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Validation of the Young Schema Questionnaire: Short Form 3 in Indian Population

  • Anjali JainEmail author
  • Kamlesh Singh
Assessment
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Abstract

Young Schema Questionnaire—Short Form 3 (YSQ-S3) which measures Early Maladaptive Schema (EMS) has received limited attention in Indian context. The goal of the study was to validate the psychometric properties of YSQ-S3 in a non-clinical Indian sample using data collected from 702 participants (age range 16–55 years). Based on reliability and confirmatory factor analysis, we established that our data supported Young’s proposed 18 EMS model based on the US population. Additionally, YSQ-S3’s concurrent validity was established with standardized instruments, namely Beck Depression Inventory-II, Scale of Positive and Negative Experience, Big Five Inventory and General Health Questionnaire-12. The findings from our analyses indicated that most EMSs correlated significantly with the validity dimensions. Furthermore, our findings identified age- and gender-related differences across the 18 EMS. Our findings confirmed that YSQ-S3 is a robust psychometric tool for assessing EMS on non-clinical population, and further research is needed to establish its use on clinical population in India.

Keywords

Young Schema Questionnaire Factor analysis Maladaptive schema Validity Reliability India 

Notes

Acknowledgements

The authors would like to acknowledge the efforts and contribution of Dr. Dalbir Singh, Associate Professor, Pt. N.R.S. Government College, Rohtak, Haryana, India for his support with the data collection. Authors will also like to thank Dr. Ankit Gupta, Scientist II, Arcellx, Inc., Maryland, USA for his help in editing this paper.

Funding

The authors declare that no funding was received from any source for this study.

Compliance with Ethical Standards

Conflict of interest

The authors declare that there is no conflict of interest with regards to the research, authorship and publication of this study.

Ethical Standards

All procedures involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments.

Informed Consent

Written informed consent stating the anonymity and confidentiality of responses, volunteer participation and the use of responses for the sole use of research was obtained from all individual participants. No identifying information from the participants was collected for the study. Participation was voluntary, and participants were free to withdraw from the research at any stage.

Supplementary material

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Supplementary material 1 (DOCX 201 kb)
12646_2019_493_MOESM2_ESM.docx (65 kb)
Supplementary material 2 (DOCX 65 kb)

