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Stability and Change of Well-Being

Stability and Change of Well-Being. Ulrich Schimmack Ivana Anusic University of Toronto Mississauga ARP Meeting, 2008. Data for Illustration German Socio-Economic Panel (SOEP) Deutsches Institut f ür Wirtschaftsforschung (DIW) National Representative Sample

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Stability and Change of Well-Being

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  1. Stability and Change of Well-Being Ulrich SchimmackIvana Anusic University of TorontoMississauga ARP Meeting, 2008

  2. Data for Illustration German Socio-Economic Panel (SOEP) Deutsches Institut für Wirtschaftsforschung (DIW) National Representative Sample Annual Surveys (1984 - ongoing) N = 272,901 observations (1987-2005, 19 waves)

  3. Age Differences Linear relation with age, r = -.04, r2 = .002 Non-linear relation with age, r2 = .006 Mean Trends Over Time Linear relation with year, r = .00, r2 = .00 Non-linear relation with year, r2 = .004 Conclusion Sample means do not change very much over time or with age. It is save to ignore average trends in these data!

  4. Trait / Error Model(Personality / Social Model)

  5. Prediction of Trait/Error Model Retest correlations are independent of time interval.

  6. Change Model:Linear Growth 'Curve' Model

  7. Prediction of Model Retest correlations will turn negative!

  8. Change Model 2'Lasting' Change Model

  9. Prediction of Model Retest correlation decrease with increasing time interval until they reach zero.rtt = (Annual Stability)Interval * Reliability AS = .96, AS2 = .92, Rel = .55, New Variance = 4%

  10. Trait/State/Error Model Personality/Development/Social Model rtt = ((Trait) + (1-Trait)*[(Annual Stability)Interval]) * Reliability S (90% Error) D P Trait = .42, State = .58, AS-S = .89, Rel = .58New Variance, (1 - .42 - (1-.892) * .58 = 7%

  11. General Conclusions * Life-Satisfaction is not a trait. * Life-satisfaction is influenced by a trait (~50%). * Annual stability is very high. Future Questions * Are some changes permanent? * Understanding the causal mechanism that produce stability and change.

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