Psychometric analysis of the beck anxiety inventory (bai) in Peruvian university students from south Lima
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Keywords

Anxiety
Psychometric properties
Measurement
Undergraduate students

How to Cite

Basauri Delgado, M. A., Chirio Aldazabal, D. B., & Colonia Zevallos, F. A. (2023). Psychometric analysis of the beck anxiety inventory (bai) in Peruvian university students from south Lima. Revista De Psicología, 12(2), 51–70. https://doi.org/10.36901/psicologia.v12i2.1571

Abstract

The aim of the study was to perform a psychometric analysis of the Beck Anxiety Inventory (BAI) translated by Vizioli and Pagano (2020) in 478 Peruvian university students from Lima Sur, aged 17 to 33 years (M = 24.1; SD = 5.24). The results showed that the bifactor model was a better fit (X2/gl = 1.54, CFI = .975, NNFI = .968, RMSEA = .048, SRMR = .058) in comparison to the 2-factor model. It was concluded that the best factorial model is the bifactor model, assuming both a general anxiety and two factors: cognitive and somatic, being considered as evidence for further research.

https://doi.org/10.36901/psicologia.v12i2.1571
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References

Ato, M., López, J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. http:// dx.doi.org/10.6018/analesps.29.3.178511

Bardhoshi, G., Duncan, K., & Erford, B. (2016). Psychometric meta-analysis of the english version of the Beck Anxiety Inventory. Journal of Counseling & Development, 94(3), 356-373. https://doi.org/10.1002/jcad.12090

Beck, A., Epstein, N., Brown, G., & Steer, R. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(1), 893-897.

Beck, A., Rush, A., Shaw, B., & Emery, G. (2010). Terapia cognitiva de la depresión (19ª ed.). Desclée De Brower.

Beck, A., & Steer, R. (1991). Relationship between the Beck Anxiety Inventory and the Hamilton Anxiety Rating Scale with anxious outpatients. Journal of Anxiety Disorders, 5(1), 213-223.

Beck, A.T., & Steer, R.A. (2011). Manual. BAI. Inventario de Ansiedad de Beck (Adaptación española de Sanz, J.). Pearson Educación.

Beck, A., Wright, C., Newman C., & Liese, B. (1999). Terapia cognitiva de las drogodependencias. Paidós.

Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. https://doi.org/10.1037/0033-2909.107.2.238

Chapman, L., Williams, S., Mast, B., & Woodruff-Borden, J. (2009). A confirmatory factor analysis of the Beck Anxiety Inventory in African American and European American young adults. Journal of Anxiety Disorders, 23(1), 387-392.

Chen, F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464-504. https://doi.org/10.1080/10705510701301834

Clark, D., & Beck, A. (2010). Terapia cognitiva para trastornos de ansiedad: Ciencia y práctica: Desclée de Brouwer.

Colegio de Psicólogos del Perú (2017). Código de ética y deontología. Colegio de Psicólogos del Perú. http://api.cpsp.io/public/documents/codigo_de_etica_y_ deontologia.pdf

Contreras, S., Fernandez, S., Malcarne, V., Ingram, R., & Voccarino, V. (2004). Reliability and validity of the Beck Depression and Anxiety Inventories in caucasian Americans and Latinos. Hispanic Journal of Behavioral Sciences, 26(4), 446-462. http://doi.org/10.1177/0739986304269164

Dimitrov, D. (2017). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43(2), 121-149. https://doi.org/10.1177/0748175610373459

Domínguez-Lara, S., & Rodríguez, A. (2017). Índices estadísticos de modelos bifactor. Interacciones, 3(2), 59-65. http://doi.org/10.24016/2017.v3n2.51

Epskamp, S., Stuber, S., Nak, J., Veenman, M., & Jorgensen, T. (2019). SemPlot: Path

Diagrams and Visual Analysis of Various SEM Packages’ Output (Version 1.1. 2)

[Computer software]. R package version 0.3-1

Escobedo, M., Hernández, J., Estebané, V., & Martínez, G. (2016). Modelos de ecuaciones estructurales: Características, fases, construcción, aplicación y resultados. Ciencia y Trabajo, 18(55), 16-22. https://scielo.conicyt.cl/pdf/cyt/v18n55/art04.pdf

