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Psicogente
versión impresa ISSN 0124-0137
Resumen
JIMENEZ-MARTINEZ, Martha Cecilia; GONZALEZ CARO, Sergio David y OROZCO SIABATTO, Angie Nataly. Psychometric properties of a computerized emotional faceword Stroop task. Psicogente [online]. 2023, vol.26, n.49, pp.47-71. Epub 18-Nov-2022. ISSN 0124-0137. https://doi.org/10.17081/psico.26.49.5471.
Objective:
To determine the psychometric properties of a computerized Stroop task of emotional recognition of faces and words in a Colombian population.
Method:
The research was quantitative in nature with an instrumental design of a psychometric type and technological development. The sample was selected for convenience. It was made up of 1172 participants (56,6 % women, 43 % men) between 18 and 25 years of age. They entered a domain to answer the task after reading and giving consent.
Results:
The results showed a favorable internal consistency with a KR-20=0,853 and a McDonald’s Omega coefficient=0,859. A construct validity was obtained from an exploratory factor analysis and a confirmatory factor analysis which presents a structure of six factors and explains 50,32 % of variance. In addition, it presents a convergent validity with a positive Spearman correlation coefficient of 0,522. The reliability and validity indices obtained in the present study make this computerized version a test that can be used in the field of evaluation of processes of attention, working memory and inhibition in non-clinical Colombian adult population.
Discussions:
In conclusion, it was effectively observed that the configuration of the psychological instrument in computer software optimizes data collection since there is more precision in the measurement of response latencies, as well as facilitating data analysis.
Palabras clave : Stroop; facial emotion recognition; validation and psychometric properties.