<p>Social cognition processes are essential for successful social interactions and adequate social functioning. One of the most important abilities is emotion recognition. Impairments in those processes have been documented across psychopathologies, leading to a series of difficult outcomes. A commonly used instrument to access those constructs is the Reading the Mind in the Eyes Test (RMET), a measure of decoding emotional states based on perceptual visual information where the respondent selects one of four emotional labels that best describes several black and white images of eyes and eyebrows. However, the instrument itself does not measure the emotional valences of the mental states it presents. Thus, we aim to define the RMET items’ valences based on a Brazilian sample following the study conducted by Hudson and colleagues (<i>Psychological Assessment, 32</i>(7), 623–634, <CitationRef CitationID="CR25">2020</CitationRef>). We recruited 186 Brazilian adults that underwent an online cross-sectional quantitative data collection. From the 36 picture-words pairs, 7 items were classified as neutral, 12 as positive, and 17 as negative, while in the 45 words-only items, 13 were classified as positive, 1 as neutral, and 31 as negative. Our classification showed important differences when compared to the previous study, suggesting that culture models might play an important role in emotional valence classification.</p>

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Emotional Valences in the Reading the Mind in the Eyes Test: A Brazilian Study

  • Laura Canani,
  • Sarah Corrêa de Sales,
  • Raffael Massuda,
  • Letícia S. Czepielewski

摘要

Social cognition processes are essential for successful social interactions and adequate social functioning. One of the most important abilities is emotion recognition. Impairments in those processes have been documented across psychopathologies, leading to a series of difficult outcomes. A commonly used instrument to access those constructs is the Reading the Mind in the Eyes Test (RMET), a measure of decoding emotional states based on perceptual visual information where the respondent selects one of four emotional labels that best describes several black and white images of eyes and eyebrows. However, the instrument itself does not measure the emotional valences of the mental states it presents. Thus, we aim to define the RMET items’ valences based on a Brazilian sample following the study conducted by Hudson and colleagues (Psychological Assessment, 32(7), 623–634, 2020). We recruited 186 Brazilian adults that underwent an online cross-sectional quantitative data collection. From the 36 picture-words pairs, 7 items were classified as neutral, 12 as positive, and 17 as negative, while in the 45 words-only items, 13 were classified as positive, 1 as neutral, and 31 as negative. Our classification showed important differences when compared to the previous study, suggesting that culture models might play an important role in emotional valence classification.