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Journal of Child and Family Studies

, Volume 28, Issue 1, pp 1–16 | Cite as

The Work and Social Adjustment Scale for Youth: A Measure for Assessing Youth Psychosocial Impairment Regardless of Mental Health Status

  • Andres De Los ReyesEmail author
  • Bridget A. Makol
  • Sarah J. Racz
  • Eric A. Youngstrom
  • Matthew D. Lerner
  • Lauren M. Keeley
Original Paper
  • 132 Downloads

Abstract

A key component of delivering mental health services involves evaluating psychosocial impairments linked to mental health concerns. Youth may experience these impairments in various ways (e.g., dysfunctional family and/or peer relationships, poor school performance). Importantly, youth may display symptoms of mental illness without co-occurring psychosocial impairments, and the reverse may be true. However, all available instruments for assessing youth psychosocial impairments presume the presence of mental health concerns among those assessed. Consequently, key gaps exist in knowledge about the developmental psychopathology of psychosocial impairments; and thus how to understand impairments in the context of youth mental health. To address these issues we developed a modified version of a 5-item measure of adult psychosocial impairments (i.e., Work and Social Adjustment Scale for Youth [WSASY]) and tested its psychometric properties. A mixed clinical/community sample of adolescents and parents completed parallel versions of the WSASY, along with a multi-domain, multi-method battery of measures of adolescent internalizing and externalizing concerns, parent psychosocial functioning, adolescent-parent conflict, adolescent peer functioning, and observed social skills. On both versions of the WSASY, increased scores related to increased adolescent mental health concerns, adolescent–parent conflict, parent psychosocial dysfunction, and peer-related impairments. WSASY scores also distinguished adolescents who displayed co-occurring mental health concerns from those who did not, and related to observed social skills deficits within social interactions with unfamiliar peers. The WSASY opens doors to new areas of inquiry regarding the developmental psychopathology of impairment, including questions regarding the onset of impairments and their links to mental health.

Keywords

Adolescent Assessment Impairment Mental health Work and Social Adjustment Scale 

Notes

Author Contributions

A.D.L.R.: designed the study, assisted in executing the study, assisted with data analyses, and wrote the paper. B.A.M. and E.A.Y.: assisted with data analyses and collaborated in editing the paper. S.J.R., M.D.L., and L.M.K.: collaborated in editing the paper.

Funding

Effort by A.D.L.R. was supported, in part, by a grant from the Institute of Education Sciences (R324A180032). Effort by M.D.L. was supported, in part, by the National Institute of Mental Health (R01MH110585).

Compliance with Ethical Standards

Conflict of Interest

E.A.Y. has consulted about psychological assessment with Pearson, Janssen, Lundbeck, Joe Startup Technologies, and Western Psychological Services. The other authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the University of Maryland at College Park’s Institutional Review Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

