In the literature, self-report scales of Self-Esteem (SE) often showed a higher test-retest correlation and a lower situational variability compared to implicit measures. Moreover, several studies showed a close to zero implicit-explicit correlation. Applying a latent state-trait (LST) model on a sample of 95 participants (80 females, mean age: 22.49 ± 6.77 years) assessed at five measurement occasions, the present study aims at decomposing latent trait, latent state residual, and measurement error of the SE Implicit Association Test (SE-IAT). Moreover, in order to compare implicit and explicit variance components, a multi-construct LST was analyzed across two occasions, including both the SE-IAT and the Rosenberg Self-Esteem Scale (RSES). Results revealed that: (1) the amounts of state and trait variance in the SE-IAT were rather similar; (2) explicit SE showed a higher consistency, a lower occasion-specificity, and a lower proportion of error variance than SE-IAT; (3) latent traits of explicit and implicit SE showed a positive and significant correlation of moderate size. Theoretical implications for the implicit measurement of self-esteem were discussed.

Applying the latent state-trait analysis to decompose state, trait, and error components of the self-esteem implicit association test / Dentale, Francesco; Vecchione, Michele; Ghezzi, Valerio; Barbaranelli, Claudio. - In: EUROPEAN JOURNAL OF PSYCHOLOGICAL ASSESSMENT. - ISSN 2151-2426. - ELETTRONICO. - 35:1(2019), pp. 78-85. [10.1027/1015-5759/a000378]

Applying the latent state-trait analysis to decompose state, trait, and error components of the self-esteem implicit association test

DENTALE, francesco;VECCHIONE, MICHELE;GHEZZI, VALERIO;BARBARANELLI, Claudio
2019

Abstract

In the literature, self-report scales of Self-Esteem (SE) often showed a higher test-retest correlation and a lower situational variability compared to implicit measures. Moreover, several studies showed a close to zero implicit-explicit correlation. Applying a latent state-trait (LST) model on a sample of 95 participants (80 females, mean age: 22.49 ± 6.77 years) assessed at five measurement occasions, the present study aims at decomposing latent trait, latent state residual, and measurement error of the SE Implicit Association Test (SE-IAT). Moreover, in order to compare implicit and explicit variance components, a multi-construct LST was analyzed across two occasions, including both the SE-IAT and the Rosenberg Self-Esteem Scale (RSES). Results revealed that: (1) the amounts of state and trait variance in the SE-IAT were rather similar; (2) explicit SE showed a higher consistency, a lower occasion-specificity, and a lower proportion of error variance than SE-IAT; (3) latent traits of explicit and implicit SE showed a positive and significant correlation of moderate size. Theoretical implications for the implicit measurement of self-esteem were discussed.
2019
implicit measurement; IAT; latent state-trait; Rosenberg; self-esteem
01 Pubblicazione su rivista::01a Articolo in rivista
Applying the latent state-trait analysis to decompose state, trait, and error components of the self-esteem implicit association test / Dentale, Francesco; Vecchione, Michele; Ghezzi, Valerio; Barbaranelli, Claudio. - In: EUROPEAN JOURNAL OF PSYCHOLOGICAL ASSESSMENT. - ISSN 2151-2426. - ELETTRONICO. - 35:1(2019), pp. 78-85. [10.1027/1015-5759/a000378]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/938994
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