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Abstract
This study evaluates the temporal structure of daily self-esteem and the relative contribution of a range of theoretically motivated predictors of daily self-esteem. To assess self-esteem stability, a daily version of the Rosenberg Self-Esteem scale (RSE, Rosenberg, 1965) was administered to 278 undergraduates for five consecutive days. These short-term longitudinal data were analysed using the Trait State Error (TSE) modelling framework. The TSE decomposes multi-wave data into three components: (1) a stable trait component, (2) a state component, and (3) an error component. Significant predictors of the trait component of self-esteem observed across five days were: (1) emotional stability, and (2) the congruence between implicit and explicit self-esteem. Significant predictors of the state components of self-esteem were daily positive and negative events. We discuss the implications of these results for future research concerning self-esteem stability.
Notes
1. Rosenberg (Citation1965) anticipated this: “People with low self-esteem are much more likely than those with high self-esteem to have unstable self-conceptions” (p. 152).
2. Before averaging, all correlations were r-to-z transformed and then averaged across the five days. The resulting weighted values were then z-to-r back transformed.