Temporal stability and discriminant validity of the Beck Anxiety Inventory

Authors

DOI:

https://doi.org/10.24265/liberabit.2021.v27n1.03

Keywords:

estabilidade temporal, validade discriminante, BAI, ansiedade, depressão

Abstract

Background: Anxiety disorders are the most prevalent worldwide, followed by depressive disorders. The Beck Anxiety Inventory (BAI; Beck et al., 1988) has been developed to assess the severity of anxiety symptoms and perform a differential diagnosis between anxiety and depression disorders. Objective: To examine the temporal stability of the BAI in its version adapted to Argentina and obtain evidence of discriminant validity. Method: In a sample of 52 people, the intraclass correlation coefficient was analyzed. Then, in a sample of 225 people, a correlation analysis between BAI scores and the Beck Depression Inventory-II (BDI-II; Beck et al., 2006) was performed; subsequently, an exploratory factor analysis (EFA) with reagents from both instruments was conducted and the heterotrait-monotrait ratio of correlations (HTMT) was calculated. Results: The intraclass correlation coefficient was .82 (95% CI = .69 - .90). The correlation between the BAI and the BDI was .56 (moderate effect size). The EFA showed two well-differentiated factors and an HTMT proportion value of .66 (95% CI = .55 - .74) was found. Conclusions: An adequate temporal stability is observed and evidence of the discriminant validity of the instrument is provided.

 

Authorship contribution
AEP: conception and design of the study, interpretation of the data and final revision of the manuscript.
NAV: conception and design of the study, interpretation of the data and final revision of the manuscript.

Downloads

Download data is not yet available.

References

Akoglu, H. (2018). User's guide to correlation coefficients. Turkish journal of emergency medicine, 18(3), 91-93. https://doi.org/10.1016/j.tjem.2018.08.001

Alonso, J., Liu, Z., Evans-Lack, S., Sadikova, E., Sampson, N., Chatterji, S., Abdulmalik, J., Aguilar-Gaxiola, S., Al-Hamzawi, A., Andrade, L., Bruffaerts, R., Cardoso, G., Cia, A., Florescu, S., de Girolamo, G., Gureje, O., Haro, J., He, Y., de Jonge, P., … WHO World Mental Health Survey Collaborators. (2018). Treatment Gap for Anxiety Disorders is Global: Results of the World Mental Health Surveys in 21 Countries. Depression and Anxiety, 35(3), 195-208. https://doi.org/10.1002/da.22711

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5). American Psychological Association.

American Psychological Association (1994). Diagnostic and statistical manual of mental disorders (4°ed). American Psychological Association.

Bardhoshi, G., Duncan, K., & Erford, B. T. (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

Barlow, D. H., Ellard, K. K., & Fairholme, C. P. (2010). Unified protocol for transdiagnostic treatment of emotional disorders: Workbook. Oxford University Press.

Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893–897. https://doi.org/10.1037/0022-006X.56.6.893

Beck A. T, & Steer, R. A. (1993). Manual for the Revised Beck Depression Inventory. Psychological Corporation.

Beck, A. T., Steer, R. A. & Brown, G. K. (2006). Inventario de Depresión de Beck (BDI-II), Manual. Paidós.

Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to Perform and Report an Impactful Analysis Using Partial Least Squares: Guidelines for Confirmatory and Explanatory IS Research. Information & Management, 57(2), 103168. https://doi.org/10.1016/j.im.2019.05.003

Brenlla, M. E. & Rodríguez, C. M. (2006). Adaptación argentina del Inventario de Depresión de Beck (BDI-II). Paidós.

Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.

DeVet, H. C. W., Terwee, C., Mokkink, L. B., & Knol, D. L. (2011). Measurement in medicine: A practical guide. Cambridge University Press.