References

  1. Anmuth, L. M. (2011). Early maladaptive schemas and negative life events in the prediction of depression and anxiety. Glassboro: Rowan University.Google Scholar
  2. Bahramizadeha, H., & Ehsana, H. B. (2011). The evaluation of prediction potential neuroticism and extraversion according to early maladaptive schemas. Procedia Social and Behavioral Sciences, 30, 524–529.  https://doi.org/10.1016/j.sbspro.2011.10.102.Google Scholar
  3. Baranoff, J., Oei, T. P., Cho, S. H., & Kwon, S. M. (2006). Factor structure and internal consistency of the Young schema questionnaire (short form) in Korean and Australian samples. Journal of Affective Disorders, 93(1–3), 133–140.  https://doi.org/10.1016/j.jad.2006.03.003.Google Scholar
  4. Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck depression inventory-II. San Antonio: Psychological Corporation.Google Scholar
  5. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.  https://doi.org/10.1037/0033-2909.107.2.238.Google Scholar
  6. Carr, S. N. (2006). Retrospective reporting of childhood factors and borderline personality disorder features in a non-clinical sample: A cognitive-behavioral perspective. Melbourne, Australia: RMIT University.Google Scholar
  7. Chanakya, B. (2002). Psychosocial factors, maladaptive cognitive schemas, and depression in Young adults: An integration. Blacksburg, Virginia: Virginia Polytechnic Institute and State University.Google Scholar
  8. D’Andrea, J. T. (2003). An investigation of the relationship between early maladaptive schemas and psychological adjustment: The moderating effects of spiritual coping styles. Bronx, New York: Fordham University.Google Scholar
  9. Diener, E., Wirtz, D., Tov, W., Kim- Prieto, C., Choi, D. W., Oishi, S., et al. (2010). New well-being measures: Short scales to assess flourishing and positive and negative feelings. Social Indicators Research, 97(2), 143–156.  https://doi.org/10.1007/s11205-009-9493-y.Google Scholar
  10. Diener, E., Wirtz, D., Biswas-Diener, R., Tov, W., Kim-Prieto, C., Choi, D. W., & Oishi, S. (2009). New measures of well-being. In E. Diener (Ed.), Social indicators research series: Assessing well-being: The collected works of Ed Diener (Vol. 39, pp. 247–266). New York, NY: Springer.  https://doi.org/10.1007/978-90-481-2354-4_12.
  11. Dobson, K. (2009). Handbook of cognitive-behavioral therapies (3rd ed.). USA: The Guilford Press.Google Scholar
  12. Glaser, B. A., Campbell, L. F., Calhoun, G. B., Bates, J. M., & Petrocelli, J. V. (2002). The early maladaptive schema questionnaire-short form: A construct validity study. Measurement and Evaluation in Counseling and Development, 35(1), 2–13.Google Scholar
  13. Goldberg, D., & Blackwell, B. (1970). Psychiatric illness in general practice. A detailed study using a new method of case identification. British Medical Journal, 2(5707), 439–443.  https://doi.org/10.1136/bmj.2.5707.439 Google Scholar
  14. Goldberg, D., & Williams, P. (1988). A user’s guide to the general health questionnaire. Windsor: NFER-Nelson.Google Scholar
  15. Gouveia, V. V., Chaves, S. S. D. S., Oliveira, I. C. P. D., Dias, M. R., & Andrade, P. R. D. (2003). The use of GHQ-12 in a general population: A study of its construct validity. Psicologia Teoria e Pesquisa, 19(3), 241–248.Google Scholar
  16. Hankins, M. (2008). The reliability of the twelve-item general health questionnaire (GHQ-12) under realistic assumptions. BMC Public Health, 8, 355.  https://doi.org/10.1186/1471-2458-8-355.Google Scholar
  17. Hawke, L. D., & Provencher, M. D. (2012). The Canadian French Young schema questionnaire: Confirmatory factor analysis and validation in clinical and nonclinical samples. Canadian Journal of Behavioural Sciences, 44(1), 40–49.  https://doi.org/10.1037/a0026197.Google Scholar
  18. Hirsch, N., Hautekeete, M., & Kochman, F. (2001). Early maladaptive processes, depression and alexithymia in suicidal hospitalized adolescents. Encephale, 27(1), 61–70.Google Scholar
  19. Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative methods, 3(1), 76–83.Google Scholar
  20. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.  https://doi.org/10.1080/10705519909540118.Google Scholar
  21. John, O. P., & Srivastava, S. (1999). The big-five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102–138). New York: Guilford Press.Google Scholar
  22. Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: User’s guide. Chicago, IL: Scientific Software.Google Scholar
  23. Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.Google Scholar
