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Assessing the measurement invariance of the RCADS-25 questionnaire across gender and child–parent dyads in the presence of multilevel data

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Abstract

Purpose

This study aims to assess the measurement invariance of the short version of the Revised Child Anxiety and Depression Scale (RCADS-25) across male and female adolescents along with child self-reports and parent proxy-reports.

Methods

The sample consisted of 2039 adolescents and their parents from 51 public and private schools in Shiraz (southern Iran). The measurement invariance of the RCADS-25 was investigated by the multilevel multiple-indicators multiple-causes model. In addition, the reliability of the questionnaire was examined by Cronbach’s alpha coefficient, and its validity was evaluated by exploratory and categorical confirmatory factor analysis.

Results

Although the RCADS-25 includes five (20%) non-invariant items across male and female adolescents, their impact is negligible at the scale level. In addition, 10 out of 25 items (40%) were non-invariant across self- and proxy-reports, which did not have substantial effect at the scale level.

Conclusion

Based on our findings, the instrument can be used, albeit with caution, for comparing depression and anxiety scores between male and female adolescents as well as child self-reports and parent proxy-reports.

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References

  1. Compas, B. E., Orosan, P. G., & Grant, K. E. (1993). Adolescent stress and coping: implications for psychopathology during adolescence. Journal of Adolescence, 16(3), 331–349.

    Article  PubMed  CAS  Google Scholar 

  2. Lewinsohn, P. M., Clarke, G. N., Seeley, J. R., & Rohde, P. (1994). Major depression in community adolescents: Age at onset, episode duration, and time to recurrence. Journal of the American Academy of Child and Adolescent Psychiatry, 33(6), 809–818.

    Article  PubMed  CAS  Google Scholar 

  3. McCauley Ohannessian, C., Lerner, R. M., Lerner, J. V., & von Eye, A. (1999). Does self-competence predict gender differences in adolescent depression and anxiety? Journal of Adolescence, 22(3), 397–411.

    Article  PubMed  CAS  Google Scholar 

  4. Costello, E. J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60(8), 837–844.

    Article  PubMed  Google Scholar 

  5. Ebesutani, C., Reise, S. P., Chorpita, B. F., Ale, C., Regan, J., Young, J., Higa-McMillan, C., & Weisz. J. R. (2012). The revised child anxiety and depression scale-short version: Scale reduction via exploratory bifactor modeling of the broad anxiety factor. Psychological Assessment, 24(4), 833–845.

    Article  PubMed  Google Scholar 

  6. Lewinsohn, P. M., Zinbarg, R., Seeley, J. R., Lewinsohn, M., & Sack, W. H. (1997). Lifetime comorbidity among anxiety disorders and between anxiety disorders and other mental disorders in adolescents. Journal of Anxiety Disorders, 11(4), 377–394.

    Article  PubMed  CAS  Google Scholar 

  7. Ebesutani, C., Tottenham, N., & Chorpita, B. (2015). The Revised Child Anxiety and Depression Scale—parent version: Extended applicability and validity for use with younger youth and children with histories of early-life caregiver neglect. Journal of Psychopathology and Behavioral Assessment, 37(4), 705–718.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kendall, P. C., Safford, S., Flannery-Schroeder, E., & Webb, A. (2004). Child anxiety treatment: Outcomes in adolescence and impact on substance use and depression at 7.4-year follow-up. Journal of Consulting and Clinical Psychology, 72(2), 276–287.

    Article  PubMed  Google Scholar 

  9. Langley, A. K., Bergman, R. L., McCracken, J., & Piacentini, J. C. (2004). Impairment in childhood anxiety disorders: Preliminary examination of the child anxiety impact scale-parent version. Journal of Child and Adolescent Psychopharmacology, 14(1), 105–114.

    Article  PubMed  Google Scholar 

  10. Mathyssek, C. M., Olino, T. M., Hartman, C. A., Ormel, J., Verhulst, F. C., & Van Oort, F. V. (2013). Does the Revised Child Anxiety and Depression Scale (RCADS) measure anxiety symptoms consistently across adolescence? The TRAILS study. International journal of methods in psychiatric research, 22(1), 27–35.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Woodward, L. J., & Fergusson, D. M. (2001). Life course outcomes of young people with anxiety disorders in adolescence. Journal of the American Academy of Child and Adolescent Psychiatry, 40(9), 1086–1093.

    Article  PubMed  CAS  Google Scholar 

  12. Garber, J., & Weersing, V. R. (2010). Comorbidity of anxiety and depression in youth: Implications for treatment and prevention. Clinical Psychology, 17(4), 293–306.