Ferrando, P. J., & Lorenzo-Seva, U. (2014). El análisis factorial exploratorio de los ítems: algunas consideraciones adicionales. Anales De Psicología, 30(3), 1170-1175. https://revistas.um.es/analesps/article/view/analesps.30.3.199991/165451

Geissner, E., & Huetteroth, A. (2018). Beck Anxiety Inventory deutsch – Ein reliables, valides und praxisgeeignetes Instrument zur Messung klinischer Angst. PPmP - Psychotherapie, Psychosomatik , Medizinische Psychologie, 68(03/04), 118–125. https://doi.org/10.1055/s-0043-122941

Gorman, J. M. (1996). Comorbid depression and anxiety spectrum disorders. Depression and anxiety, 4(4), 160-168. https://doi.org/10.1002/(SICI)1520-6394(1996)4:4%3C160::AID-DA2%3E3.0.CO;2-J

Guillén Díaz-Barriga, C., & González-Celis Rangel, A. L. (2019). Propiedades psicométricas del Inventario de Ansiedad de Beck en adultos asmáticos mexicanos. Psicología y Salud, 29(1), 5–16. https://psicologiaysalud.uv.mx/index.php/psicysalud/article/view/2563/4471

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017a). A primer on partial least squares structural equation modeling (PLSSEM) (2nd ed.). SAGE Publications Inc.

Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017b). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.087624

Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 56-62. http://dx.doi.org/10.1136/jnnp.23.1.56

Hendriks, S. M., Spijker, J., Licht, C. M., Hardeveld, F., de Graaf, R., Batelaan, N. M., Penninx, B. W., & Beekman, A. T. (2015). Long-term work disability and absenteeism in anxiety and depressive disorders. Journal of affective disorders, 178, 121–130. https://doi.org/10.1016/j.jad.2015.03.004

Henseler, J. (2017). Adanco 2.0. 1-User manual. Composite Modeling GmbH & Co.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

Irwin, P., & Hughes, D. J. (2018). Test development. En P. Irwin, T. Booth & D. J. Hughes (Eds.), The Wiley handbook of psychometric testing (Vol I, pp. 3-47). Wiley.

Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12- month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of general psychiatry, 62(6), 617-627.

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

Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of chiropractic medicine, 15(2), 155-163. https://dx.doi.org/10.1016%2Fj.jcm.2016.02.012

Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606-613 .https://doi.org/10.1046/j.1525-1497.2001.016009606.x

Lee, H. K., Lee, E. H., Hwang, S. T., Hong, S. H., & Kim, J. H. (2016). Psychometric properties of the beck anxiety inventory in the community-dwelling sample of Korean adults. Korean Journal of Clinical Psychology, 35(4), 822-830. http://kjp-clinical.org/xml/08897/08897.pdf

Lépine, J. P. (2002). The epidemiology of anxiety disorders: prevalence and societal costs. The Journal of clinical psychiatry, 63, 4-8

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & 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://revistas.um.es/analesps/article/view/199361

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2017). El análisis factorial exploratorio de ítems: análisis guiado basado en datos empíricos y software. Anales de psicología, 33 (2), 417-432. https://revistas.um.es/analesps/article/download/analesps.33.2.270211/210801/0

Lorenzo-Seva, U., & Ferrando, P. (2020). Manual of the program FACTOR v. 10. http://psico.fcep.urv.es/utilitats/factor/index.html

Mineka, S., Watson, D., & Clark, L. A. (1998). Comorbidity of anxiety and unipolar mood disorders. Annual review of psychology, 49(1), 377-412. https://doi.org/10.1146/annurev.psych.49.1.377

Piotrowski, C. (2017). The Status of the Beck Inventories (BDI, BAI) in Psychology Training and Practice: A Major Shift in Clinical Acceptance. Journal of Applied Biobehavioral Research, 23(3), e12112. https://doi.org/10.1111/jabr.12112

Polit, D. F. (2014). Getting serious about test–retest reliability: a critique of retest research and some recommendations. Quality of Life Research, 23(6), 1713-1720. https://doi.org/10.1007/s11136-014-0632-9

Prieto, D. E., Aguirre, G. L., de Pierola, I., Luna, G., Merea, L., Lazarte, C. S., Uribe-Bravo, K. A., & Zegarra, Á. C. (2020). Depresión y ansiedad durante el aislamiento obligatorio por el COVID-19 en Lima Metropolitana. Liberabit, 26(2), e425-e425. https://doi.org/10.24265/liberabit.2020.v26n2.09

Rajkumar, R. P. (2020). COVID-19 and Mental Health: A Review of the Existing Literature. Asian Journal of Psychiatry, 52, 102066. https://doi.org/10.1016/j.ajp.2020.102066

Ritchie, H., & Roser, M. (2018). Mental Health. Our World in Data. https://ourworldindata.org/mental-health

