An Application of the LC-LSTM Framework to the Self-esteem Instability Case

Guido Alessandri (), Michele Vecchione, Brent Donnellan () and John Tisak ()

Psychometrika, 2013, vol. 78, issue 4, 769-792

Abstract: The present research evaluates the stability of self-esteem as assessed by a daily version of the Rosenberg (Society and the adolescent self-image, Princeton University Press, Princeton, 1965 ) general self-esteem scale (RGSE). The scale was administered to 391 undergraduates for five consecutive days. The longitudinal data were analyzed using the integrated LC-LSTM framework that allowed us to evaluate: (1) the measurement invariance of the RGSE, (2) its stability and change across the 5-day assessment period, (3) the amount of variance attributable to stable and transitory latent factors, and (4) the criterion-related validity of these factors. Results provided evidence for measurement invariance, mean-level stability, and rank-order stability of daily self-esteem. Latent state-trait analyses revealed that variances in scores of the RGSE can be decomposed into six components: stable self-esteem (40 %), ephemeral (or temporal-state) variance (36 %), stable negative method variance (9 %), stable positive method variance (4 %), specific variance (1 %) and random error variance (10 %). Moreover, latent factors associated with daily self-esteem were associated with measures of depression, implicit self-esteem, and grade point average. Copyright The Psychometric Society 2013

Keywords: latent state-trait model; self-esteem; implicit self-esteem; measurement invariance; self-esteem instability (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11336-013-9326-4

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