Denissen · Journal of personality and social psychology 2008 · multi-level observational study · n=?

Self-esteem reactions to social interactions: evidence for sociometer mechanisms across days, people, and nations.

Cited 240 times in the scientific literature.

Level 3 - non-randomized controlled study

Level 3 by design analogy (prospective daily diary/cross-lagged longitudinal and cross-national observational study)

PubMed 18605859 · doi:10.1037/0022-3514.95.1.181 · record verified 2026-08-26

What was done

The authors evaluated sociometer theory predictions across three hierarchical levels: intraindividual, interindividual, and international. Social interaction indicators (quantity, quality, and their interaction across friends, family, and romantic partners) were assessed against self-esteem. Analyses included daily longitudinal monitoring with cross-lagged modeling, trait-level individual comparisons, and a cross-national comparative analysis controlling for happiness, individualism, gross domestic product, and neuroticism.

What was found

The abstract reports directional findings without numerical values, effect sizes, or test statistics. Relationship quality and the quantity-by-quality interaction significantly predicted daily fluctuations in self-esteem, with cross-lagged analyses suggesting social inclusion affects subsequent self-esteem. Higher relationship quality was associated with higher trait self-esteem across individuals. Internationally, nations with more frequent social interactions with friends exhibited higher nationwide self-esteem after covariate adjustment.

Why it matters

This work supports sociometer theory by showing that social inclusion and relationship quality relate to self-esteem concurrently across micro-level daily states, individual personality differences, and macro-level cultural contexts.

Limits

The abstract provides no sample sizes for participants or nations, nor any numerical effect sizes, p-values, or confidence intervals. The observational design relies on self-reported social metrics, and the cross-national component carries inherent risks of ecological confounding.

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