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Reliability, Validity, and Variability of the Subjective Well-Being Questions in the 2010 American Time Use Survey

Overview of attention for article published in Social Indicators Research, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 policy source
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3 X users
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1 Facebook page

Citations

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30 Dimensions

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52 Mendeley
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Title
Reliability, Validity, and Variability of the Subjective Well-Being Questions in the 2010 American Time Use Survey
Published in
Social Indicators Research, February 2015
DOI 10.1007/s11205-015-0923-8
Pubmed ID
Authors

Yoonjoo Lee, Sandra L. Hofferth, Sarah M. Flood, Kimberly Fisher

Abstract

Part of a wider range of investigations to produce generally acceptable standards for measuring affective well-being, time diary surveys have tested several approaches to measuring subjective well-being during diary days. As an alternative to the standard approach of asking a single question about each activity reported in time diary surveys, the 2010 module of the American Time Use Survey asked six emotion questions about three activities. The perception questions captured how happy, meaningful, sad, tired, stressed, or in pain respondents felt on a 7-point scale. To evaluate this approach, our research examined the reliability and validity of the six emotion questions, and assessed their variability across activities. Using principal component analysis, we assessed the associations among items and obtained two activity-level components with Cronbach's alphas of 0.68 and 0.59 and two respondent-level components with Cronbach's alphas of 0.74 and 0.65. To test validity, we regressed self-rated health on the underlying components and socio-demographic controls. Both of the respondent level components were significantly associated with better health (odds ratio 1.81, 1.27). Using each of the perceptions individually, we found that happiness, meaningfulness, and lack of fatigue, stress, and pain were related to better health, but none as strongly as the first component. Finally, we examined the coefficients of variation to assess the variability in the well-being measures across activities. Measurement implications and limitations of this study are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 9 17%
Student > Master 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 8 15%
Unknown 12 23%
Readers by discipline Count As %
Social Sciences 21 40%
Psychology 4 8%
Nursing and Health Professions 3 6%
Economics, Econometrics and Finance 3 6%
Business, Management and Accounting 2 4%
Other 5 10%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2019.
All research outputs
#5,646,415
of 22,793,427 outputs
Outputs from Social Indicators Research
#512
of 1,729 outputs
Outputs of similar age
#63,410
of 255,869 outputs
Outputs of similar age from Social Indicators Research
#11
of 42 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,729 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 255,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.