Psychometric Properties of the Connor-Davidson Resilience Scale (CD-RISC) in Spanish Adolescents

  1. Canals, Josefa 3
  2. García-López, Luis Joaquín 5
  3. López-Fernández, Francisco Javier 2
  4. Marzo, Juan Carlos 4
  5. Morales-Hidalgo, Paula 13
  6. Piqueras, José Antonio 4
  1. 1 Universitat Oberta de Catalunya
    info

    Universitat Oberta de Catalunya

    Barcelona, España

    ROR https://ror.org/01f5wp925

  2. 2 Universitat Jaume I
    info

    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

  3. 3 Universitat Rovira i Virgili
    info

    Universitat Rovira i Virgili

    Tarragona, España

    ROR https://ror.org/00g5sqv46

  4. 4 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

  5. 5 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

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Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2024

Número: 27

Tipo: Artículo

DOI: 10.1017/SJP.2024.3 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

Few studies have examined the psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a large adolescent community sample, finding a significant disparity. This study explores the psychometric properties of the CD-RISC among Spanish adolescents by means of exploratory factor analysis (EFA), Rasch analysis, and measurement invariance (MI) across sex, as well as internal consistency and criterion validity. The sample was comprised of 463 adolescents (231 girls), aged 12 to 18 years, who completed the CD-RISC and other measures on emotional status and quality of life. The EFA suggested that the CD-RISC structure presented a unidimensional model. Consequently, shorter unidimensional CD-RISC models observed in the literature were explored. Thus, the Campbell-Sills and Stein CD–RISC–10 showed the soundest psychometric properties, providing an adequate item fit and supporting MI and non-differential item functioning across sex. Item difficulty levels were biased toward low levels of resilience. Some items showed malfunctioning in lower response categories. With regard to reliability, categorical omega was. 82. Strong associations with health-related quality of life, major depressive disorder symptoms, and emotional symptoms were observed. A weak association was found between resilience and the male sex. Campbell-Sills and Stein’s CD–RISC–10 model emerges as the best to assess resilience among Spanish adolescents, as already reported in adults. Thus, independently of the developmental stage, the core of resilience may reside in the aspects of hardiness and persistence.

