Stability and Change of Well Being: An Experimentally Enhanced Latent State-Trait-Error Analysis

Schimmack, Ulrich; Krause, Peter; Wagner, Gert G.; Schupp, Jürgen

doi:10.1007/s11205-009-9443-8

“…For example, subjective well-being correlates with objective measures of well-being such as the heart rate, blood pressure, frequency of Duchenne smiles and neurological tests of brain activity (Blanchflower and Oswald, 2004;van Reekum et al, 2007). Moreover, subjective measures of well-being are strongly correlated with other proxies of subjective well-being (Schwarz and Strack, 1999;Wanous and Hudy, 2001;Schimmack et al, 2010) and with judgements about the respondent's happiness provided by friends, relatives or clinical experts (Schneider and Schimmack, 2009;Kahneman and Krueger, 2006;Layard, 2005). The fact that researchers can trust the information from self-reported assessments of well-being allowed a burgeoning body of research that involved many social sciences, including economics.…”

Section: Methodsmentioning

confidence: 99%

Online Networks and Subjective Well‐Being

Sabatini¹,

Sarracino²

2017

Kyklos

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. 1 Abstract Does Facebook make people lonely and unhappy? Empirical studies have produced conflicting results about the effect of social networking sites (SNS) use on individual welfare. We use a representative sample of the Italian population to investigate how actual and virtual networks of social relationships influence subjective well-being (SWB). We find a significantly negative correlation between online networking and self-reported happiness. We address endogeneity in online networking by exploiting technological characteristics of the pre-existing voice telecommunication infrastructures that exogenously determined the availability of broadband for high-speed Internet. We try to further disentangle the direct effect of SNS use on well-being from the indirect effect possibly caused by the impact of SNS's on trust and sociability in a SEM analysis. We find that online networking plays a positive role in SWB through its impact on physical interactions. On the other hand, SNS use is associated with lower social trust, which is in turn positively correlated with SWB. The overall effect of networking on individual welfare is significantly negative. Terms of use: Documents in

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“…"; Schimmack, Krause, Wagner, & Schupp, 2009), with answers given on a 0 to 10 scale (0 = completely dissatisfied, 10 = completely satisfied).…”

Section: Personality Variablesmentioning

confidence: 99%

Examining the “Veggie” personality: Results from a representative German sample

Pfeiler

¹

,

Egloff

²

2018

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly. Terms of use: Documents inAny opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. Author NoteCorrespondence should be addressed to: Tamara M. Pfeiler, Department of Psychology, Johannes Gutenberg University Mainz, Binger Str. 14-16, 55099 Mainz, Germany. E-mail:pfeiler@uni-mainz.de. EXAMINING THE VEGGIE PERSONALITY 3 AbstractAn increasing proportion of people choose to follow a vegetarian diet. To date, however, little is known about if and how individual differences in personality relate to following a vegetarian diet.In the two studies presented here, we aimed to (1) estimate the prevalence of self-defined vegetarians in two waves of a German representative sample (N = 4,496 and 5,125, respectively), (2) analyze the effect of socio-demographic variables on dietary behavior, and (3) examine individual differences between vegetarians and meat eaters in personality traits, political attitudes, and health-related variables. In Study 1, a strict definition of vegetarians was used, while in Study 2 the definition was laxer, to include also individuals who only predominantly followed a vegetarian diet. The prevalence of self-defined vegetarians was 2.74% in Study 1, and 5.97% in Study 2. Participants who were female, younger, and more educated were more likely to report following a vegetarian diet in both studies, and vegetarians had higher income as compared to meat eaters in Study 2. We also found differences between vegetarians and meat eaters with regard to personality traits, political attitudes, and health-related variables. Stepwise logistic regression analyses showed a unique effect beyond socio-demographic variables for openness (Studies 1 and 2), conscientiousness (Study 1), trust (Study 2), conservatism (Studies 1 and ...

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“…Data from 2006 and 2007 were used to examine the retest reliability of measures that were administered in both years. This is especially important for global life-satisfaction because this single item measure has a relatively low reliability of about .6 (Schimmack, Wagner, Krause, & Schupp, 2007).…”

Section: Methodsmentioning

confidence: 99%

Measuring Wellbeing in the SOEP

Schimmack

¹

2008

Self Cite

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SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly. Since its inception 25 years ago, the SOEP has included cognitive measures of wellbeing. In 2007, the SOEP included four items (happy, sad, angry, afraid) as an affective measure of wellbeing. This paper examines similarities and differences between cognitive and affective measures of wellbeing. In the end, I propose a wellbeing index that combines information from measures of life satisfaction, average domain satisfaction, and affect balance.

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Stability and Change of Well Being: An Experimentally Enhanced Latent State-Trait-Error Analysis

Abstract: Life satisfaction, Domain satisfaction, Well being, Stability, Change, Set point, Disposition, State, Trait,

Cited by 97 publications

References 29 publications

Online Networks and Subjective Well‐Being

Online Networks and Subjective Well‐Being

Examining the “Veggie” personality: Results from a representative German sample

Measuring Wellbeing in the SOEP

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