  24. Kriston, L., Schafer, J., Harter, M., & Holzel, L. P. (2010). All the same? Factorial structure of the Young schema questionnaire—short form 3 (YSQ-S3). In Paper presented at the the 4th annual international society of schema therapy meeting. Berlin.Google Scholar
  25. Kriston, L., Schafer, J., Jacob, G. A., Harter, M., & Holzel, L. P. (2013). Reliability and validity of the German version of the Young schema questionnaire—short form 3 (YSQ-S3). European Jornal of Psychological Assessment, 29(3), 205–212.  https://doi.org/10.1027/1015-5759/a000143.Google Scholar
  26. Lee, C. W., Taylor, G., & Dunn, J. (1999). Factor structure of the schema questionnaire in a large clinical sample. Journal Cognitive Therapy and Research, 23(4), 441–451.  https://doi.org/10.1023/A:1018712202933.Google Scholar
  27. Li, F., Bai, X., & Wang, Y. (2013). The scale of positive and negative experience (SPANE): Psychometric properties and normative data in a large Chinese sample. PLoS One, 8(4), e61137.  https://doi.org/10.1371/journal.pone.0061137.Google Scholar
  28. Lyrakos, D. G. (2014). The validity of Young schema questionnaire 3rd version and the schema mode inventory 2nd version on the Greek population. Psychology, 5(5), 461–477.  https://doi.org/10.4236/psych.2014.55056.Google Scholar
  29. Macik, D. (2017). Symptoms of mental health disorders and early maladaptive schemas-assessment of dependencies. Psychoterapia, 1(180), 33–47.Google Scholar
  30. McDonald, R. P., & Ho, M. H. R. (2002). Principles and practice in reporting statistical equation analyses. Psychological Methods, 7(1), 64–82.  https://doi.org/10.1037/1082-989X.7.1.64.Google Scholar
  31. Millon, T. (1987). Manual for the MCMI-II (2nd ed.). Minneapolis: National Computer Systems.Google Scholar
  32. Muris, P. (2006). Maladaptive schemas in non-clinical adolescents: Relations to perceived parental rearing behaviours, big five personality factors and psychopathological symptoms. Clinical Psychology and Psychotherapy, 13(6), 405–413.  https://doi.org/10.1002/cpp.506.Google Scholar
  33. Oettingen, J., Chodkiewicz, J., Macik, D., & Grusczczynska, E. (2017). Polish adaptation of the Young schema questionnaire 3 short form (YSQ-S3-PL). Psychiatria Polska, 52(4), 707–718.  https://doi.org/10.12740/PP/OnlineFirst/76541.Google Scholar
  34. Oshima, F., Iwasa, K., & Eiji Shimizu, E. I. (2014). Autism spectrum traits in adults affect mental health status via early maladaptive schemas. Psychology Research, 4(5), 336–344.  https://doi.org/10.17265/2159-5542/2014.05.002.Google Scholar
  35. Pevalin, D. J. (2000). Multiple applications of the GHQ-12 in a general population sample: An investigation of long-term retest effects. Social Psychiatry and Psychiatric Epidemiology, 35(11), 508–512.  https://doi.org/10.1007/s001270050272.Google Scholar
  36. Philips, K., Brockma, R., Bailey, P. E., & Kneebone, I. I. (2019). Young schema questionnaire- short form version 3 (YSQ-S3): Preliminary validation in older adults. Aging and Mental Health, 23(1), 140–147.  https://doi.org/10.1080/13607863.2017.1396579.Google Scholar
  37. Rijkeboer, M. M., & de Boo, G. M. (2010). Early maladaptive schemas in children: Development and validation of the schema inventory for children. Journal of Behavior Therapy and Experimental Psychiatry, 41(2), 102–109.  https://doi.org/10.1016/j.jbtep.2009.11.001.Google Scholar
  38. Rijkeboer, M. M., van den Bergh, H., & van den Bout, J. (2005). Stability and discriminative power of Young schema questionnaire in a Dutch clinical versus non-clinical population. Journal of Behavior Therapy and Experimental Psychiatry, 36(2), 129–144.  https://doi.org/10.1016/j.jbtep.2004.08.005.Google Scholar
  39. Riso, L. P., Froman, S. E., Raouf, M., Gable, P., Maddux, R. E., Santorelli, N. T., et al. (2006). The long term stability of early maladaptive schemas. Cognitive Therapy and Research, 30(4), 515–529.  https://doi.org/10.1007/s10608-006-9015-z.Google Scholar
  40. Roussos, P. (2007). The Greek computer attitudes scale: Construction and assessment of psychometric properties. Computers in Human Behavior, 23(1), 578–590.  https://doi.org/10.1016/j.chb.2004.10.027.Google Scholar
  41. Saariaho, T., Saariaho, A., Karila, I., & Joukamaa, M. (2009). The psychometric properties of the finnish Young schema questionnaire in chronic pain patients and a non-clinical sample. Journal of Behavior Therapy and Experimental Psychiatry, 40(1), 158–168.  https://doi.org/10.1016/j.jbtep.2008.07.005.Google Scholar
  42. Sahoo, S., Kumar, A., & Pradhan, N. (2012). Cognitive schemas among mental health professionals: Adaptive or maladaptive? Journal of Research in Medical Sciences, 17(6), 523–526.Google Scholar