Referencias bibliográficas

  • Ari, F. A., & Çarkit, E. (2020). Investigation of resilience in terms of gender: A meta-analysis study. Research on Education and Psychology, 4, 34–52.
  • Ang, W. H. D., Lau, S. T., Cheng, L. J., Chew, H. S. J., Tan, J. H., Shorey, S., & Lau, Y. (2022). Effectiveness of resilience interventions for higher education students: A meta-analysis and meta-regression. Journal of Educational Psychology, 114, 1670–1694. https://doi.org/10.1037/edu0000719
  • Arias González, V. B., Crespo Sierra, M. T., Arias Martínez, B., Martínez-Molina, A., & Ponce, F. P. (2015). An in-depth psychometric analysis of the Connor-Davidson Resilience Scale: Calibration with Rasch-Andrich model. Health and Quality of Life Outcomes, 13, Article 154. https://doi.org/10.1186/s12955-015-0345-y
  • Bobes, J., Bascaran, M. T., García-Portilla, M. P., Bousoño, M., Sáiz, P.A., & Wallance, D. H. (2001). Banco de instrumentos básicos de psiquiatría clínica [Bank of basic instruments of clinical psychiatry]. Psiquiatría ED.
  • Brownlee, K., Rawana, J., Franks, J., Harper, J., Bajwa, J., O’Brien, E., & Clarkson, A. (2013). A systematic review of strengths and resilience outcome literature relevant to children and adolescents. Child and Adolescent Social Work Journal, 30, 435–459. https://doi.org/10.1007/s10560-013-0301-9
  • Burns, R. A., & Anstey, K. J. (2010). The Connor-Davidson Resilience Scale (CD-RISC): Testing the invariance of a uni-dimensional resilience measure that is independent of positive and negative affect. Personality and Individual Differences, 48, 527–531. https://doi.org/10.1016/j.paid.2009.11.026
  • Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20, 1019–1028. https://doi.org/10.1002/jts.20271
  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 464–504. http://doi.org/10.1080/10705510701301834
  • Chen, W., Liang, Y., Yang, T., Gao, R., & Zhang, G. (2022). Validity and longitudinal invariance of the 10-Item Connor-Davidson Resilience Scale (CD–RISC–10) in Chinese left-behind and non-left-behind children. Psychological Reports, 125, 2274–2291. https://doi.org/10.1177/00332941211013531
  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233–255. http://doi.org/10.1207/s15328007sem0902_5
  • Chorpita, B. F., Yim, L., Moffitt, C., Umemoto, L. A., & Francis, S. E. (2000). Assessment of symptoms of DSM–IV anxiety and depression in children: A revised Child Anxiety and Depression scale. Behaviour Research and Therapy, 38, 835–855. https://doi.org/10.1016/s0005-7967(99)00130-8
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. https://doi.org/10.1037/0033-2909.112.1.155
  • Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression & Anxiety, 18, 76–82. https://doi.org/10.1002/da.10113
  • Davidson, J. R. T., Payne, V. M., Connor, K. M., Foa, E. B., Rothbaum, B. O., Hertzberg, M. A., & Weisler, R. H. (2005). Trauma, resilience and saliostasis: Effects of treatment in post-traumatic stress disorder. International Clinical Psychopharmacology, 20, 43–48. https://doi.org/10.1097/00004850-200501000-00009
  • Dorans, N. J., Schmitt, A. P., & Bleistein, C. A. (1992). The standardization approach to assessing comprehensive differential item functioning. Journal of Educational Measurement, 29, 309–319. https://doi.org/10.1111/j.1745-3984.1992.tb00379.x
  • Ehrich, J., Mornane, A., & Powern, T. (2017). Psychometric validation of the 10-item Connor-Davidson Resilience Scale. Journal of Applied Measurement, 18, 122–136.
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272–299. https://doi.org/10.1037/1082-989x.4.3.272
  • Feder, A., Nestler, E. J., & Charney, D. S. (2009). Psychobiology and molecular genetics of resilience. Nature Reviews Neuroscience, 10, 446–457. https://doi.org/10.1038/nrn2649
  • Fletcher, D., & Sarkar, M. (2013). Psychological resilience: A review and critique of defnitions, concepts and theory. European Psychologist, 18, 12–23. https://doi.org/10.1027/1016-9040/a000124
  • Flora, D. B. (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, 484–501. https://doi.org/10.1177/2515245920951747
  • Fu, C., Leoutsakos, J.-M., & Underwood, C. (2014). An examination of resilience cross-culturally in child and adolescent survivors of the 2008 China earthquake using the Connor-Davidson Resilience Scale (CD-RISC). Journal of Affective Disorders, 155, 149–153. https://doi.org/10.1016/j.jad.2013.10.041
  • García-León, M. Á., González-Gomez, A., Robles-Ortega, H., Padilla, J. L., & Peralta-Ramirez, I. (2019). Propiedades psicométricas de la Escala de Resiliencia de Connor y Davidson (CD-RISC) en población española [Psychometric properties of the Connor-Davidson Resilience Scale, CD-RISC, in Spanish population]. Anales de Psicología, 35, 33–40. https://doi.org/10.6018/analesps.35.1.314111
