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Órgano Oficial del Sistema Mexicano de Investigación en Psicología (SMIP)

2018, Number 1

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Rev Mex Invest Psic 2018; 10 (1)

Construct Validity of a Measure Assessing Depression and Emotional Regulation

Moscoso MS, Merino-Soto C, Oblitas-Guadalupe L, Puerta-Morales L, Leon-Jacobus A

Language: Spanish
References: 46
Page: 1-16
PDF size: 952.89 Kb.


ABSTRACT

The main purpose of this research is to report the construct validity and internal consistency of the Multicultural State- Trait Depression Inventory, based on the Confirmatory Factor Analysis (CFA) and structural equation modeling. Provided that the utilization of our measure is oriented towards the study of depression in a normal population, the analyses were carried out on a sample of 446 adult university students at Barranquilla, Colombia. Based on the CFA analyses, two models were examined: the bifactor model and the correlated oblique model on each of the sub-scales: state and trait. The analyses performed on this Colombian sample suggest two inverse correlated factors namely, distress and eustress, both identified by items that described positive and negative cognitions and emotions. The goodness of fit index and adjusted goodness of fit index for the oblique factors of the state sub-scale were reasonable: CFI = .984, RMSEA = .047 (CI 90% = .034, .060), NFI = .943, SRMR = .064. The goodness of fit index and adjusted goodness of fit index for the oblique factors of the trait sub-scale were highly satisfactory: SB-χ2 (gl: 53) = 63.555 (p › 0.05), CFI = .993, RMSEA = .021 (CI 90% = .000, .038), NFI = .988, SRMR = .053. Confirmatory factor analysis indicates there is evidence of two inversely correlated dimensions (distress and eustress) in both state and trait sub-scales. These findings suggest that conceptualizing depression as a bidimensional construct that highly relates to an emotional dysregulation is very helpful to better understand its components, dynamics, and relationship with other variables that afiect the course of this mental disorder.


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