This study uses longitudinal panel data and short-term retest data from the same respondents in the German Socio-economic Panel to estimate the contribution of state and trait variance to the reliable variance in judgments of life satisfaction and domain satisfaction. The key finding is that state and trait variance contribute approximately…

Using the German Socio-Economic Panel, we examined life-satisfaction and housing satisfaction before and after moving (N = 3,658 participants from 2,162 households) with univariate and bivariate two-intercept two-slope latent growth models. The main findings were (a) a strong and persistent increase in average levels of housing satisfaction, (b)…

This article uses dyadic latent panel analysis (DLPA) to examine environmental influences on well-being. DLPA requires longitudinal dyadic data. It decomposes the observed variance of both members of a dyad into a trait, state, and an error component. Furthermore, state variance is decomposed into initial and new state variance. Total observed…

A meta-analysis of published studies that reported correlations between self-ratings and informant ratings of well-being (life-satisfaction, happiness, positive affect, negative affect) was performed. The average self-informant correlation based on 44 independent samples and 81 correlations for a total of 8,897 participants was r = 0.42 [99%…