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

References

  1. Allen, J. L., Lavallee, K. L., Herren, C., Ruhe, K., & Schneider, S. (2010). DSM-IV criteria for childhood separation anxiety disorder: Informant, age, and sex differences. Journal of Anxiety Disorders, 24, 946–952.  https://doi.org/10.1016/j.janxdis.2010.06.022.CrossRefGoogle Scholar
  2. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th edn.) (DSM-V). Washington, DC: American Psychiatric Association.CrossRefGoogle Scholar
  3. Beale, A., Keeley, L. M., Okuno, H., Szollos, S., Rausch, E., & Makol, B. A. et al. (2018). Efficient screening for impairments in peer functioning among mid-to-late adolescents receiving clinical assessments for social anxiety. Child and Youth Care Forum. Advance online publication, 47, 613–631.  https://doi.org/10.1007/s10566-018-9458-x.CrossRefGoogle Scholar
  4. Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory—Second Edition Manual. San Antonio, TX: The Psychological Corporation.Google Scholar
  5. Beidas, R. S., Stewart, R. E., Walsh, L., Lucas, S., Downey, M. M., Jackson, K., & Fernandez, T. Mandell, D. S. (2015). Free, brief, and validated: Standardized instruments for low-resource mental health settings. Cognitive and Behavioral Practice, 22, 5–19.  https://doi.org/10.1016/j.cbpra.2014.02.002.CrossRefGoogle Scholar
  6. Beidel, D. C., Rao, P. A., Scharfstein, L., Wong, N., & Alfano, C. A. (2010). Social skills and social phobia: An investigation of DSM-IV subtypes. Behaviour Research and Therapy, 48, 992–1001.  https://doi.org/10.1016/j.brat.2010.06.005.CrossRefGoogle Scholar
  7. Beidel, D. C., Turner, S. M., & Morris, T. L. (2000). Behavioral treatment of childhood social phobia. Journal of Consulting and Clinical Psychology, 68, 1072–1080.  https://doi.org/10.1037/0022-006X.68.6.1072.CrossRefGoogle Scholar
  8. Beidel, D. C., Turner, S. M., & Morris, T. L. (1995). A new inventory to assess childhood social anxiety and phobia: The Social Phobia and Anxiety Inventory for Children. Psychological Assessment, 7, 73–79.  https://doi.org/10.1037/1040-3590.7.1.73.CrossRefGoogle Scholar
  9. Blake, K., Cangelosi, S., Johnson-Brooks, S., & Belcher, H. M. (2007). Reliability of the GAF and CGAS with children exposed to trauma. Child Abuse and Neglect, 31, 909–915.  https://doi.org/10.1016/j.chiabu.2006.12.017.CrossRefGoogle Scholar
  10. Brainerd, C. J., Reyna, V. F., & Ceci, S. J. (2008). Developmental reversals in false memory: A review of data and theory. Psychological Bulletin, 134, 343–382.  https://doi.org/10.1037/0033-2909.134.3.343.CrossRefGoogle Scholar
  11. Byrne, B. M., Stewart, S. M., & Lee, P. W. H. (2004). Validating the Beck Depression Inventory-II for Hong Kong community adolescents. International Journal of Testing, 4, 199–216.  https://doi.org/10.1207/s15327574ijt0403_1.CrossRefGoogle Scholar
  12. Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S. et al. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders?. Clinical Psychological Science, 2, 119–137.  https://doi.org/10.1177/2167702613497473.CrossRefGoogle Scholar
  13. Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6, 284–290.  https://doi.org/10.1037/1040-3590.6.4.284.CrossRefGoogle Scholar
  14. Cleverley, K., Bennett, K., & Duku, E. (2013). Effects of functional impairment on internalizing symptom trajectories in adolescence: A longitudinal, growth curve modelling study. Journal of Adolescence, 36, 45–53.  https://doi.org/10.1016/j.adolescence.2012.09.001.CrossRefGoogle Scholar
  15. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. 2nd edn. Mahwah, NJ: Erlbaum.Google Scholar
