Life satisfaction and domain satisfaction: A systematic review and meta-analysis of longitudinal studies

The goal of this meta-analysis was to improve the understanding of life satisfaction and domain satisfaction, by synthesizing the available longitudinal data. First, we meta-analyzed the stability of individual differences in these constructs, using multilevel mixed-effects models. Second, we meta-analyzed their concurrent associations, using multilevel random-effects models. Third, we tested for their prospective effects, using two types of models with different modeling assumptions (cross-lagged panel models, dynamic panel models). We included seven domain satisfactions (e.g., romantic relationships, health). Data came from 98 samples, including 252,647 participants. The results indicated high rank-order stability of life satisfaction and domain satisfaction and moderate to strong concurrent correlations between these constructs. Hence, the results support the notion that life satisfaction and domain satisfaction can be understood as trait-like characteristics and are substantially associated with each other. As regards their prospective effects, however, the two models suggested a different pattern of findings. More precisely, the findings indicated that controlling for stable-between differences in the dynamic panel models altered the overall pattern of prospective effects. This suggests that explanations other than reciprocal effects should be considered and examined in future research (e.g., genetics, dispositions) and highlights the crucial role of modeling decisions when analyzing cross-lagged effects.

Authors

Institutions

Publication Details

Journal
European Journal of Personality
Published
2026-03-04
DOI
https://doi.org/10.1177/08902070261423578
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Life satisfaction and domain satisfaction: A systematic review and meta-analysis of longitudinal studies

Louisa Scheling, Oliver Lüdtke, Janina Larissa Bühler, Jasmin A Aebi et al.
European Journal of Personality
Psychological Well-being and Life Satisfaction
article

Life satisfaction and domain satisfaction: A systematic review and meta-analysis of longitudinal studies

Louisa Scheling, Oliver Lüdtke, Janina Larissa Bühler, Jasmin A Aebi, Ulrich Orth
article en

Abstract

The goal of this meta-analysis was to improve the understanding of life satisfaction and domain satisfaction, by synthesizing the available longitudinal data. First, we meta-analyzed the stability of individual differences in these constructs, using multilevel mixed-effects models. Second, we meta-analyzed their concurrent associations, using multilevel random-effects models. Third, we tested for their prospective effects, using two types of models with different modeling assumptions (cross-lagged panel models, dynamic panel models). We included seven domain satisfactions (e.g., romantic relationships, health). Data came from 98 samples, including 252,647 participants. The results indicated high rank-order stability of life satisfaction and domain satisfaction and moderate to strong concurrent correlations between these constructs. Hence, the results support the notion that life satisfaction and domain satisfaction can be understood as trait-like characteristics and are substantially associated with each other. As regards their prospective effects, however, the two models suggested a different pattern of findings. More precisely, the findings indicated that controlling for stable-between differences in the dynamic panel models altered the overall pattern of prospective effects. This suggests that explanations other than reciprocal effects should be considered and examined in future research (e.g., genetics, dispositions) and highlights the crucial role of modeling decisions when analyzing cross-lagged effects.

European Journal of Personality
University of Bern (CH), University of Freiburg (DE), Leibniz Institute for Science and Mathematics Education (DE)
Openalex Percentile: Top 37%
Psychological Well-being and Life Satisfaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.