scholarly journals Measuring Affective Well-Being by the Combination of the Day Reconstruction Method and a Wearable Device: Case Study of an Aging and Depopulating Community in Japan

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Junichirou Ishio ◽  
Naoya Abe
Keyword(s):  
Well Being ◽  
Wearable Device ◽  
Reconstruction Method ◽  
Day Reconstruction Method

scholarly journals Validation of a Measure of Subjective Well-Being: An Abbreviated Version of the Day Reconstruction Method

PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e43887 ◽  
Author(s):  
Marta Miret ◽  
Francisco Félix Caballero ◽  
Arvind Mathur ◽  
Nirmala Naidoo ◽  
Paul Kowal ◽  
...  
Keyword(s):  
Well Being ◽  
Reconstruction Method ◽  
Subjective Well Being ◽  
Day Reconstruction Method

Daily use of time, personal characteristics and experienced well-being

2017 ◽  
Vol 34 (2) ◽  
pp. 96-107 ◽  
Author(s):  
Edgardo Ayala ◽  
David Flores ◽  
Claudia Quintanilla ◽  
Raquel Castaño
Keyword(s):  
Undergraduate Students ◽  
Emotional Experience ◽  
Personal Characteristics ◽  
Well Being ◽  
Integrative Model ◽  
Reconstruction Method ◽  
Day Reconstruction Method ◽  
Content Type ◽  
Contextual Elements ◽  
The Impact

Purpose This paper aims to seek to provide a more comprehensive view of the determinants of experienced well-being by incorporating personal characteristics suggested to be significant predictors of global well-being, such as income, materialism, religiosity, community mindedness and sleep quality (Diener et al., 1999; Frey and Stutzer, 2002), as well as time-use activities (Kahneman and Krueger, 2006) and contextual elements, such as day of the week (Csikszentmihalyi and Hunter, 2003; Kahneman et al., 2004a) and the presence of companions, into a single model of predictive experienced well-being using the day reconstruction method (Kahneman et al., 2004a). Design/methodology/approach The authors applied the day reconstruction method to a sample of 1,823 episodes from 104 undergraduate students at a private university in Mexico to determine time assignment and emotional experience. Data were analyzed using a panel data regression model. Findings It is currently accepted that experienced well-being depends on how people assign their time; however, the results suggest marginal and interaction effects between time assignment and sharing activities with others. Individuals experience an increase in well-being when any activity is done with others, independent of the valence or the duration of the activity. Also, while money does not produce higher well-being, the share of the budget that is spent with others does cause people to experience more well-being. Finally, the results indicate that personal characteristics are equally important to experienced well-being. Research limitations/implications The sample was restricted to students; thus, to achieve external validity, it is necessary to replicate this analysis within different populations as well as groups of different ages and occupations. Originality/value The authors provided an integrative model of experienced well-being that combines personal characteristics, time assignment and contextual factors. In addition, this model provides a more accurate gauge of the impact of personal characteristics on well-being than previous studies by controlling for time assignment and by measuring the impact on experienced, rather than global, well-being.

Time well spent versus a life considered: changing subjective Well-Being in China

2020 ◽  
Author(s):  
By Shu Cai ◽  
Albert Park ◽  
Winnie Yip
Keyword(s):  
Life Satisfaction ◽  
Rural China ◽  
Well Being ◽  
Reconstruction Method ◽  
Subjective Well Being ◽  
Adaptation Theory ◽  
Day Reconstruction Method ◽  
Longitudinal Survey Data ◽  
Experienced Utility ◽  
Positive Feelings

Abstract Using unique longitudinal survey data that employed the Day Reconstruction Method to measure experienced utility (EU) in rural China, this study reveals striking differences in the trends for life satisfaction and EU. We find that reported life satisfaction changed little over the period from 2006 to 2009. However, EU increased significantly during the same period. The improvement in EU is mainly due to more positive feelings about specific activities rather than changes in the time spent on different activities. These findings are consistent with the predictions of aspiration adaptation theory.

scholarly journals Well-Being Correlates of Perceived Positivity Resonance: Evidence From Trait and Episode-Level Assessments

2018 ◽  
Vol 44 (12) ◽  
pp. 1631-1647 ◽  
Author(s):  
Brett C. Major ◽  
Khoa D. Le Nguyen ◽  
Kristjen B. Lundberg ◽  
Barbara L. Fredrickson
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Behavioral Interventions ◽  
Well Being ◽  
Future Research ◽  
Reconstruction Method ◽  
Day Reconstruction Method ◽  
Resonance Theory ◽  
Trait Level ◽  
Mutual Care

