Abstract
Background: The Emotional and Affective Composite Temperament (AFECT) model describes originally six traits of volition, anger, inhibition (fear and caution subordinate factors), control, sensitivity, and coping. However, fear and caution have shown opposite relatioships with criteria-variables, indicating factor independence. Objective: The current investigation aimed to advance in the evaluation of the psychometric properties of the emotional trait section of the Emotional and Affective Composite Temperament Scale (AFECTS) by examining the suitability of a 7-factor structure and the reliability of each scale using data from a population-based sample. Methods: AFECTS was administered via face-to-face assessments in a single-session, population-based cross-sectional survey. Samples was composed of teenagers and adults (14 to 35 years). The latent structure and reliability were analyzed via structural equation modeling: confirmatory factor analysis was used to test the a priori correlated 7-factor model (with fear and caution designed as single-factors) and trait-scores reliability was assessed by the estimation of information curves. Results: Findings attested the suitability of the 7-factor model presumed to underline the item set of the traits section of AFECTS and information curve interpretation showed adequate levels of reliability for all trait-scores. Discussion: The 7-factor model showed robust indicators of construct validity for the AFECTS.
Highlights
The Affective and Emotional Composite Temperament model[1] (AFECT) is a revised and expanded version of the Fear and Anger model[2,3]
The current investigation aimed to advance in the evaluation of the psychometric properties of the emotional trait section of the Emotional and Affective Composite Temperament Scale (AFECTS) by examining the suitability of a 7-factor structure and the reliability of each scale using data from a population-based sample
The latent structure and reliability were analyzed via structural equation modeling: confirmatory factor analysis was used to test the a priori correlated 7-factor model and trait-scores reliability was assessed by the estimation of information curves
Summary
The Affective and Emotional Composite Temperament model[1] (AFECT) is a revised and expanded version of the Fear and Anger model[2,3]. The Fear and Anger model conceived temperament with two independent traits of emotional activation (drive and anger) and inhibition (fear and caution)[2,3] This bifactor model had many implications for the understanding of psychopathology: it, anticipated a basic framework of predisposition to most mental disorders, which included a conceptual map to understand comorbidity patterns[2,3]. The aim of the Fear and Anger model was to offer a conceptual framework that could inform clinical assessment and therapeutics to mental heath professionals This bidimensional model was unable to account for neuropsychological domains keen for the understanding of emotion regulation, including the functions accountable for the modulation of activating and inhibiting behavior. Discussion: The 7-factor model showed robust indicators of construct validity for the AFECTS
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