    PubMed  PubMed Central  Google Scholar 

  13. Rohde, P., Lewinsohn, P. M., & Seeley, J. R. (1994). Are adolescents changed by an episode of major depression? Journal of the American Academy of Child and Adolescent Psychiatry, 33(9), 1289–1298.

    Article  PubMed  CAS  Google Scholar 

  14. Weissman, M. M., Wolk, S., Wickramaratne, P., Goldstein, R. B., Adams, P., Greenwald, S., Ryan, N. D., Dahl, R. E., & Steinberg, D. (1999). Children with prepubertal-onset major depressive disorder and anxiety grown up. Archives of General Psychiatry, 56(9), 794–801.

    Article  PubMed  CAS  Google Scholar 

  15. Halbreich, U., & Kahn, L. S. (2007). Atypical depression, somatic depression and anxious depression in women: Are they gender-preferred phenotypes? Journal of Affective Disorders, 1021(1), 245–258.

    Article  Google Scholar 

  16. Teresi, J. A., & Fleishman, J. A. (2007). Differential item functioning and health assessment. Quality of Life Research, 16(1), 33–42.

    Article  PubMed  Google Scholar 

  17. Bares, C., Andrade, F., Delva, J., Grogan-Kaylor, A., & Kamata, A. (2012). Differential item functioning due to gender between depression and anxiety items among Chilean adolescents. The International Journal of Social Psychiatry, 58(4), 386–392.

    Article  PubMed  Google Scholar 

  18. Brunet, J., Sabiston, C. M., Chaiton, M., Low, N. C. P., Contreras, G., Barnett, T. A., & O’Loughlin, J. L. (2014). Measurement invariance of the depressive symptoms scale during adolescence. BMC Psychiatry, 14(1), 1–10.

    Article  Google Scholar 

  19. Byrne, B. M., Baron, P., & Balev, J. (1996). The Beck depression inventory: Testing for its factorial validity and invariance across gender for Bulgarian non-clinical adolescents. Personality and Individual Differences, 21(5), 641–651.

    Article  Google Scholar 

  20. Roberts, R. E., Andrews, J. A., Lewinsohn, P. M., & Hops, H. (1990). Assessment of depression in adolescents using the Center for Epidemiologic Studies Depression scale. Psychological Assessment, 2(2), 122–128.

    Article  Google Scholar 

  21. Choudhury, M. S., Pimentel, S. S., & Kendall, P. C. (2003). Childhood anxiety disorders: Parent–child (dis)agreement using a structured interview for the DSM-IV. Journal of the American Academy of Child and Adolescent Psychiatry, 42(8), 957–964.

    Article  PubMed  Google Scholar 

  22. Eiser, C., & Morse, R. (2001). Can parents rate their child’s health-related quality of life? Results of a systematic review. Quality of Life Research, 10(4), 347–357.

    Article  PubMed  CAS  Google Scholar 

  23. De Los Reyes, A., & Kazdin, A. E. (2005). Informant discrepancies in the assessment of childhood psychopathology: A critical review, theoretical framework, and recommendations for further study. Psychological Bulletin, 131(4), 483–509.

    Article  PubMed  Google Scholar 

  24. Grills, A. E., & Ollendick, T. H. (2003). Multiple informant agreement and the anxiety disorders interview schedule for parents and children. Journal of the American Academy of Child and Adolescent Psychiatry, 42(1), 30–40.

    Article  PubMed  Google Scholar 

  25. Maurizi, L. K., Gershoff, E. T., & Aber, J. L. (2012). Item-level discordance in parent and adolescent reports of parenting behavior and its implications for adolescents’ mental health and relationships with their parents. Journal of Youth and Adolescence, 41(8), 1035–1052.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Salbach-Andrae, H., Klinkowski, N., Lenz, K., & Lehmkuhl, U. (2009). Agreement between youth-reported and parent-reported psychopathology in a referred sample. European Child & Adolescent Psychiatry, 18(3), 136–143.

    Article  Google Scholar 

  27. Bagheri, Z., Jafari, P., Tashakor, E., Kouhpayeh, A., & Riazi, H. (2014). Assessing whether measurement invariance of the KIDSCREEN-27 across child–parent dyad depends on the child gender: A multiple group confirmatory factor analysis. Global Journal of Health Sciences, 6(5), 142–153.

    Google Scholar 

  28. Jafari, P., Allahyari, E., Salarzadeh, M., & Bagheri, Z. (2016). Item-level informant discrepancies across obese-overweight children and their parents on the PedsQL™ 4.0 instrument: An iterative hybrid ordinal logistic regression. Quality of Life Research, 25(1), 25–33.

