Medidas Implícitas en Cognición: Una Aproximación al Estudio de la Automaticidad

• Parra, José Alirio ^[1] ; Tamayo, Ricardo Mauricio ^[1]
  1. [1] Universidad Nacional de Colombia

     Universidad Nacional de Colombia

     Colombia

     
• Localización: Revista Colombiana de Psicología, ISSN-e 0121-5469, Vol. 30, N. 1, 2021 (Ejemplar dedicado a: Revista Colombiana de Psicología), págs. 88-110
• Idioma: español
• DOI: 10.15446/rcp.v30n1.85106
• Títulos paralelos:
  • Implicit Measures in Cognition: An Approach to the Study of Automaticity
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 5 Citas
• Resumen
  • español

    La investigación en cognición implícita ha aumentado de manera vertiginosa durante las últimas décadas, principalmente por el uso generalizado de procedimientos experimentales conocidos como medidas implícitas. A diferencia de los cuestionarios de autoinforme, estas metodologías impiden que sesgos como la deseabilidad social afecten las respuestas de los participantes, lo que permite abordar temas sensibles. Sin embargo, las medidas implícitas difieren en aspectos como las instrucciones, los materiales o los indicadores conductuales analizados. Debido a esto, hay controversia sobre la naturaleza de los procesos que están siendo medidos, las características que se les atribuyen y, por ende, la posibilidad de hacer comparaciones entre los estudios que emplean diferentes medidas implícitas. Basándose en un modelo de procesamiento dual, este trabajo propone que las medidas implícitas pueden entenderse como indicadores de procesos automáticos. A partir de dicha propuesta, se discuten los requisitos que las medidas implícitas deben cumplir y algunos desafíos para la investigación en automaticidad.

      Cómo citar este artículo: Parra, J. A., & Tamayo, R. M. (2021). Medidas Implícitas en Cognición: una Aproximación al Estudio de la Automaticidad. Revista Colombiana de Psicología, 30(1), 89-110. https://doi.org/10.15446/rcp.v30n1.85106

  • English

    The research on implicit cognition has increased dramatically over the past few decades, mainly because of the widespread use of experimental procedures known as implicit measurements. In contrast to self-report questionnaires, these methodologies prevent biases as social desirability from affecting participants’ responses, allowing sensitive issues to be addressed. However, the implicit measures differ in central aspects as the instructions, materials, or behavioral indicators analyzed. For those reasons, there is controversy about the nature of the processes being measured, the characteristics attributed to them, and, therefore, the possibility of making comparisons between studies that use different implicit measures. Based on a dual processing model, this paper proposes that implicit measures can be understood as indicators of automatic processes. Finally, we will discuss the requirements that implicit measures must satisfy, and some challenges for research in automaticity.

      How to cite this article: Parra, J. A., & Tamayo, R. M. (2021). Implicit Measures in Cognition: An Approach to the Study of Automaticity. Revista Colombiana de Psicología, 30(1), 89-110. https://doi.org/10.15446/rcp.v30n1.85106

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