  43. Saritas, D., & Gencoz, T. (2011). Adolescents’ emotion regulation and its relation with their mothers’ emotion regulation and parental rearing behaviors. Turkish Journal of Child Adolescent Mental Health, 18(2), 117–126.Google Scholar
  44. Saritas, D., & Tulin, G. (2011). Psychometric properties of Young schema questionnaire—short form 3 in a Turkish adolescent sample. Journal of Cognitive & Behavioral Psychotherapies, 11(1), 83–96.Google Scholar
  45. Schmidt, N. B., Joiner, T. E., Young, J. E., & Telch, M. J. (1995). The schema questionnaire: Investigation of properties and hierarchical structure of a measure of maladaptive schemas. Cognitive Therapy and Research, 19(3), 295–321.  https://doi.org/10.1007/BF02230402.Google Scholar
  46. Segal, Z. V. (1988). Appraisal of the self-schema construct in cognitive models of depression. Psychological Bulletin, 103(2), 147–162.  https://doi.org/10.1037/0033-2909.103.2.147.Google Scholar
  47. Shahamat, F. (2011). Predicting general health symptoms (somatization, anxiety, depression) from early maladaptive schemas. Journal of Psychology (Tabriz University), 5(20), 103–124.Google Scholar
  48. Soygüt, G., & Cakir, Z. (2009). The mediating role of the interpersonal schemas between parenting styles and psychological symptoms: A schema focused view. Turkish Journal of Psychiatry, 20(2), 144–152.Google Scholar
  49. Stopa, L., & Waters, A. (2005). The effect of mood on responses to the Young schema questionnaire: Short form. Psychology and Psychotherapy: Theory, Research and Practice, 78(1), 45–57.  https://doi.org/10.1348/147608304X21383.Google Scholar
  50. Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins.Google Scholar
  51. Trip, S. (2006). The Romanian version of Young schema questionnaire—short form-3 (YSQ-S3). Journal of Cognitive and Behavioral Psychotherapies, 6(2), 173–181.Google Scholar
  52. Vlierberghe, L. V., Braet, C., Bosmans, G., Rosseel, Y., & Bögels, S. (2009). Maladaptive schemas and psychopathology in adolescence: On the utility of Young’s schema theory in youth. Journal of Cognitive Therapy and Research, 34(4), 316–332.  https://doi.org/10.1007/s10608-009-9283-5.Google Scholar
  53. Wang, C. E., Halvorsen, M., Eisemann, M., & Waterloo, K. (2010). Stability of dysfunctional attitudes and early maladaptive schemas: A 9-year follow-up study of clinically depressed subjects. Journal of Behavior Therapy and Experimental Psychiatry, 41(4), 389–396.  https://doi.org/10.1016/j.jbtep.2010.04.002.Google Scholar
  54. Welburn, K., Coristine, M., Dagg, P., Pontefract, A., & Jordan, S. (2002). The schema questionnaire—short form: Factor analysis and relationship between schemas and symptoms. Cognitive Therapy and Research, 26(4), 519–530.  https://doi.org/10.1023/A:1016231902020 Google Scholar
  55. Young, J. E. (1990a). Cognitive therapy for personality disorders: A schema-focused approach. Sarasota: Professional Resource Exchange.Google Scholar
  56. Young, J. E. (1990b). Schema therapy: Conceptual model. In J. E. Young, J. S. Klokko, & M. E. Weishaar (Eds.), Schema therapy: A practitioner’s guide (pp. 1–2). New York: Guilford press.Google Scholar
  57. Young, J. E. (2003). Young schema questionnaire—long form 3 (YSQ-L3). New York: Schema Therapy Institiute.Google Scholar
  58. Young, J. E. (2005). Young schema questionnaire: Short form 3 (YSQ-S3). New York: Cognitive Therapy center.Google Scholar
  59. Young, J. E., & Brown, G. (1994). Young schema questionnaire. In J. E. Young (Ed.), Cognitive therapy for personality disorders: A schema-focused approach (2nd ed.). Sarasota: Professional Resource Press.Google Scholar
  60. Young, J. E., & Brown, G. (1999). Young schema questionnaire: Short version. New York: Cognitive Therapy Center of New York.Google Scholar
  61. Young, J. E., & Brown, G. (2003). Schema Questionnaire (YSQ-L2). New York: Cognitive Therapy Center of New York.Google Scholar
  62. Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema therapy: A practitioner’s guide. New York: Guilford Press.Google Scholar
  63. Young, J. E., Pascal, B., & Cousineau, P. (2005). Questionnaire des schemas de Young (YSQ-S3). New York: Schema Therapy Institute.Google Scholar
  64. Ziba, B. I., Javad, B. M., & Mojitaba, B. (2016). Effectiveness of cognitive therapy based on compassionate-mind on the modification of maladaptive schemas and reduction of negative emotions in students with mathematics disorder. Contemporary Psychology, 11(1), 103–117.Google Scholar

Copyright information

© National Academy of Psychology (NAOP) India 2019

Authors and Affiliations

  1. 1.Department of Humanities and Social SciencesIndian Institute of TechnologyNew DelhiIndia

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