Automatic Thinking Questionnaire (ATQ-8): New evidence based on CFA, IRT, and SEM

Authors

DOI:

https://doi.org/10.35670/1667-4545.v23.n1.41010

Keywords:

thinking, psychometrics, university student, psychological research, cognition

Abstract

The present study aims at providing psychometric properties of the ATQ-8 in a Peruvian students sample. We worked with a non-probabilistic sample of 217 university students (68.7% women). Along with the ATQ-8, instruments to measure anxiety, depression, satisfaction with life, and mindfulness were used. Confirmatory factor analysis found an adequate fit of the one-dimensional model (CFI = .99, GFI = .99, RMSEA = .07, SRMR = .03). Likewise, alpha (.91) and omega (.90) reliability indices were obtained, which show adequate internal consistency. On the other hand, the items showed acceptable levels of discrimination (a) and difficulty (b) monotonous. The association of the ATQ-8 with other variables showed a statistically significant relationship with the DASS-21 (depression and anxiety), satisfaction with life (SWLS) and mindfulness (MAAS-5). The results show an adequate psychometric adjustment that supports its use in university students and for scientific research purposes.

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Author Biographies

  • Wilson Alexis Becerra Herrera, Universidad de Autónoma del Perú

    Licenciado en Psicología. Maestrando el Máster Oficial en Investigación en Ciencias del Comportamiento en la Universidad de Huelva, España. Miembro del Semillero Latinoamericano de Investigación en Salud Mental (SLISM).

  • Andy Robinson Quispe Escobar, Universidad Privada del Norte

    Licenciado en Psicología. Director de Diseño Digital y Comunicaciones en la Asociación Interdisciplinaria de Estudiantes-Egresados sobre Discapacidad e Inclusión (AIEDI). Miembro del Semillero Latinoamericano de Investigación en Salud Mental (SLISM).

  • Eduardo Enrique Cárcamo Zepeda, Universidad Nacional Autónoma de Honduras

    Estudiante de la Licenciatura en Psicología. Miembro de la Sociedad Estudiantil de Investigación en Psicología (SEIP) de la Escuela de Ciencias Psicológicas. SLISM.

  • Aylin Del Carmen Torres Guffanti, Universidad Privada del Norte

    Bachiller en Psicología. Psicóloga del Servicio de Doble Excepcionalidad en CODIGGO - Altas Capacidades. Miembro del Semillero Latinoamericano de Investigación en Salud Mental (SLISM). Miembro de Chapter Perú Sociedad de Neurociencia.

  • Daniel Edgardo Yupanqui Lorenzo, Universidad de Ciencias y Humanidades

    Licenciado en Psicología y Magister en Docencia Universitaria. Coordinador de la Unidad de Investigación de la Facultad de Ciencias de la Salud de la Universidad de Ciencias y Humanidades. Miembro del Semillero Latinoamericano de Investigación en Salud Mental (SLISM).

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Published

2023-04-26

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Investigaciones originales

How to Cite

Automatic Thinking Questionnaire (ATQ-8): New evidence based on CFA, IRT, and SEM. (2023). Revista Evaluar, 23(1), 51-60. https://doi.org/10.35670/1667-4545.v23.n1.41010