  16. Costello, A. J., Edelbrock, C. S., Dulcan, M. K., & Kalas, R. (1984). Testing of the NIMH Diagnostic Interview Schedule for Children (DISC) in a clinical population (Contract No. DB-81-0027). Final report to the Center for Epidemiological Studies, National Institute for Mental Health. Pittsburgh: University of Pittsburgh.Google Scholar
  17. De Los Reyes, A., Augenstein, T. M., Wang, M., Thomas, S. A., Drabick, D. A. G., Burgers, D., & Rabinowitz, J. (2015). The validity of the multi-informant approach to assessing child and adolescent mental health. Psychological Bulletin, 141, 858–900.  https://doi.org/10.1037/a0038498N.CrossRefGoogle Scholar
  18. De Los Reyes, A., Thomas, S. A., Goodman, K. L., & Kundey, S. M. A. (2013). Principles underlying the use of multiple informants’ reports. Annual Review of Clinical Psychology, 9, 123–149.  https://doi.org/10.1146/annurev-clinpsy-050212-185617.CrossRefGoogle Scholar
  19. De Los Reyes, A., Aldao, A., Thomas, S. A., Daruwala, S. E., Swan, A. J., Van Wie, M. et al. (2012). Adolescent self-reports of social anxiety: Can they disagree with objective psychophysiological measures and still be valid?. Journal of Psychopathology and Behavioral Assessment, 34, 308–322.  https://doi.org/10.1007/s10862-012-9289-2.CrossRefGoogle Scholar
  20. De Los Reyes, A., Thomas, S. A., Swan, A. J., Ehrlich, K. B., Reynolds, E. K., Suarez, L. et al. (2012). “It depends on what you mean by ‘disagree’”: Differences between parent and child perceptions of parent-child conflict. Journal of Psychopathology and Behavioral Assessment, 34, 293–307.  https://doi.org/10.1007/s10862-012-9288-3.CrossRefGoogle Scholar
  21. Deros, D. E., Racz, S. J., Lipton, M. F., Augenstein, T. M., Karp, J. N., Keeley, L. M. et al. (2018). Multi-informant assessments of adolescent social anxiety: Adding clarity by leveraging reports from unfamiliar peer confederates. Behavior Therapy, 49, 84–98.  https://doi.org/10.1016/j.beth.2017.05.001.CrossRefGoogle Scholar
  22. Drabick, D. A. G., & Kendall, P. C. (2010). Developmental psychopathology and the diagnosis of mental health problems among youth. Clinical Psychology: Science and Practice, 17, 272–280.  https://doi.org/10.1111/j.1468-2850.2010.01219.x.Google Scholar
  23. Egger, H. L., Kondo, D., & Angold, A. (2006). The epidemiology and diagnostic issues in preschool attention-deficit/hyperactivity disorder: A review. Infants and Young Children, 19, 109–122.  https://doi.org/10.1097/00001163-200604000-00004.CrossRefGoogle Scholar
  24. Ehrenreich, J. T., Goldstein, C. R., Wright, L. R., & Barlow, D. H. (2009). Development of a unified protocol for the treatment of emotional disorders in youth. Child and Family Behavior Therapy, 31, 20–37.  https://doi.org/10.1080/07317100802701228.CrossRefGoogle Scholar
  25. Endicott, J., Nee, J., Harrison, W., & Blumenthal, R. (1993). Quality of life enjoyment and satisfaction questionnaire: A new measure. Psychopharmacology Bulletin, 29, 321–326.Google Scholar
  26. Epkins, C. C., & Heckler, D. R. (2011). Integrating etiological models of social anxiety and depression in youth: Evidence for a cumulative interpersonal risk model. Clinical Child and Family Psychology Review, 14, 329–376.  https://doi.org/10.1007/s10567-011-0101-8.CrossRefGoogle Scholar
  27. Essau, C. A., Sasagawa, S., & Frick, P. J. (2006). Callous-unemotional traits in a community sample of adolescents. Assessment, 13, 454–469.  https://doi.org/10.1177/1073191106287354.CrossRefGoogle Scholar
  28. Evans, S. C., Blossom, J. B., Canter, K. S., Poppert-Cordts, K., Kanine, R., Garcia, A., & Roberts, M. C. (2016). Self-reported emotion reactivity among early-adolescent girls: Evidence for convergent and discriminant validity in an urban community sample. Behavior Therapy, 47, 299–311.  https://doi.org/10.1016/j.beth.2016.01.003.CrossRefGoogle Scholar