  • Garrido, L. E., Abad, F. J., & Ponsoda, V. (2013). A new look at Horn’s parallel analysis with ordinal variables. Psychological Methods, 18, 454–474. https://doi.org/10.1037/a0030005
  • Gómez-Beneyto, M., Nolasco, A., Moncho, J., Pereyra-Zamora, P., Tamayo-Fonseca, N., Munarriz, M., Salazar, J., Tabarés-Seisdedos, R., & Girón, M. (2013). Psychometric behaviour of the Strengths and Difficulties Questionnaire (SDQ) in the Spanish National Health Survey 2006. BMC Psychiatry, 13, Article 95. http://doi.org/10.1186/1471-244x-13-95
  • Gonzalez, S. P., Moore, E. W. G., Newton, M., & Galli, N. A. (2016). Validity and reliability of the Connor-Davidson Resilience Scale (CD-RISC) in competitive sport. Psychology of Sport and Exercise, 23, 31–39. https://doi.org/10.1016/j.psychsport.2015.10.005
  • Goodman, R. (2001). Psychometric properties of the Strengths and Difficulties Questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 1337–1345. http://doi.org/10.1097/00004583-200111000-00015
  • Guarnizo Guzmán, C. P., García Martín, M. B., Suárez Falcón, J. C. & Sierra, M. A. (2019). Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) on vulnerable Colombian adolescents. International Journal of Psychology and Psychological Therapy, 19, 277–289.
  • Goretzko, D., Pham, T. T. H., & Bühner, M. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40, 3510–3521. https://doi.org/10.1007/s12144-019-00300-2
  • Hladká, A., & Martinková, P. (2020). difNLR: Generalized logistic regression models for DIF and DDF Detection. The R Journal, 12, 300–323. https://doi.org/10.32614/rj-2020-014
  • Heritage, B., Al Asadi, A. A., & Hegney, D. G. (2021). Examination of the Connor-Davidson Resilience Scale 10 (CD–RISC–10) using the polytomous Rasch model. Psychological Assessment, 33, 672–684. https://doi.org/10.1037/pas0001011
  • Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118
  • Hu, T., Zhang, D., & Wang, J. (2015). A meta-analysis of the trait resilience and mental health. Personality and Individual Differences, 76, 18–27. https://doi.org/10.1016/j.paid.2014.11.039
  • Izquierdo, I., Olea, J., & Abad, F. J. (2014). Exploratory factor analysis in validation studies: Uses and recommendations. Psicothema, 26, 395–400. https://doi.org/10.7334/psicothema2013.349
  • Jorgensen, I. E., & Seedat, S. (2008). Factor structure of the Connor-Davidson Resilience Scale in South African adolescents. International Journal of Adolescent Medicine and Health, 20, 23–32. https://doi.org/10.1515/ijamh.2008.20.1.23
  • Khan, A., Chien, C.-W., & Brauer, S. G. (2013). Rasch-based scoring offered more precision in differentiating patient groups in measuring upper limb function. Journal of Clinical Epidemiology, 66, 681–687. https://doi.org/10.1016/j.jclinepi.2012.12.014
  • Kuiper, H., van Leeuwen, C. C. M., Stolwijk-Swüste, J. M., & Post, M. W. M. (2019). Measuring resilience with the Connor-Davidson Resilience Scale (CD-RISC): Which version to choose? Spinal Cord, 57, 360–366. https://doi.org/10.1038/s41393-019-0240-1
  • Li, M. H., & Nishikawa, T. (2012). The relationship between active coping and trait resilience across US and Taiwanese college student samples. Journal of College Counseling, 15, 157–171. https://doi.org/10.1002/j.2161-1882.2012.00013.x
  • Linacre, J. M. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3, 103–122.
  • Linacre, J. M. (2002). What do infit and outfit, mean-square and standardized mean. Rasch Measurement Transactions, 16, 878.
  • Liu, D. W. Y., Fairweather-Schmidt, A. K., Burns, R. A., & Roberts, R. M. (2015). The Connor-Davidson Resilience Scale: Establishing invariance between gender across the lifespan in a large community-based study. Journal of Psychopathology and Behavioral Assessment, 37, 340–348. https://doi.org/10.1007/s10862-014-9452-z
  • Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, 38, 88–91. http://doi.org/10.3758/BF03192753
  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. http://doi.org/10.1037/1082-989x.1.2.130
  • Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11, 320–341. https://doi.org/10.1207/s15328007sem1103_2
  • Masters, G. N., & Wright, B. D. (1997). The Partial Credit Model. In van der Linden, W. J. & Hambleton, R. K. (Eds.), Handbook of Modern Item Response Theory (pp. 101–121). Springer. https://doi.org/10.1007/978-1-4757-2691-6_6
  • Muthén, L. K., & Muthén, B. O. (1997–2017). Mplus user’s guide (8th Ed.). Muthén & Muthén. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf
  • Myers, N. D., Wolfe, E. W., Feltz, D. L., & Penfield, R. D. (2006). Identifying differential item functioning of rating scale items with the Rasch model: An introduction and an application. Measurement in Physical Education and Exercise Science, 10, 215–240. https://doi.org/10.1207/s15327841mpee1004_1
