Developing and Validating a Facial Emotion Recognition Task With Graded Intensity.

Facial emotion recognition (FER) tasks are often digitally altered to vary expression intensity; however, such tasks have unknown psychometric properties. In these studies, an FER task was developed and validated—the Graded Emotional Face Task (GEFT)—which provided an opportunity to examine the psyc...

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Publicado en:Assessment Vol. 30; no. 3; pp. 761 - 782
Autores principales: Williams, Trevor F., Vehabovic, Niko, Simms, Leonard J.
Formato: pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. Apr2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2023
      vid: 30
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Developing and Validating a Facial Emotion Recognition Task With Graded Intensity.
      aug:
        au:
          Williams, Trevor F.
          Vehabovic, Niko
          Simms, Leonard J.
        affil: University at Buffalo, The State University of New York, USA
      sug:
        subj:
          Face Perception Evaluation
          Emotions Evaluation
          Task Performance and Analysis
          Instrument Construction
          Clinical Assessment Tools
          Instrument Validation
          Psychometrics
          Human
          Validation Studies
          Anger Evaluation
          Students, Undergraduate
          Algorithms
          Internal Consistency
          Sex Factors
          Ethnic Groups
          Borderline Personality Disorder
          Self Report
          Reliability and Validity
      ab: Facial emotion recognition (FER) tasks are often digitally altered to vary expression intensity; however, such tasks have unknown psychometric properties. In these studies, an FER task was developed and validated—the Graded Emotional Face Task (GEFT)—which provided an opportunity to examine the psychometric properties of such tasks. Facial expressions were altered to produce five intensity levels for six emotions (e.g., 40% anger). In Study 1, 224 undergraduates viewed subsets of these faces and labeled the expressions. An item selection algorithm was used to maximize internal consistency and balance gender and ethnicity. In Study 2, 219 undergraduates completed the final GEFT and a multimethod battery of validity measures. Finally, in Study 3, 407 undergraduates oversampled for borderline personality disorder (BPD) completed the GEFT and a self-report BPD measure. Broad FER scales (e.g., overall anger) demonstrated evidence of reliability and validity; however, more specific subscales (e.g., 40% anger) had more variable psychometric properties. Notably, ceiling/floor effects appeared to decrease both internal consistency and limit external validity correlations. The findings are discussed from the perspective of measurement issues in the social cognition literature.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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