  29. Francis, S. E., Ebesutani, C., & Chorpita, B. F. (2012). Differences in levels of functional impairment and rates of serious emotional disturbance between youth with internalizing and externalizing disorders when using the CAFAS or GAF to assess functional impairment. Journal of Emotional and Behavioral Disorders, 20, 226–240.  https://doi.org/10.1177/1063426610387607.CrossRefGoogle Scholar
  30. Frick, P. J. (2004). The Inventory of Callous-Unemotional Traits. New Orleans, LA: UNO. Retrieved from https://sites01.lsu.edu/faculty/pfricklab/icu/.
  31. Fabiano, G. A., Pelham, W. E., Waschbusch, D. A., Gnagy, E. M., Lahey, B. B., Chronis, A. M. et al. (2006). A practical measure of impairment: Psychometric properties of the Impairment Rating Scale in samples of children with attention-deficit/hyperactivity disorder and two school-based samples. Journal of Clinical Child and Adolescent Psychology, 35, 369–385.  https://doi.org/10.1207/s15374424jccp3503_3.CrossRefGoogle Scholar
  32. Fabiano, G. A., & Pelham, W. E. (2016). Impairment in children. In S. Goldstein & J. A. Naglieri (Eds.), Assessing Impairment (pp. 105–119). New York, NY: Springer.Google Scholar
  33. Gadow, K. D., Kaat, A. J., & Lecavalier, L. (2013). Relation of symptom‐induced impairment with other illness parameters in clinic‐referred youth. Journal of Child Psychology and Psychiatry, 54(11), 1198–1207.  https://doi.org/10.1111/jcpp.12077.CrossRefGoogle Scholar
  34. Glenn, C. R., Blumenthal, T. D., Klonsky, E. D., & Hajcak, G. (2011). Emotional reactivity in non-suicidal self-injury: Divergence between self-report and startle measures. International Journal of Psychophysiology, 80, 166–170.  https://doi.org/10.1016/j.ijpsycho.2011.02.016.CrossRefGoogle Scholar
  35. Glenn, L. E., Keeley, L. M., Szollos, S., Okuno, H., Wang, X., Rausch, E. et al. (2018). Trained observers’ ratings of adolescents’ social anxiety and social skills within controlled, cross-contextual social interactions with unfamiliar peer confederates. Journal of Psychopathology and Behavioral Assessment,  https://doi.org/10.1007/s10862-018-9676-4. Advance online publication.Google Scholar
  36. Goldstein, S., & Naglieri, J. A. (2016). Assessing impairment: From theory to practice. New York, NY: Springer.CrossRefGoogle Scholar
  37. Granic, I., & Patterson, G. R. (2006). Toward a comprehensive model of antisocial development: A dynamic systems approach. Psychological Review, 113, 101–131.  https://doi.org/10.1037/0033-295X.113.1.101.CrossRefGoogle Scholar
  38. Hussain, A., Weisaeth, L., & Heir, T. (2011). Psychiatric disorders and functional impairment among disaster victims after exposure to a natural disaster: a population based study. Journal of Affective Disorders, 128, 135–141.  https://doi.org/10.1016/j.jad.2010.06.018.CrossRefGoogle Scholar
  39. Jarrett, M. A., & Ollendick, T. H. (2008). A conceptual review of the comorbidity of attention-deficit/hyperactivity disorder and anxiety: Implications for future research and practice. Clinical Psychology Review, 28, 1266–1280.  https://doi.org/10.1016/j.cpr.2008.05.004.CrossRefGoogle Scholar
  40. Jarrett, M. A., Van Meter, A., Youngstrom, E. A., Hilton, D. C., & Ollendick, T. H. (2018). Evidence-based assessment of ADHD in youth using a receiver operating characteristic approach. Journal of Clinical Child & Adolescent Psychology, 47, 808–820.  https://doi.org/10.1080/15374416.2016.1225502.CrossRefGoogle Scholar
  41. Karp, J., Makol, B. A., Keeley, L. M., Qasmieh, N., Deros, D. E., Racz, S. J. et al. (2018). Convergent, incremental, and criterion-related validity of multi-informant assessments of adolescents’ fears of negative and positive evaluation. Clinical Psychology and Psychotherapy, 25, 217–230.  https://doi.org/10.1002/cpp.2156.CrossRefGoogle Scholar
