Abstract

A.PARRA, JOSÉ  and  TAMAYO, RICARDO M.. Implicit Measures in Cognition: An Approach to the Study of Automaticity. Rev. colomb. psicol. [online]. 2021, vol.30, n.1, pp.89-110.  Epub May 27, 2021. ISSN 0121-5469.  https://doi.org/10.15446/rcp.v30n1.85106.

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.

Keywords : automaticity; dual process theory; implicit learning; implicit measures; implicit memory.

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