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...
| Publicado en: | Assessment Vol. 30; no. 3; pp. 761 - 782 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162328488&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162328488 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10731911 G70 jtl: Assessment issn: 10731911 maglogo: Y pubinfo: dt: Apr2023 vid: 30 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 162328488 154531117 162328488 162328488 10.1177/10731911211068084 162328488 ppf: 761 ppct: 21 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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