    Article  PubMed  Google Scholar 

  29. Jafari, P., Bagheri, Z., Hashemi, S. Z., & Shalileh, K. (2013). Assessing whether parents and children perceive the meaning of the items in the PedsQLTM 4.0 quality of life instrument consistently: A differential item functioning analysis. Global Journal of Health Sciences, 5(5), 80–88.

    Google Scholar 

  30. Jafari, P., Sharafi, Z., Bagheri, Z., & Shalileh, S. (2014). Measurement equivalence of the KINDL questionnaire across child self-reports and parent proxy-reports: A comparison between item response theory and ordinal logistic regression. Child Psychiatry and Human Development, 45(3), 369–376.

    Article  PubMed  Google Scholar 

  31. Lin, C. Y., Luh, W. M., Cheng, C. P., Yang, A. L., Su, C. T., & Ma, H. I. (2013). Measurement equivalence across child self-reports and parent proxy-reports in the Chinese version of the pediatric quality of life inventory version 4.0. Child Psychiatry and Human Development, 44(5), 583–590.

    Article  PubMed  Google Scholar 

  32. Huang, I. C., Shenkman, E. A., Leite, W., Knapp, C. A., Thompson, L. A., & Revicki, D. A. (2009). Agreement was not found in adolescents’ quality of life rated by parents and adolescents. Journal of Clinical Epidemiology, 62(3), 337–346.

    Article  PubMed  Google Scholar 

  33. Dirks, M. A., Weersing, V. R., Warnick, E., Gonzalez, A., Alton, M., Dauser, C., Scahill, L., & Woolston, J. (2014). Parent and youth report of youth anxiety: Evidence for measurement invariance. Journal of child psychology and psychiatry, 55(3), 284–291.

    Article  PubMed  Google Scholar 

  34. Behrens, B., Swetlitz, C., Kircanski, K., Pine, D. S., & Pagliaccio, D. (2017). Measurement invariance of the scared questionnaire: Examining parent and child report of anxiety symptoms. Journal of the American Academy of Child & Adolescent Psychiatry, 56(10), S242.

    Article  Google Scholar 

  35. Trent, L. R., Buchanan, E., Ebesutani, C., Ale, C. M., Heiden, L., Hight, T. L., Damon, J. D.,… Young, J. (2013). A measurement invariance examination of the Revised Child Anxiety and Depression Scale in a Southern sample: Differential item functioning between African American and Caucasian youth. Assessment, 20(2), 175–187.

    Article  PubMed  Google Scholar 

  36. Finch, H., & Frenc, B. (2010). Detecting differential item functioning of a course satisfaction instrument in the presence of multilevel data. Journal of The First-Year Experience & Students in Transition, 22(1), 27–47.

    Google Scholar 

  37. Kline, P. (1994). An easy guide to factor analysis. London: Routledge.

    Google Scholar 

  38. Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255.

    Article  Google Scholar 

  39. Joreskog, K. G., & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 70(351), 631–639.

    Article  Google Scholar 

  40. Bye, B. V., Gallicchio, S. J., & Dykacz, J. M. (1985). Multiple-indicator, multiple-cause models for a single latent variable with ordinal indicators. Sociological Methods and Research, 13(4), 487–509.

    Article  Google Scholar 

  41. Kim, E. S., Yoon, M., Wen, Y., Luo, W., & Kwok, O. (2015). Within-level group factorial invariance with multilevel data: Multilevel factor mixture and multilevel MIMIC models. Structural Equation Modeling: A Multidisciplinary Journal, 22(4), 603–616.

    Article  Google Scholar 

  42. Cham, H., West, S. G., Ma, Y., & Aiken, L. S. (2012). Estimating latent variable interactions with non-normal observed data: A comparison of four approaches. Multivariate Behavioral Research, 47(6), 840–876.

    Article  PubMed  Google Scholar 

  43. Klein, A., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65(4), 457–474.

    Article  Google Scholar 

  44. Shenkman, E. A. (2011). Differential item functioning in quality of life measure between children with and without special health-care needs. Value in Health, 14(6), 872–883.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Davidov, E., Dülmer, H., Schlüter, E., Schmidt, P., & Meuleman, B. (2012). Using a multilevel structural equation modeling approach to explain cross-cultural measurement noninvariance. Journal of Cross-Cultural Psychology, 43(4), 558–575.

    Article  Google Scholar 

  46. Finch, H. (2005). The MIMIC model as a method for detecting DIF: Comparison with Mantel-Haenszel, SIBTEST, and the IRT likelihood ratio. Applied Psychological Measurement, 29(4), 278–295.