  • Notario-Pacheco, B., Solera-Martínez, M., Serrano-Parra, M. D., Bartolomé-Gutiérrez, R., García-Campayo, J., & Martínez-Vizcaíno, V. (2011). Reliability and validity of the Spanish version of the 10-item Connor-Davidson Resilience Scale (10–item CD–RISC) in young adults. Health and Quality of Life Outcomes, 9, Article 63. https://doi.org/10.1186/1477-7525-9-63
  • Oshio, A., Taku, K., Hirano, M., & Saeed, G. (2018). Resilience and Big Five personality traits: A meta-analysis. Personality and Individual Differences, 127, 54–60. https://doi.org/10.1016/j.paid.2018.01.048
  • Papini, N., Kang, M., Ryu, S., Griese, E., Wingert, T., & Herrmann, S. (2021). Rasch calibration of the 25-item Connor-Davidson resilience scale. Journal of Health Psychology, 26, 1976–1987. https://doi.org/10.1177/1359105320904769
  • Peng, L., Zhang, J., Chen, H., Zhang, Y., Li, M., Yu, Y., & Liu, B. (2014). Comparison among different versions of Connor-Davidson Resilience Scale (CD-RISC) in rehabilitation patients after unintentional injury. Journal of Psychiatry, 17, Article 1000153. http://doi.org/10.4172/2378-5756.1000153
  • Pulido-Martos, M., Fernández-Sánchez, M. D., & Lopez-Zafra, E. (2020). Measurement invariance across gender and age in the Connor-Davidson Resilience Scale (CD-RISC) in a Spanish general population. Quality of Life Research, 29, 1373–1384. https://doi.org/10.1007/s11136-019-02389-1
  • Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004
  • Ravens-Sieberer, U., Erhart, M., Rajmil, L., Herdman, M., Auquier, P., Bruil, J., Power, M., Duer, W., Abel, T., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., Kilroe, J., & the European KIDSCREEN Group. (2010). Reliability, construct and criterion validity of the KIDSCREEN–10 score: A short measure for children and adolescents’ well-being and health-related quality of life. Quality of Life Research, 19, 1487–1500. https://doi.org/10.1007/s11136-010-9706-5
  • Sandín, B., Chorot, P., Valiente, R. M., & Chorpita, B. F. (2010). Development of a 30-Item version of the revised Child Anxiety and Depression Scale. Revista de Psicopatología y Psicología Clínica, 15, 165–178. https://doi.org/10.5944/rppc.vol.15.num.3.2010.4095
  • Satorra, A. (2000). Scaled and adjusted restricted tests in multisample analysis of moment structures. In Heijmans, R. D. H., Pollock, D. S. G., & Satorra, A. (Eds.), Innovations in multivariate statistical analysis: Advanced studies in theoretical and applied econometrics (Vol. 36, pp. 233–247). Springer. http://doi.org/10.1007/978-1-4615-4603-0_17
  • Seol, H. (2022). SnowIRT: Item Response Theory for jamovi (jamovi module) [Computer software]. Jamovi. https://github.com/hyunsooseol/snowIRT
  • The jamovi project (2022). Jamovi. (Version 2.3) [Computer software]. https://www.jamovi.org
  • Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209–220. https://doi.org/10.1037/a0023353
  • Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicología, 33, 755–782. https://doi.org/10.6018/analesps.33.3.268401
  • Waddimba, A. C., Baker, B. M., Pogue, J. R., McAuliffe, M. P., Bennett, M. M., Baxter, R. D., Mohr, D. C., & Warren, A. M. (2022). Psychometric validity and reliability of the 10- and 2-item Connor–Davidson resilience scales among a national sample of Americans responding to the Covid–19 pandemic: An item response theory analysis. Quality of Life Research, 31, 2819–2836. https://doi.org/10.1007/s11136-022-03125-y
  • West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In Hoyle, R. H. (Ed.), Handbook of structural equation modeling (pp. 209–231). The Guilford Press.
  • Weston, R., & Gore, P. A. Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719–751. https://doi.org/10.1177/0011000006286345
  • Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, Article 8. https://doi.org/10.1186/1477-7525-9-8
  • Wollny, A. I., & Jacobs, I. (2021). Validity and reliability of the German versions of the CD–RISC–10 and CD–RISC–2. Current Psychology, 42, 3437–3448. https://doi.org/10.1007/s12144-021-01670-2
  • Yılmaz Koğar, E., & Gök, A. (2021). A meta-analysis study on gender differences in psychological resilience levels. Kıbrıs Türk Psikiyatri ve Psikoloji Dergisi, 3, 132–143. https://doi.org/10.35365/ctjpp.21.2.15
  • Yu, X.-n., Lau, J. T. F., Mak, W. W. S., Zhang, J., Lui, W. W. S., Zhang, J. (2011). Factor structure and psychometric properties of the Connor-Davidson Resilience Scale among Chinese adolescents. Comprehensive Psychiatry, 52, 218–224. https://doi.org/10.1016/j.comppsych.2010.05.010
  • Yu, X., & Zhang, J. (2007). Factor analysis and psychometric evaluation of the Connor-Davidson Resilience Scale (CD-RISC) with Chinese people. Social Behavior and Personality: An International Journal, 35, 19–30. https://doi.org/10.2224/sbp.2007.35.1.19
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