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Functioning of the EROS-R Scale in a Clinical Sample of Psychiatric Patients: New Psychometric Evidence from the Classical Test Theory and the Item Response Theory

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  • Lindsey W. Vilca

    (South American Center for Education and Research in Public Health, Universidad Norbert Wiener, Lima 15011, Peru)

  • Evelyn L. Chambi-Mamani

    (Department of Psychology, Universidad Peruana Unión, Lima 15472, Peru)

  • Emely D. Quispe-Kana

    (Department of Psychology, Universidad Peruana Unión, Lima 15472, Peru)

  • Mónica Hernández-López

    (Department of Psychology, Universidad de Jaén, 23071 Jaén, Spain)

  • Tomás Caycho-Rodríguez

    (Facultad de Ciencias de la Salud, Carrera de Psicología, Universidad Privada del Norte, Lima 15314, Peru)

Abstract

Reliable and valid assessment instruments that can be applied briefly and easily in clinical and outpatient settings that provide information about the sources of reinforcement that the patient finds in his life are especially relevant in therapy. The study aimed to evaluate the psychometric properties of the Environmental Reward Observation Scale (EROS-R) in a sample of psychiatric patients. A sample of 228 psychiatric patients of both sexes (56.1% men and 43.9% women) aged between 18 and 70 years was selected. Along with the EROS-R, other instruments were administered to assess depression and anxiety. The results show that the scale fits a unidimensional model, presenting adequate fit indices (RMSEA = 0.077 (IC 90% 0.055–0.100); SRMR = 0.048; CFI = 0.98; TLI = 0.98). It was also shown that the degree of reward provided by the environment (EROS-R) correlates negatively with the level of depression ( ρ = −0.54; p < 0.01) and anxiety ( ρ = −0.34; p < 0.01). From the IRT perspective, all the items present adequate discrimination indices, where item 4 is the most precise indicator to measure the degree of environmental reward. All this leads us to conclude that the EROS-R is an instrument with robust psychometric guarantees from TCT and IRT’s perspectives, making it suitable for use in clinical contexts.

Suggested Citation

  • Lindsey W. Vilca & Evelyn L. Chambi-Mamani & Emely D. Quispe-Kana & Mónica Hernández-López & Tomás Caycho-Rodríguez, 2022. "Functioning of the EROS-R Scale in a Clinical Sample of Psychiatric Patients: New Psychometric Evidence from the Classical Test Theory and the Item Response Theory," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10062-:d:888385
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    References listed on IDEAS

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    1. Samuel Green & Yanyun Yang, 2009. "Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 155-167, March.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Rizopoulos, Dimitris, 2006. "ltm: An R Package for Latent Variable Modeling and Item Response Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i05).
    4. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    5. Peter Bentler, 2009. "Alpha, Dimension-Free, and Model-Based Internal Consistency Reliability," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 137-143, March.
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    7. Patricia Otero & Isabel Hita & Ángela J. Torres & Fernando L. Vázquez, 2020. "Brief Psychological Intervention Through Mobile App and Conference Calls for the Prevention of Depression in Non-Professional Caregivers: A Pilot Study," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
    8. Carmela Martínez-Vispo & Rubén Rodríguez-Cano & Ana López-Durán & Carmen Senra & Elena Fernández del Río & Elisardo Becoña, 2019. "Cognitive-behavioral treatment with behavioral activation for smoking cessation: Randomized controlled trial," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-20, April.
    9. Lou Safra & Coralie Chevallier & Stefano Palminteri, 2019. "Depressive symptoms are associated with blunted reward learning in social contexts," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-22, July.
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