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Validation of the Italian Version of the Cognitive Distortion Scale as a Measure of Cognitive Bias in a Non-clinical Sample

  • Giulia Anna Aldi
  • Andrea Svicher
  • Fiammetta CosciEmail author
Article
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Abstract

The Cognitive Distortions Scale is a reliable scale assessing cognitive distortions as defined by Beck and Burns. The present study tested the psychometric properties (i.e., internal consistency, factor structure, homogeneity, concurrent, convergent, and discriminant validity) of the Italian version of the CDS in a non-clinical sample. One-hundred subjects, aged between 18 and 64 years, were recruited from the general population of Florence (Italy) and assessed via the Symptom Rating Test, the State-Trait Anxiety Inventory (STAI—form Y), the Anxiety Sensitivity Index 3, the Personal Need for Structure, the White Bear Suppression Inventory, and the Stroop Color and Word Test, Short Version. Internal consistency of the CDS was tested via the Cronbach’s alpha coefficient, the factor structure was analyzed via the principal component analysis, homogeneity was tested via the Mokken analysis, concurrent, convergent, discriminant validity was examined via Spearman correlations. The CDS showed a one-factor structure, satisfactory homogeneity for all items (ranging from 0.43 to 0.57) and total score (0.50), excellent internal consistency (Cronbach’s α  = 0.96), statistically significant concurrent, convergent, and discriminant validity. The Italian version of the CDS showed good psychometric properties, similarly to the original English version.

Keywords

CDS Cognitive Distortions Scale Cognitive distortions Automatic thoughts Cognitive therapy Cognitive behavioral therapy 

Notes

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

Informed Consent

The data were analyzed according to the Italian law on the treatment of personal data (i.e., Law no. 196, June 30, 2003). All participants had to provide and sign a written informed consent including a privacy protection disclaimer.

