IAT

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

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).

Assessing positive orientation with the Implicit Association Test

Positive orientation (PO) is a basic predisposition that consists in a positive outlook toward oneself, one’s life, and one’s future, which is associated to many desirable outcomes connected to health and to the general quality of life. We performed a lexical study for identifying a set of markers of PO, developed an Implicit Association Test (the PO-IAT), and investigated its psychometric properties.

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