Estabilidade temporal e validade discriminante do Beck Anxiety Inventory
DOI:
https://doi.org/10.24265/liberabit.2021.v27n1.03Palavras-chave:
temporal stability, discriminant validity, BAI, anxiety, depressionResumo
Antecedentes: Os transtornos de ansiedade são os mais prevalentes no mundo prevalência mundial, seguida por desordens depressivas. desordens depressivas. O Beck Anxiety Inventory (BAI; Beck et al. et al., 1988) foi elaborado para avaliar a gravidade da ansiedade de sintomas ansiosos e para fazer diagnósticos diferenciais entre os distúrbios de ansiedade e a depressão. Objetivo: Examinar a estabilidade temporal do BAI em sua versão adaptada à Argentina e a adaptados à Argentina e para obter provas de validade discriminatória. validade discriminante. Métodos: em uma amostra de 52 pessoas, o coeficiente de correlação intraclasse O coeficiente de correlação intraclasse foi analisado. Então, em um Depois, em uma amostra de 225 pessoas, uma análise das correlações entre as pontuações entre o BAI e Beck Depression Inventory-II (BDI-II; Beck Depression Inventory-II (BDI-II; Beck et al., 2006); Posteriormente, uma análise de fatores exploratórios (EFA) (EFA) foi realizada com itens de ambos os instrumentos, e o Heterotrait A Razão Heterotraxo-Monotraxo (HTMT) foi calculada. Resultados: O coeficiente de correlação intraclasse foi .82 (IC 95% = .69 - .90). A correlação entre o BAI e o O BDI era de .56 (tamanho de efeito moderado). mostrou dois fatores bem diferenciados, e um HTMT Razão HTMT de .66 (95% CI = .55 - .74). Conclusões: Foi observada uma estabilidade temporal adequada estabilidade e evidência da validade discriminante do instrumento. do instrumento.
Contribuição da autoria
AEP: concepção e desenho do estudo, interpretação dos dados e revisão final do manuscrito.
NAV: concepção e desenho do estudo, interpretação dos dados e revisão final do manuscrito.
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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
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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
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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/
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2021-05-19
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Estabilidade temporal e validade discriminante do Beck Anxiety Inventory. (2021). LIBERABIT. Revista Peruana De Psicología, 27(1), e450. https://doi.org/10.24265/liberabit.2021.v27n1.03
