Reciprocal effects between self-esteem and work experiences: A reanalysis of two longitudinal studies

Do people’s work experiences (i.e., work conditions and outcomes) influence their self-esteem, and does people’s self-esteem influence their work experiences? In this preregistered research, data used by Kuster et al. (2013) were reanalyzed using new types of statistical models. Whereas the previous study used the traditional cross-lagged panel model, we used the random intercept cross-lagged panel model and the dynamic panel model, which allow for better control of unmeasured time-invariant confounders, enhancing the validity of causal conclusions. Data came from two longitudinal studies with five assessments over eight months ( N = 663) and three assessments over two years ( N = 600). Thirteen of the 36 cross-lagged paths tested were significant, and all significant effects were in the expected direction: Self-esteem predicted increases in positive outcomes (i.e., coworker justice) and decreases in negative outcomes (e.g., effort-reward imbalance). Positive work variables (e.g., job satisfaction) predicted increases in self-esteem, and negative work variables (e.g., time pressure) predicted decreases in self-esteem. The pattern of findings aligns with theoretical perspectives suggesting reciprocal effects between self-esteem and work experiences. Moderator analyses indicated that effects held across gender. The findings advance the understanding of dynamic self-esteem–work relations and inform interventions that could benefit employees and organizations.

Authors

Institutions

Publication Details

Journal
European Journal of Personality
Published
2026-01-06
DOI
https://doi.org/10.1177/08902070251411574
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reciprocal effects between self-esteem and work experiences: A reanalysis of two longitudinal studies

Laurenz L. Meier, Ulrich R. Orth, Max Lustenberger
European Journal of Personality
Job Satisfaction and Organizational Behavior
article

Reciprocal effects between self-esteem and work experiences: A reanalysis of two longitudinal studies

Laurenz L. Meier, Ulrich R. Orth, Max Lustenberger
article en

Abstract

Do people’s work experiences (i.e., work conditions and outcomes) influence their self-esteem, and does people’s self-esteem influence their work experiences? In this preregistered research, data used by Kuster et al. (2013) were reanalyzed using new types of statistical models. Whereas the previous study used the traditional cross-lagged panel model, we used the random intercept cross-lagged panel model and the dynamic panel model, which allow for better control of unmeasured time-invariant confounders, enhancing the validity of causal conclusions. Data came from two longitudinal studies with five assessments over eight months ( N = 663) and three assessments over two years ( N = 600). Thirteen of the 36 cross-lagged paths tested were significant, and all significant effects were in the expected direction: Self-esteem predicted increases in positive outcomes (i.e., coworker justice) and decreases in negative outcomes (e.g., effort-reward imbalance). Positive work variables (e.g., job satisfaction) predicted increases in self-esteem, and negative work variables (e.g., time pressure) predicted decreases in self-esteem. The pattern of findings aligns with theoretical perspectives suggesting reciprocal effects between self-esteem and work experiences. Moderator analyses indicated that effects held across gender. The findings advance the understanding of dynamic self-esteem–work relations and inform interventions that could benefit employees and organizations.

European Journal of Personality
University of Bern (CH), University of Neuchâtel (CH)
Gender equality
Openalex Percentile: Top 96%
Job Satisfaction and Organizational Behavior
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.