Ferrando, P., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles del Psicólogo, 31(1), 18-33. https://dialnet. unirioja.es/servlet/articulo?codigo=3150810

Flora, D. (2020). Your coefficient alpha is probably wrong, but which coefficient omega is right? A tutorial on using R to obtain better reliability estimates. Advances in Methods and Practices in Psychological Science, 3(4), 484-501. https://doi. org/10.1177/2515245920951747

Freiberg, A., Stover, J., de la Iglesia, G., & Fernández, M. (2013). Correlaciones policóricas y tetracóricas en estudios exploratorios y confirmatorios. Ciencias Psicológicas, 7(2), 151-164. http://www.scielo.edu.uy/pdf/cp/v7n2/v7n2a05.pdf

Gignac, G. (2016). The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better. Intelligence, 55(1), 57-68. http://doi.

org/10.1016/j.intell.2016.01.006

Hayton, J., Allen, D., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7(1), 191-205. https://doi.org/10.1177/1094428104263675

Jorgensen, T., Pornprasertmanit, S., Schoemann, A., Rosseel, Y., Miller, P., Quick, C., & Garnier-Villarreal, M. (2018). SemTools: Useful tools for structural equation modeling. R package version 0.5-1.

Kline, R. (2011). Principles and practice of structural equation modeling (3ª ed.). Guilford Press.

Latorre, J., Navarro, B., Parra, M., Salguero, J., Mae, C., & Cano, V. (2012). Evaluación e intervención de los problemas de ansiedad y depresión en atención primaria: Un problema sin resolver. Revista Clínica de Medicina Familiar, 5(1), 37-45. https:// bit.ly/3EmO83W

Ledesma, R., Ferrando, P., & Tosi, J. (2019). Uso del análisis factorial exploratorio en

RIDEP. Recomendaciones para autores y revisores. Revista Iberoamericana de

Diagnóstico y Evaluación Psicológica, 52(3), 173-180. https://doi.org/10.21865/ RIDEP52.3.13

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, L., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://www.redalyc.org/ pdf/167/16731690031.pdf

Lozano-Vasrgas, A., & Vega-Dienstmaier, J. (2013). Evaluación psicométrica y desarrollo de una versión reducida de una nueva escala de ansiedad en una muestra hospitalaria de Lima, Perú. Revista Peruana de Medicina Experimental y Salud Publica, 30(2), 212-2019. https://bit.ly/3OkS0Hm

Magán, I., Sanz, J., & García-Vera, M. (2008). Psychometric properties of a Spanish version of the Beck Anxiety Inventory (BAI) in general population. The Spanish Journal of Psychology, 11(2), 626-640. https://doi.org/10.1017/S1138741600004637

Nevitt, J., & Hancock, G. (2001). Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling. Structural Equation Modeling, 8(3), 353-377. http://doi.org/10.1207/ S15328007SEM0803_2

Osman, A., Kopper, B., Barrios, F., Osman, J., & Wade, T. (1997). The Beck Anxiety Inventory: reexamination of factor structure and psychometric properties. Journal of Clinical Psychology, 53(1), 7-14.

Otzen, T., & Manterola, C. (2017). Técnicas de muestreo sobre una población a estudio. International Journal of Morphology, 35(1), 227-232. https://bit.ly/3y3OVWv

Padrós-Blázquez, F., Montoya, K., Bravo, M., & Martínez, M. (2020). Propiedades psicométricas del Inventario de Ansiedad de Beck (BAI, Beck Anxiety Inventory) en población general de México. Ansiedad y Estrés, 26(1), 181-187. https://doi. org/10.1016/j.anyes.2020.08.002

Piotrowski, C., & Gallant, N. (2009). Research use of clinical measures for anxiety in the recent psychological literature. Journal of Instructional Psychology, 36(1), 84-86. https://bit.ly/38Lf5m3

Reise, S., Scheines, R., Widaman, K., & Haviland, M. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5-26. http://doi. org/10.1177/0013164412449831

Resnic, P. (2007). Modelos conceptuales del trastorno de ansiedad generalizada: más allá de los criterios diagnósticos. Revista Argentina de Clínica Psicológica, 16(1), 61-67. https://bit.ly/3uQ5iDU

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Copyright (c) 2023 Jorge Luis Román Yauri

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