  42. Kazdin, A. E., & Wassell, G. (2000). Therapeutic changes in children, parents, and families resulting from treatment of children with conduct problems. Journal of the American Academy of Child & Adolescent Psychiatry, 39, 414–420.  https://doi.org/10.1097/00004583-200004000-00009.CrossRefGoogle Scholar
  43. Keeley, L. M., Makol, B. A., Qasmieh, N., Deros, D. E., Karp, J. N., Lipton, M. F. et al. (2018). Validity of adolescent and parent reports on the Six-Item ADHD Self-Report Scale (ASRS-6) in clinical assessments of adolescent social anxiety. Journal of Child and Family Studies, 27, 1041–1053.  https://doi.org/10.1007/s10826-017-0950-y.CrossRefGoogle Scholar
  44. Keenan, K., Wroblewski, K., Hipwell, A., Loeber, R., & Stouthamer-Loeber, M. (2010). Age of onset, symptom threshold, and expansion of the nosology of conduct disorder for girls. Journal of Abnormal Psychology, 119, 689–698.  https://doi.org/10.1037/a0019346.CrossRefGoogle Scholar
  45. Kenwright, M., Marks, I., Graham, C., Franses, A., & Mataix-Cols, D. (2005). Brief scheduled phone support from a clinician to enhance computer-aided self-help for obsecessive-compulsive disorder: Randomized control trial. Journal of Clinical Psychology, 61, 1499–1508.  https://doi.org/10.1002/jclp.20204.CrossRefGoogle Scholar
  46. Kessler, R. C., Petukhova, M., Sampson, N. A., Zaslavsky, A. M., & Wittchen, H. U. (2012). Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States. International Journal of Methods in Psychiatric Research, 21, 169–184.  https://doi.org/10.1002/mpr.1359.CrossRefGoogle Scholar
  47. Kessler, R. C., Adler, L. A., Gruber, M. J., Sarawate, C. A., Spencer, T., & van Brunt, D. L. (2007). Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) screener in a representative sample of health plan members. International Journal of Methods in Psychiatric Research, 16, 52–65.  https://doi.org/10.1002/mpr.208.CrossRefGoogle Scholar
  48. Kimonis, E. R., Frick, P. J., Skeem, J. L., Marsee, M. A., Cruise, K., Munoz, L. C. et al. (2008). Assessing callous-unemotional traits in adolescent offenders: Validation of the Inventory of Callous-Unemotional Traits. International Journal of Law and Psychiatry, 31, 241–252.  https://doi.org/10.1016/j.ijlp.2008.04.002.CrossRefGoogle Scholar
  49. Kimonis, E. R., Branch, J., Hagman, B., Graham, N., & Miller, C. (2013). The psychometric properties of the Inventory of Callous-Unemotional Traits in an ungraduated sample. Psychological Assessment, 25, 84–93.  https://doi.org/10.1037/a0029024.CrossRefGoogle Scholar
  50. Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M. et al. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126, 454–477.  https://doi.org/10.1037/abn0000258.CrossRefGoogle Scholar
  51. Kristensen, P., Weisæth, L., Hussain, A., & Heir, T. (2015). Prevalence of psychiatric disorders and functional impairment after loss of a family member: A longitudinal study after the 2004 Tsunami. Depression and Anxiety, 32, 49–56.  https://doi.org/10.1002/da.22269.CrossRefGoogle Scholar
  52. Lipton, M. F., Augenstein, T. M., Weeks, J. W., & De Los Reyes, A. (2014). A multi-informant approach to assessing fear of positive evaluation in socially anxious adolescents. Journal of Child and Family Studies, 23, 1247–1257.  https://doi.org/10.1007/s10826-013-9785-3.CrossRefGoogle Scholar
  53. Liss, M., Harel, B., Fein, D., Allen, D., Dunn, M., Feinstein, C. et al. (2001). Predictors and correlates of adaptive functioning in children with developmental disorders. Journal of Autism and Developmental Disorders, 31, 219–230.  https://doi.org/10.1023/A:1010707417274.CrossRefGoogle Scholar
  54. Martz, E., Livneh, H., Southwick, S. M., & Pietrzak, R. H. (2018). Posttraumatic growth moderates the effect of posttraumatic stress on quality of life in US military veterans with life-threatening illness or injury. Journal of Psychosomatic Research, 109, 1–8.  https://doi.org/10.1016/j.jpsychores.2018.03.004.CrossRefGoogle Scholar
