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Global self-esteem across the life span: a cross-sectional comparison between representative and self-selected
Helle Pullmann1, Jüri Allik, Anu Realo
1Department of Psychology, University of Tartu, Tartu, Estonia. helle.pullmann@ut.ee
This study on Estonian adults found that global self-esteem trajectories across the lifespan differ from previous research. Internet recruitment methods may bias self-esteem data compared to random sampling.
Area of Science:
- Psychology
- Sociology
- Demography
Background:
- Understanding the trajectory of global self-esteem across the lifespan is crucial for developmental psychology.
- Previous research has suggested a universal age-related pattern in self-esteem.
Purpose of the Study:
- To examine the cross-sectional trajectory of global self-esteem across the lifespan in a large Estonian sample.
- To compare data collection methods (random sampling vs. internet self-recruitment) for self-esteem research.
- To investigate whether different self-esteem measures show similar age-related patterns.
Main Methods:
- Administered Rosenberg Self-Esteem Scale and Single-Item Self-Esteem Scale to 29,463 Estonians.
- Utilized both random sampling from the National Census and internet self-recruitment for participant acquisition.
- Performed variance component analysis to assess age differences relative to interindividual differences and measurement error.
Main Results:
- The observed age trajectory of self-esteem challenges the conclusion of a universal pattern.
- Internet self-recruitment yielded biased data compared to random sampling methods.
- Different self-esteem items exhibited dissimilar trajectories across age groups.
- Age-related differences in self-esteem were found to be small relative to individual differences and measurement error.
Conclusions:
- The assumption of a universal self-esteem trajectory across the lifespan is not supported.
- Methodological choices, such as recruitment strategy, significantly impact self-esteem research findings.
- Self-esteem measurement instruments may capture distinct developmental patterns.
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