References

  1. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders-fourth edition, text revision: DSM-IV TR (p. 43). Washington, DC: American Psychiatric Press.Google Scholar
  2. Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77–85.Google Scholar
  3. Batmaz, S., Kaymak, S. U., Kocbiyik, S., & Turkcapar, M. H. (2015). From the first episode to recurrences: The role of automatic thoughts and dysfunctional attitudes in major depressive disorder. International Journal of Cognitive Therapy, 8(1), 61–77.Google Scholar
  4. Bech, P. (2012). Clinical psychometrics. Oxford: Wiley.Google Scholar
  5. Bech, P., Gudex, C., & Johansen, S. (1996). The WHO (ten) Weil-Being Index: Validation in diabetes. Psychotherapy and Psychosomatics, 65(4), 183–190.Google Scholar
  6. Bech, P., Wilson, P., Wessel, T., Lunde, M., & Fava, M. (2009). A validation analysis of two self-reported HAM-D6 versions. Acta Psychiatrica Scandinavica, 119(4), 298–303.Google Scholar
  7. Beck, A. T. (1967). Depression: Causes and treatment. Philadelphia: University of Pennsylvania Press.Google Scholar
  8. Beck, A. T. (1971). Cognition, affect, and psychopathology. Archives of General Psychiatry, 24(6), 495–500.Google Scholar
  9. Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International Universities Press.Google Scholar
  10. Beck, J. S. (1995). Cognitive therapy: Basics and beyond. New York: The Guilford Press.Google Scholar
  11. Beck, A. T., Rush, A., Shaw, B., & Emery, G. (1979). Cognitive therapy of depression. New York: The Guilford Press.Google Scholar
  12. Bernstein, A., & Zvolensky, M. J. (2005). Anxiety sensitivity: Selective review of promising research and future directions. Expert Review of Neurotherapeutics, 7(2), 97–101.Google Scholar
  13. Bhar, S. S., Beck, A. T., & Butler, A. C. (2011). Beliefs and personality disorders: An overview of the personality beliefs questionnaire. Journal of Clinical Psychology, 68(1), 88–100.Google Scholar
  14. Burns, D. D. (1980). Feeling good: The new mood therapy. New York: Signet.Google Scholar
  15. Caffarra, P., Vezzadini, G., Dieci, F., Zonato, F., & Venneri, A. (2002). Una versione abbreviata del test di Stroop: Dati normativi nella popolazione italiana. Rivista Neurologica, 12, 111–115.Google Scholar
  16. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245–276.Google Scholar
  17. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.Google Scholar
  18. Cosci, F., Abrams, K., Schruers, K., Rickelt, J., & Griez, E. (2006). Effect of nicotine on 35% CO2-induced anxiety: A study in healthy volunteers. Nicotine and Tobacco Research, 8(4), 511–517.Google Scholar
  19. Covin, R., Dozois, D. J. A., Ogniewicz, A., & Seeds, P. M. (2011). Measuring cognitive errors: Initial development of the Cognitive Distortions Scale (CDS). International Journal of Cognitive Therapy, 4(3), 297–322.Google Scholar
  20. Crandell, C. J., & Chambless, D. L. (1986). The validation of an inventory for measuring depressive thoughts: The Crandell cognitions inventory. Behaviour Research and Therapy, 24(4), 403–411.Google Scholar
  21. David, D. S., Lynn, J., & Ellis, A. (2010). Rational and irrational beliefs in human functioning and disturbances. Implication for research, theory, and practice. NewYork: Oxford University Press.Google Scholar
  22. De Graaf, L. E., Roelofs, J., & Huibers, M. J. H. (2009). Measuring dysfunctional attitudes in the general population: The Dysfunctional Attitude Scale (form A) revised. Cognitive Therapy and Research, 33(4), 345–355.Google Scholar
  23. De Oliveira, I. R., Seixas, C., Osório, F. L., Crippa, J. A. S., de Abreu, J. N., Menezes, I. G., et al. (2015). Evaluation of the psychometric properties of the Cognitive Distortions Questionnaire (CD-Quest) in a sample of undergraduate students. Innovations in Clinical Neuroscience, 12(7–8), 20–27.Google Scholar
  24. Dobson, K., & Dozois, D. (2001). Historical and philosophical basis of cognitive behavioral therapy. In K. Dobson (Ed.), Handbook of cognitive-behavioral therapies (pp. 3–39). New York: Guilford.Google Scholar
  25. Drapeau, M. (2013). The assessment of cognitive errors using an observer-rated method. Psychotherapy Research, 24(2), 240–249.Google Scholar
  26. Ellis, A. (1980). Rational-emotive therapy and cognitive behavior therapy: Similarities and differences. Cognitive Therapy and Research, 4(4), 325–340.Google Scholar
  27. Fava, G. A., Kellner, R., Lisansky, J., Park, S., Perini, G. I., & Zielezny, M. (1986). Rating depression in normals and depressives: Observer versus self-rating scales. Journal of Affective Disorders, 11(1), 29–33.Google Scholar
  28. Fava, G. A., Kellner, R., Perini, G. I., Fava, M., Michelacci, L., Munari, F., et al. (1981). Italian validation of the Symptom Rating Test (SRT) and Symptom Questionnaire (SQ). The Canadian Journal of Psychiatry, 28(2), 117–123.Google Scholar
  29. Hamtiaux, A., & Houssemand, C. (2012). Adaptability, cognitive flexibility, Personal Need for Structure, and rigidity. Psychology Research, 2(10), 563–585.Google Scholar
  30. Hollon, S. D., & Kendall, P. C. (1980). Cognitive self-statements in depression: Development of an automatic thoughts questionnaire. Cognitive Therapy and Research, 4(4), 383–395.Google Scholar
  31. Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185.Google Scholar
  32. Jardin, C., Paulus, D. J., Garey, L., Kauffman, B., Bakhshaie, J., Manning, K., et al. (2018). Towards a greater understanding of anxiety sensitivity across groups: The construct validity of the Anxiety Sensitivity Index-3. Psychiatry Research, 268, 72–81.Google Scholar
  33. Kaiser, H. F. (1970). A second generation little jiffy. Psychometrika, 35(4), 401–415.Google Scholar
  34. Kaiser, H. F., & Rice, J. (1974). Little Jiffy, Mark IV. Educational and Psychological Measurement, 34(1), 111–117.Google Scholar
  35. Kellner, R., & Sheffield, B. F. (1973). A self-rating scale of distress. Psychological Medicine, 3(1), 88–100.  https://doi.org/10.1017/S0033291700046377.Google Scholar