  55. Mataix-Cols, D., Cowley, A. J., Hankins, M., Schneider, A., Bachofen, M., Kenwright, M. et al. (2005). Reliability and validity of the Work and Social Adjustment Scale in phobic disorders. Comprehensive Psychiatry, 46, 223–228.  https://doi.org/10.1016/j.comppsych.2004.08.007.CrossRefGoogle Scholar
  56. Merikangas, K. R., He, J., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L. et al. (2010). Lifetime prevalence of mental disorders in U.S. adolescents: Results from the National Comorbidity Survey Replication-Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49, 980–989.  https://doi.org/10.1016/j.jaac.2010.05.017.CrossRefGoogle Scholar
  57. Mundt, J. C., Marks, I. M., Shear, M. K., & Greist, J. M. (2002). The Work and Social Adjustment Scale: A simple measure of impairment in functioning. The British Journal of Psychiatry, 180, 461–464.  https://doi.org/10.1192/bjp.180.5.461.CrossRefGoogle Scholar
  58. Nock, M. K., Wedig, M. M., Homberg, E. B., & Hooley, J. M. (2008). The Emotion Reactivity Scale: Development, evaluation, and relation to self-injurious thoughts and behaviors. Behavior Therapy, 39, 107–116.  https://doi.org/10.1016/j.beth.2007.05.005.CrossRefGoogle Scholar
  59. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. 3rd edn. New York, NY: McGraw-Hill.Google Scholar
  60. Osman, A., Barrios, F. X., Gutierrez, P. M., Williams, J. E., & Bailey, J. (2008). Psychometric properties of the Beck Depression Inventory-II in nonclinical adolescent samples. Journal of Clinical Psychology, 64, 83–102.  https://doi.org/10.1002/jclp.20433.CrossRefGoogle Scholar
  61. Pelham, Jr., W. E., Fabiano, G. A., & Massetti, G. M. (2005). Evidence-based assessment of attention deficit hyperactivity disorder in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34, 449–476.  https://doi.org/10.1207/s15374424jccp3403_5.CrossRefGoogle Scholar
  62. Prinz, R. J., Foster, S. L., Kent, R. N., & O’Leary, K. D. (1979). Multivariate assessment of conflict in distressed and nondistressed mother–adolescent dyads. Journal of Applied Behavior Analysis, 12, 691–700.  https://doi.org/10.1901/jaba.1979.12-691.CrossRefGoogle Scholar
  63. Rapee, R. M., Bögels, S. M., van der Sluis, C. M., Craske, M. G., & Ollendick, T. H. (2012). Annual research review: Conceptualising functional impairment in children and adolescence. Journal of Child Psychology and Psychiatry, 53, 454–468.  https://doi.org/10.1111/j.1469-7610.2011.02479.x.CrossRefGoogle Scholar
  64. Rausch, E., Racz, S. J., Augenstein, T. M., Keeley, L., Lipton, M. F., Szollos, S. et al. (2017). A multi-informant approach to measuring depressive symptoms in clinical assessments of adolescent social anxiety using the Beck Depression Inventory-II: Convergent, incremental, and criterion-related validity. Child and Youth Care Forum, 46, 661–683.  https://doi.org/10.1007/s10566-017-9403-4.CrossRefGoogle Scholar
  65. Renk, K., & Phares, V. (2004). Cross-informant ratings of social competence in children and adolescents. Clinical Psychology Review, 24, 239–254.  https://doi.org/10.1016/j.cpr.2004.01.004.CrossRefGoogle Scholar
  66. Ryan, J. J., Lopez, S. J., & Sumerall, S. W. (2001). Understanding test construction. In W. I. Dorfman & M. Hersen (Eds.), Understanding psychological assessment (pp. 1–15). New York, NY: Kluwer Academic/Plenum.Google Scholar
  67. Sanislow, C. A., Pine, D. S., Quinn, K. J., Kozak, M. J., Garvey, M. A., Heinssen, R. K. et al. (2010). Developing constructs for psychopathology research: Research domain criteria. Journal of Abnormal Psychology, 119, 631–639.  https://doi.org/10.1037/a0020909.CrossRefGoogle Scholar
