Emotion Recognition Index item analysis: validation study from Item Response Theory perspective
DOI:
https://doi.org/10.5902/2179460X40513Keywords:
Item Response Theory, Emotion Recognition Index, Emotions, Facial expressions, Nonverbal behaviorAbstract
Background: The Emotion Recognition Index (ERI) is a psychometric tool develop to evaluate emotional perception. Its items were selected using Classical Tests Theory. Objectives and Methods: Evaluate ERI items performance under current psychometric theories, using Item Response Theory (IRT) thought a two parameter logistic model. Results: 12 items were removed from the Face Module to fulfill the unidimensionality assumption. 20 items were eliminated from the Voice Module because they presented low discrimination values. Both modules presented information curves peaks among low latent trait values. Discussion: Findings suggest ERI is mostly composed of low difficulty items. ERI is best used to evaluate individuals with low emotional perception. Authors suggest further studies should use IRT to select items for instruments evaluating emotional perception.
Downloads
References
ANDRADE DF, TAVARES HR, VALLE RC. Teoria da resposta ao item: conceitos e aplicações. São Paulo: ABE - Associação Brasileira de Estatística, 2000.
BAKER FB. Item response theory parameter estimation techniques, Marcel Dekker, New York, 1992.
BIEHL M, MATSUMOTO D, EKMAN P, HEARN V, HEIDER K, KUDOH T, TON V. Matsumoto and Ekman's Japanese and Caucasian Facial Expressions of Emotion (JACFEE): Reliability Data and Cross-National Differences. Journal of Nonverbal Behavior. 1997, Volume 21(1): 3.
DE AYALA RJ. The Theory and Practice of Item Response Theory. The Guilford Press, New York Wiley, 2009
EKMAN P, FRIESEN E. Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto, 1978.
EKMAN P. Emotions revealed. New York: Times Book, 2003.
EKMAN P. A Linguagem das Emoções; São Paulo: Lua de Papel, 2011.
GAZZANIGA MS, IVRY RB, MANGUN GR. Neurociência cognitiva. Porto Alegre: Artmed. 2006.
KANG W, KIM G, KIM H, LEE SH. A influência da ansiedade no reconhecimento da emoção facial depende da categoria da emoção e da raça dos rostos-alvo. Neurobiology experimental , 2019, 28(2): 261–269.
KNAPP ML, HALL JA. Nonverbal Communication in Human Interaction. 5th ed. Forth Worth, Tex.: Harcourt Brace Jovanovich, 2002
LORENZO-SEVA U, FERRANDO PJ. Manual of the Program Factor. Tarragona, Spain: Departament de Psicologia, Universitat Rovira i Virgili, 2013.
LUNDQVIST D, ÖHMAN A. Caught by the evil eye. In L. F. Barrett, P. M. Niedenthal, & P. Winkielman (Eds.), Emotion and consciousness 2005: 97-122.
MIGUEL FK. Psicologia das emoções: uma proposta integrativa para compreender a expressão emocional. Psico-USF, 2015, 20(1): 153-162.
MOREIRA JUNIOR FJ. A utilização da teoria da resposta ao item como ferramenta para a construção de escalas na área de gestão. Revista Gestão Organizacional, 2014, 6: 143-159.
PICARD RW. Affective Computing. MIT Press, Cambridge, EUA, 1997.
PARTCHEV I. Package irtoys: Simple interface to the estimation and plotting of IRT models, 2013. R package version 0.1.7, 2015.
PLUTCHIK R. Emotions and life: Perspectives from psychology, biology and evolution. Washington, DC: American Psychological Association, 2002.
R DEVELOPMENT CORE TEAM. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, 2013.
RIZOPOULOS D. Package ltm: Latent Trait Models under IRT, 2013.
PORTER S, TEN BRINKE L, WALLACE B. Secrets and Lies: Involuntary Leakage in Deceptive Facial Expressions as a Function of Emotional Intensity. Journal of Nonverbal Behavior, 2012, (36): 23–37.
SANTOS FA. Comunicação não verbal: identificação de emoções através de expressões faciais na prática da psicologia clínica. 2017. Universidade do Extremo Sul Catarinense, UNESC.
SCHERER KR. Component models of emotion can inform the quest for emotional competence. In G. Matthews, M. Zeidner, & R. D. Roberts (Eds.), The science of emotional intelligence: Knowns and unknowns. New York, NY: Oxford University Press, 2007: 101–126.
SCHERER K, SCHERER U. Assessing the Ability to Recognize Facial and Vocal Expressions of Emotion: Construction and Validation of the Emotion Recognition Index. Journal of Nonverbal Behavior, 2011, (35): 305–326.
TIMMERMAN ME, LORENZO-SEVA U. Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 2011, 16(2): 209–20.
VIEIRA, HAC. O padrão de trajetória visual para o reconhecimento de expressões faciais. 2015. Tese (Doutorado em Ciências do Comportamento) - Universidade de Brasília. Brasília.
Published
How to Cite
Issue
Section
License
To access the DECLARATION AND TRANSFER OF COPYRIGHT AUTHOR’S DECLARATION AND COPYRIGHT LICENSE click here.
Ethical Guidelines for Journal Publication
The Ciência e Natura journal is committed to ensuring ethics in publication and quality of articles.
Conformance to standards of ethical behavior is therefore expected of all parties involved: Authors, Editors, Reviewers, and the Publisher.
In particular,
Authors: Authors should present an objective discussion of the significance of research work as well as sufficient detail and references to permit others to replicate the experiments. Fraudulent or knowingly inaccurate statements constitute unethical behavior and are unacceptable. Review Articles should also be objective, comprehensive, and accurate accounts of the state of the art. The Authors should ensure that their work is entirely original works, and if the work and/or words of others have been used, this has been appropriately acknowledged. Plagiarism in all its forms constitutes unethical publishing behavior and is unacceptable. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behavior and is unacceptable. Authors should not submit articles describing essentially the same research to more than one journal. The corresponding Author should ensure that there is a full consensus of all Co-authors in approving the final version of the paper and its submission for publication.
Editors: Editors should evaluate manuscripts exclusively on the basis of their academic merit. An Editor must not use unpublished information in the editor's own research without the express written consent of the Author. Editors should take reasonable responsive measures when ethical complaints have been presented concerning a submitted manuscript or published paper.
Reviewers: Any manuscripts received for review must be treated as confidential documents. Privileged information or ideas obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should be conducted objectively, and observations should be formulated clearly with supporting arguments, so that Authors can use them for improving the paper. Any selected Reviewer who feels unqualified to review the research reported in a manuscript or knows that its prompt review will be impossible should notify the Editor and excuse himself from the review process. Reviewers should not consider manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the papers.