Positivity resonance is a type of interpersonal connection characterized by shared positivity, mutual care and concern, and behavioral and biological synchrony. Perceived positivity resonance is hypothesized to be associated with well-being. In three studies ( N = 175, N = 120, N = 173), perceived positivity resonance was assessed at the trait level (Study 1) or the episode level, using the Day Reconstruction Method (Studies 2 and 3). Primary analyses reveal that perceived positivity resonance is associated with flourishing mental health, depressive symptoms, loneliness, and illness symptoms. These associations largely remain statistically significant when controlling for daily pleasant emotions or social interaction more generally. Ancillary analyses in Studies 2 and 3 support the construct validity of the episode-level assessment of perceived positivity resonance. The overall pattern of results is consistent with Positivity Resonance Theory. Discussion centers on avenues for future research and the need for behavioral interventions.

Accounting for the Richness of Daily Activities

2009 ◽  
Vol 20 (8) ◽  
pp. 1000-1008 ◽  
Author(s):  
Mathew P. White ◽  
Paul Dolan
Keyword(s):  
Well Being ◽  
Daily Activities ◽  
Reconstruction Method ◽  
Subjective Well Being ◽  
Day Reconstruction Method ◽  
New Approach ◽  
Affective Component ◽  
Private Behavior ◽  
The Impact

Serious consideration is being given to the impact of private behavior and public policies on people's subjective well-being (SWB). A new approach to measuring well-being, the day reconstruction method (DRM), weights the affective component of daily activities by their duration in order to construct temporal aggregates. However, the DRM neglects the potentially important role of thoughts. By adapting this method to include thoughts as well as feelings, we provide perhaps the most comprehensive measure of SWB to date. We show that some activities relatively low in pleasure (e.g., work and time with children) are nonetheless thought of as rewarding and therefore contribute to overall SWB. Such information may be important to policymakers wishing to promote behaviors that are conducive to a broader conception of SWB.

scholarly journals Informing behavioural policies with data from everyday life

2018 ◽  
pp. 1-19
Author(s):  
LEONHARD K. LADES ◽  
LUCIE MARTIN ◽  
LIAM DELANEY
Keyword(s):  
Everyday Life ◽  
Ecological Validity ◽  
Well Being ◽  
Reconstruction Method ◽  
Subjective Well Being ◽  
Day Reconstruction Method ◽  
Monitoring Tool ◽  
Behavioural Interventions ◽  
Monitoring Tools ◽  
The Everyday

AbstractNaturalistic monitoring tools provide detailed information about people's behaviours and experiences in everyday life. Most naturalistic monitoring research has focused on measuring subjective well-being. This paper discusses how naturalistic monitoring can inform behavioural public policy-making by providing detailed information about everyday decisions and the choice architecture in which these decisions are made. We describe how the Day Reconstruction Method (DRM) – a naturalistic monitoring tool popular in the subjective well-being literature – can be used to: (i) improve ecological validity of behavioural economics; (ii) provide mechanistic evidence of the everyday workings of behavioural interventions; and (iii) help us to better understand people's true preferences. We believe that DRM data on everyday life have great potential to support the design and evaluation of behavioural policies.

scholarly journals A Direct Comparison of the Day Reconstruction Method and the Experience Sampling Method

2019 ◽  
Author(s):  
Richard E. Lucas ◽  
Carol Wallsworth ◽  
Ivana Anusic ◽  
Brent Donnellan
Keyword(s):  
Repeated Measures ◽  
Sampling Method ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Well Being ◽  
Preliminary Evidence ◽  
Reconstruction Method ◽  
Day Reconstruction Method ◽  
The Rich ◽  
Rich Data

The Day Reconstruction Method (DRM) is an approach to measuring well-being that is designed to approximate the rich data that can be obtained from intensive repeated measures designs like those used in the Experience Sampling Method (ESM). Although some preliminary tests of the validity of the DRM have been conducted, these typically focus on agreement between the two methods at very broad levels, rather than focusing on whether the two methods provide similar information at a moment-to-moment level. This paper reports two studies that use ESM and DRM to assess the same moments. Agreement between the two measures varied considerably depending on the focus of the analysis. For aggregate assessments of total time spent in situations and average affect in situations, agreement was high; for between-person differences in time use and experienced affect, agreement varied across situations; and for within-person differences in both situations and affect, agreement was quite low. In addition, we found preliminary evidence that the DRM may be more influenced by expectations regarding the pleasantness of situations as compared to ESM. These results suggest that for many common purposes, the DRM does not provide the same information as ESM.

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