Ruiz-Rodríguez, P., Cano-Vindel, A., Muñoz, R., Medrano, L., Moriana, J. A., Buiza, C., Jiménez, G., Gonzáles Blanch, C., & Grupo de Investigación PsicAP. (2017). Impacto económico y carga de los trastornos mentales comunes en España: una revisión sistemática y crítica. Ansiedad y Estrés, 23(2-3), 118-123. https://doi.org/10.1016/j.anyes.2017.10.003

Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Rasoulpoor, S., & Khaledi-Paveh, B. (2020). Prevalence of Stress, Anxiety, Depression Among the General Population During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis. Globalization and Health, 16(57). https://doi.org/10.1186/s12992-020-00589-w

Sandín, B., Chorot, P., & Valiente, R. M. (2012). Transdiagnóstico: nueva frontera en psicología clínica. Revista de Psicopatología y Psicología Clinica, 17(3), 185. http://e-spacio.uned.es/fez/eserv/bibliuned:Psicopat-2012-17-3-6005/Documento.pdf

Sanz, J., & Navarro, M. E. (2003). Propiedades psicométricas de una versión española del inventario de ansiedad de beck (BAI) en estudiantes universitarios [The psychometric properties of a spanish version of the Beck Anxiety Inventory (BAI) in a university students sample]. Ansiedad y Estrés, 9(1), 59–84. https://psycnet.apa.org/record/2003-99798-006

Sanz, J., Paz, M., & Fortún, M. (2012). El Inventario de ansiedad de Beck (BAI): propiedades psicométricas de la versión española en pacientes con trastornos psicológicos. Psicología Conductual, 20(3), 563-583. https://www.behavioralpsycho.com/wp-content/
uploads/2019/08/05.Sanz_20-3oa-1.pdf

Stagnaro, J. C., Cía, A., Vázquez, N., Vommaro, H., Nemirovsky, M., Serfaty, E., Ezequiel, S., Medina, M. E., Benjet, C., Aguilar-Gaxiola, S., & Kessler, S. (2018). Estudio epidemiológico de salud mental en población general de la República Argentina. Vertex. Revista Argentina de Psiquiatría, 29(142), 275-299. http://www.editorialpolemos.com.ar/docs/vertex/vertex142.pdf#page=36

Steer, R. A., Clark, D. A., Beck, A. T., & Ranieri, W. F. (1995). Common and specific dimensions of self-reported anxiety and depression: A replication. Journal of Abnormal Psychology, 104(3), 542. https://doi.org/10.1037/0021-843X.104.3.542

Steer, R. A., Clark, D. A., Beck, A. T., & Ranieri, W. F. (1999). Common and specific dimensions of self-reported anxiety and depression: the BDI-II versus the BDI-IA. Behaviour research and therapy, 37(2), 183-190. https://doi.org/10.1016/S0005-7967(98)00087-4

Tabachnick, B. G., & Fidell, L. S. (2001). Using Multivariate Statistics. Allyn and Bacon.

Trevethan, R. (2017). Intraclass correlation coefficients: clearing the air, extending some cautions, and making some requests. Health Services and Outcomes Research Methodology, 17(2), 127-143. https://doi.org/10.1007/s10742-016-0156-6

Vizioli, N. A., & Pagano, A. E. (2020). Adaptación del Inventario de Ansiedad de Beck en población de Buenos Aires. Interacciones, e171-e171. https://doi.org/10.24016/2020.v6n3.171

Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119-134. https://doi.org/10.1007/s11747-015-0455-4

World Medical Association. (2013). Declaration of Helsinki. Ethical principles for medical research involving human subjects. JAMA Network, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053

Xiong, J., Lipsitz, O., Nasri, F., Lui, L., Gill, H., Phan, L., Chen-Li, D., Iacobucci, M., Ho, R., Majeed, A., & McIntyre, R. S. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of affective disorders, 277, 55–64. https://doi.org/10.1016/j.jad.2020.08.001

Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological bulletin, 99(3), 432. https://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=8101602

Published

2021-05-19

Issue

Section

Research articles

How to Cite

Temporal stability and discriminant validity of the Beck Anxiety Inventory. (2021). LIBERABIT. Revista Peruana De Psicología, 27(1), e450. https://doi.org/10.24265/liberabit.2021.v27n1.03

Similar Articles

1-10 of 63

You may also start an advanced similarity search for this article.