample ◽  
Large Scale ◽  
Sleep Problems ◽  
Scale Validation ◽  
Test Information ◽  
The Social ◽  
Nationally Representative ◽  
Validation Research

Large-scale validation research on instruments measuring problematic social media use (SMU) is scarce. Using a nationally representative sample of 6,626 Dutch adolescents aged 12 to 16 years, the present study examined the psychometric properties of the nine-item Social Media Disorder scale. The structural validity was solid, because one underlying factor was identified, with adequate factor loadings. The internal consistency was good, but the test information was most reliable at moderate to high scores on the scale’s continuum. The factor structure was measurement invariant across different subpopulations. Three subgroups were identified, distinguished by low, medium, and high probabilities of endorsing the criteria. Higher levels of problematic SMU were associated with higher probabilities of mental, school, and sleep problems, confirming adequate criterion validity. Girls, lower educated adolescents, 15-year-olds, and non-Western adolescents were most likely to report problematic SMU. Given its good psychometric properties, the scale is suitable for research on problematic SMU among adolescents.

scholarly journals Validation of the Social Media Disorder Scale in Adolescents: Findings from a Large-Scale Nationally Representative Sample

2021 ◽  
Author(s):  
Maartje Boer ◽  
gonneke stevens ◽  
Catrin Finkenauer ◽  
H.M. Koning Ina ◽  
Regina van den Eijnden
Keyword(s):  
Social Media ◽  
Psychometric Properties ◽  
Representative Sample ◽  
Large Scale ◽  
Sleep Problems ◽  
Scale Validation ◽  
Test Information ◽  
The Social ◽  
Nationally Representative ◽  
Validation Research

Large-scale validation research on instruments measuring problematic social media use (SMU) is scarce. Using a nationally representative sample of 6,626 Dutch adolescents aged 12 to 16, the present study examined the psychometric properties of the nine-item Social Media Disorder-scale. The structural validity was solid, because one underlying factor was identified, with adequate factor loadings. The internal consistency was good, but the test information was most reliable at moderate to high scores on the scale’s continuum. The factor structure was measurement invariant across different subpopulations. Three subgroups were identified, distinguished by low, medium, and high probabilities of endorsing the criteria. Higher levels of problematic SMU were associated with higher probabilities of mental, school, and sleep problems, confirming adequate criterion validity. Girls, lower educated adolescents, 15-year-olds, and non-Western adolescents were most likely to report problematic SMU. Given its good psychometric properties, the scale is suitable for research on problematic SMU among adolescents.

scholarly journals Flexplace Work and Partnered Fathers’ Time in Housework and Childcare

2021 ◽  
pp. 1097184X2110149
Author(s):  
Daniel L. Carlson ◽  
Richard J. Petts ◽  
Joanna R. Pepin
Keyword(s):  
Time Use ◽  
Employment Status ◽  
American Time Use Survey ◽  
Housework Time ◽  
Working From Home ◽  
Frequency Of Use ◽  
Time Use Survey ◽  
Nationally Representative ◽  
Work Family ◽  
Using Data

Prior studies that show no association between fathers’ work flexibility and their domestic contributions suffer from measurement limitations and/or the lack of nationally representative data. Using data on fathers in different-sex partnerships (n = 1,956) from the 2017–2018 American Time Use Survey Leave Module, we examine three indicators (use, frequency of use and reason for use) of working from home—a work–family benefit is known as flexplace—and consider whether partners’ employment status moderates the association between flexplace and fathers’ time in domestic labor. Fathers who use flexplace benefits report more routine childcare, regardless of the reason for flexplace use or their partners’ employment status. The association between flexplace use and fathers’ housework time is conditional on their partners’ employment status and fathers’ rationale for working from home.

Triggering Backlash

2020 ◽  
pp. 139-162 ◽  
Author(s):  
Jennifer Pan
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Collective Action ◽  
Large Scale ◽  
Political Trust ◽  
Representative Survey ◽  
Welfare Provision ◽  
Social Media Data ◽  
Nationally Representative ◽  
Media Data

This chapter captures the backlash—increased protests and lower legitimacy—triggered by prioritizing Dibao for targeted populations. The survey of 100 neighborhoods shows that when targeted populations receive Dibao benefits, there is greater contention over Dibao distribution in the neighborhood. Those who are turned away from benefits are more likely to protest and bargain for Dibao. Using large-scale social media data and deep learning to extract unique, off-line collective action events, this chapter shows that welfare-related protests are higher among cities that have a higher level of Dibao provision to targeted populations than cities that have lower levels. Although local administrators are adept at defusing protests, and collective action remains small and localized, people are left resentful and embittered. Data from a nationally representative survey shows that cities with a higher level of Dibao provision to targeted populations have lower assessment of government capabilities, especially in welfare provision and public responsiveness, as well as lower levels of political trust and satisfaction.

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