    Article  Google Scholar 

  47. Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences. Pacific Grove: Brooks/Cole.

    Google Scholar 

  48. Peugh, J. L. (2010). A practical guide to multilevel modeling. Journal of School Psychology, 48(1), 85–112.

    Article  PubMed  Google Scholar 

  49. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Lawrence Erlbaum Associates.

    Google Scholar 

  50. Zaidi, Z. F. (2010). Gender differences in human brain: A review. The Open Anatomy Journal, 2, 37–55.

    Article  Google Scholar 

  51. Nolen-Hoeksema, S., & Girgus, J. S. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin, 115(3), 424–443.

    Article  PubMed  CAS  Google Scholar 

  52. Bennett, D. S., Ambrosini, P. J., Kudes, D., Metz, C., & Rabinovich, H. (2005). Gender differences in adolescent depression: Do symptoms differ for boys and girls? Journal of Affective Disorders, 89(1–3), 35–44.

    Article  PubMed  Google Scholar 

  53. Verhoeven, M., Sawyer, M. G., & Spence, S. H. (2013). The factorial invariance of the CES-D during adolescence: Are symptom profiles for depression stable across gender and time? Journal of Adolescence, 36(1), 181–190.

    Article  PubMed  Google Scholar 

  54. Bisegger, C., Cloetta, B., von Rueden, U., Abel, T., Ravens-Sieberer, U., & European Kidscreen Group. (2005). Health-related quality of life: Gender differences in childhood and adolescence. Sozial- und Präventivmedizin, 50(5), 281–291.

    Article  PubMed  Google Scholar 

  55. Viira, R., & Koka, A. (2012). Gender differences in health-related quality of life among estonian adolescents: A 6-month follow-up. Acta Kinesiologiae Universitatis Tartuensis, 18, 84–93.

    Article  Google Scholar 

  56. Zahn-Waxler, C., Shirtcliff, E. A., & Marceau, K. (2008). Disorders of childhood and adolescence: Gender and psychopathology. Annual Review of Clinical Psychology, 4, 275–303.

    Article  PubMed  Google Scholar 

  57. Wren, F. J., Berg, E. A., Heiden, L. A., Kinnamon, C. J., Ohlson, L. A., Bridge, J. A., Birmaher, B., & Bernal, M. P. (2007). Childhood anxiety in a diverse primary care population: Parent–child reports, ethnicity and SCARED factor structure. Journal of the American Academy of Child and Adolescent Psychiatry, 46(3), 332–340.

    Article  PubMed  Google Scholar 

  58. Laursen, B., Coy, K. C., & Collins, W. A. (1998). Reconsidering changes in parent–child conflict across adolescence: A meta-analysis. Child Development, 69(3), 817–832.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Galambos, N. L., Leadbeater, B. J., & Barker, E. T. (2004). Gender differences in and risk factors for depression in adolescence: A 4-year longitudinal study. International Journal of Behavioral Development, 28(1), 16–25.

    Article  Google Scholar 

  60. Pine, D. S., Cohen, P., Gurley, D., Brook, J., & Ma, Y. (1998). The risk for early-adulthood anxiety and depressive disorders in adolescents with anxiety and depressive disorders. Archives of General Psychiatry, 55(1), 56–64.

    Article  PubMed  CAS  Google Scholar 

  61. Svedberg, P., Eriksson, M., & Boman, E. (2013). Associations between scores of psychosomatic health symptoms and health-related quality of life in children and adolescents. Health and Quality of Life Outcomes, 11, 176.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Kendall, P. C., Kortlander, E., Chansky, T. E., & Brady, E. U. (1992). Comorbidity of anxiety and depression in youth: Treatment implications. Journal of Consulting and Clinical Psychology, 60(6), 869–880.

    Article  PubMed  Google Scholar 

  63. Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398.

    Article  Google Scholar 

  64. Ryu, E. (2014). Factorial invariance in multilevel confirmatory factor analysis. The British Journal of Mathematical and Statistical Psychology, 67(1), 172–194.

    Article  PubMed  Google Scholar 

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Acknowledgements

This work was supported by a Grant (Number 94-01-01-9208) from Shiraz University of Medical Sciences Research Council. The article was extracted from Mahsa Akbari’s Master of Science thesis.

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Correspondence to Peyman Jafari.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the ethical and research committee of our institution, Shiraz University of Medical Sciences and also with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Bagheri, Z., Akbari, M., Jafari, P. et al. Assessing the measurement invariance of the RCADS-25 questionnaire across gender and child–parent dyads in the presence of multilevel data. Qual Life Res 28, 829–840 (2019). https://doi.org/10.1007/s11136-018-2049-3

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