  36. Knapp, P., & Beck, A. T. (2008). Cognitive therapy: Foundations, conceptual models, applications and research. Brazilian Journal of Psychiatry, 30(2), s54–s64.Google Scholar
  37. Krantz, S., & Hammen, C. L. (1979). Assessment of cognitive bias in depression. Journal of Abnormal Psychology, 88(6), 611–619.Google Scholar
  38. Lecrubier, Y., Sheehan, D., Weiller, E., Amorim, P., Bonora, I., Harnett Sheehan, K., et al. (1997). The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: Reliability and validity according to the CIDI. European Psychiatry, 12(5), 224–231.Google Scholar
  39. Lefebvre, M. F. (1981). Cognitive distortion and cognitive errors in depressed psychiatric and low back pain patients. Journal of Consulting and Clinical Psychology, 49(4), 517–525.Google Scholar
  40. Leitenberg, H., Yost, L. W., & Carroll-Wilson, M. (1986). Negative cognitive errors in children: Questionnaire development, normative data, and comparisons between children with and without self-reported symptoms of depression, low self esteem, and evaluation anxiety. Journal of Consulting and Clinical Psychology, 54(4), 528–536.Google Scholar
  41. Loevinger, J. (1947). A systematic approach to the construction and evaluation of tests of ability. Psychological Monographs, 61(4), i–i49.Google Scholar
  42. Mokken, R. J. (1971). Theory and procedure of scale analysis. Berlin: Monton.Google Scholar
  43. Neuberg, S. L., & Newsom, J. T. (1993). Personal Need for Structure: Individual differences in the desire for simpler structure. Journal of Personality and Social Psychology, 65(1), 113–131.Google Scholar
  44. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.Google Scholar
  45. Osborne, J., Costello, A., & Kellow, J. (2008). Best practices in exploratory factor analysis. In J. Osborne (Ed.), Best practices in quantitative methods (pp. 86–99). Thousand Oaks, CA: SAGE Publications Ltd.Google Scholar
  46. Özdel, K., Taymur, I., Guriz, S. O., Tulaci, R. G., Kuru, E., & Turkcapar, M. H. (2014). Measuring cognitive errors using the Cognitive Distortions Scale (CDS): Psychometric properties in clinical and non-clinical samples. PLOS One.  https://doi.org/10.1371/journal.pone.0105956.Google Scholar
  47. Pedrabissi, L., & Santinello, M. (1992). STAI: State-Trait Anxiety Inventory—Forma Y—Manual. Firenze: Organizzazioni Speciali.Google Scholar
  48. Petrocchi, N., Tenore, K., Couyoumdjian, A., & Gragnani, A. (2014). The Anxiety Sensitivity Index-3: Factor structure and psychometric properties in Italian clinical and non-clinical samples. Applied Psychology Bulletin, 269, 53–64.Google Scholar
  49. Pica, G., Amato, C., Mauro, R., & Pierro, A. (2015). Individual differences in preference for thought suppression; components and correlates of the White Bear Suppression Inventory. TPM-Testing, Psychometrics, Methodology in Applied Psychology, 22(1), 31–42.Google Scholar
  50. Reiss, S., Peterson, R. A., Gursky, D. M., & McNally, R. J. (1986). Anxiety sensitivity, anxiety frequency and the prediction of fearfulness. Behaviour Research and Therapy, 24(1), 1–8.Google Scholar
  51. Rossi, A., Alberio, R., Porta, A., Sandri, M., Tansella, M., & Amaddeo, F. (2004). The reliability of the mini-international neuropsychiatric interview-Italian version. Journal of Clinical Psychopharmacology, 24(5), 561–563.Google Scholar
  52. Sarmány-Schuller, I. (2000). Need for structure and coping processes. Ansiedad y Estrés, 61(1), 39–45.Google Scholar
  53. Schaller, M., Boyd, C., Yohannes, J., & O´Brien, M. (1995). The prejudiced personality revisited: Personal Need for Structure and formation of erroneous group stereotypes. Journal of Personality and Social Psychology, 68(3), 544–555.Google Scholar
  54. Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., et al. (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of Clinical Psychiatry, 59, 22–33.Google Scholar
  55. Smith, M. R., & Gordon, R. A. (1998). Personal Need for Structure and attitudes toward homosexuality. The Journal of Social Psychology, 138(1), 83–87.Google Scholar
  56. Spielberger, C. D. (1989). State-Trait Anxiety Inventory: Bibliography (2nd ed.). Palo Alto, CA: Consulting Psychologists Press.Google Scholar
  57. Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
  58. Taylor, R. R. (2006). Cognitive behavioral therapy for chronic illness and disability. New York: Springer.Google Scholar
  59. Taylor, S., Zvolensky, M. J., Cox, B. J., Deacon, B., Heimberg, R. G., Ledley, D. R., et al. (2007). Robust dimensions of anxiety sensitivity: Development and initial validation of the Anxiety Sensitivity Index-3. Psychological Assessment, 19(2), 176–188.Google Scholar
  60. Vannucci, M., Mazzoni, G., & Cartocci, G. (2011). Lack of control enhances accurate and inaccurate identification responses to degraded visual objects. Psychonomic Bulletin and Review, 18(3), 524–530.Google Scholar
  61. Wegner, D. M., & Zanakos, S. (1994). Chronic thought suppression. Journal of Personality, 62(4), 615–640.Google Scholar
  62. Weissman, A. N., & Beck, A. T. (1978). Development and validation of the dysfunctional attitude scale. Paper presented at the annual meeting of the association for the advanced behavior therapy, Chicago, November. Resource document. Education Resources Information Center (ERIC). https://files.eric.ed.gov/fulltext/ED167619.pdf. Accessed July 21, 2018.
  63. Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema therapy a practitioner’s guide. New York: The Guilford Press.Google Scholar
  64. Yurica, C. L. (2002). Inventory of cognitive distortions: Development and validation of a psychometric test for the measurement of cognitive distortions. Unpublished doctoral dissertation. Philadelphia: Philadelphia College of Osteopathic Medicine.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Health SciencesUniversity of FlorenceFlorenceItaly
  2. 2.Department of Psychiatry and NeuropsychologyMaastricht UniversityMaastrichtThe Netherlands

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