  68. Scharfstein, L., Alfano, C., Beidel, D., & Wong, N. (2011). Children with generalized anxiety disorder do not have peer problems, just fewer friends. Child Psychiatry and Human Development, 42, 712–723.  https://doi.org/10.1007/s10578-011-0245-2.CrossRefGoogle Scholar
  69. Schorre, B. H., & Vandvik, I. H. (2004). Global assessment of psychosocial functioning in child and adolescent psychiatry: A review of three unidimensional scales (CGAS, GAF, GAPD). European Child and Adolescent Psychiatry, 13, 273–286.  https://doi.org/10.1007/s00787-004-0390-2.CrossRefGoogle Scholar
  70. Shaffer, D., Gould, M. S., Brasic, J., Ambrosini, P., Fisher, P., Bird, H., & Aluwahlia, S. (1983). A Children’s Global Assessment Scale (CGAS). Archives of General Psychiatry, 40, 1228–1231.  https://doi.org/10.1001/archpsyc.1983.01790100074010.CrossRefGoogle Scholar
  71. Silverman, W. K., & Ollendick, T. H. (2005). Evidence-based assessment of anxiety and its disorders in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34, 380–411.  https://doi.org/10.1207/s15374424jccp3403_2.CrossRefGoogle Scholar
  72. Silverman, W. K., & Albano, A. M. (1996). The Anxiety Disorders Interview Schedule for DSM-IV-Child and Parent Versions. London: Oxford University Press.Google Scholar
  73. Storch, E. A., Larson, M. J., Muroff, J., Caporino, N., Geller, D., Reid, J. M. et al. (2010). Predictors of functional impairment in pediatric obsessive-compulsive disorder. Journal of Anxiety Disorders, 24, 275–283.  https://doi.org/10.1016/j.janxdis.2009.12.004.CrossRefGoogle Scholar
  74. Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. 4th edn. Boston: Allyn and Bacon.Google Scholar
  75. Treutler, C. M., & Epkins, C. C. (2003). Are discrepancies among child, mother, and father reports on children’s behavior related to parents’ psychological symptoms and aspects of parent–child relationships? Journal of Abnormal Child Psychology, 31, 13–27.  https://doi.org/10.1023/A:1021765114434.CrossRefGoogle Scholar
  76. Thomas, S.A., Daruwala, S.E., Goepel, K.A., & De Los Reyes, A. (2012). Using the Subtle Avoidance Frequency Examination examination in adolescent social anxiety assessments. Child and Youth Care Forum, 41, 547–559.  https://doi.org/10.1007/s10566-012-9181-y.CrossRefGoogle Scholar
  77. U.S. Census Bureau. (2016). State and county quickfacts: Washington, DC. http://www.census.gov/quickfacts/table/PST045215/11,00
  78. Volkmar, F. R., Sparrow, S. S., Goudreau, D., Cicchetti, D. V., Paul, R., & Cohen, D. J. (1987). Social deficits in autism: An operational approach using the Vineland Adaptive Behavior Scales. Journal of the American Academy of Child and Adolescent Psychiatry, 26, 156–161.  https://doi.org/10.1097/00004583-198703000-00005.CrossRefGoogle Scholar
  79. Weisz, J. R., Chorpita, B. F., Palinkas, L. A., Schoenwald, S. K., Miranda, J., Bearman, S. K. et al. (2012). Testing standard and modular designs for psychotherapy treating depression, anxiety, and conduct problems in youth: A randomized effectiveness trial. Archives of General Psychiatry, 69, 274–282.  https://doi.org/10.1001/archgenpsychiatry.2011.147.CrossRefGoogle Scholar
  80. Whiteside, S.P. (2009). Adapting the Sheehan disability scale to assess child and parent impairment related to childhood anxiety disorders. Journal of Clinical Child & Adolescent Psychology, 38, 721–730.  https://doi.org/10.1080/15374410903103551.CrossRefGoogle Scholar
  81. Youngstrom, E. A. (2013). A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: We are ready to ROC. Journal of Pediatric Psychology, 39, 204–221.  https://doi.org/10.1093/jpepsy/jst062.CrossRefGoogle Scholar
  82. Youngstrom, E. A., Van Meter, A., Frazier, T. W., Hunsley, J., Prinstein, M. J., Ong, M.-L., & Youngstrom, J. K. (2017). Evidence-Based Assessment as an integrative model for applying psychological science to guide the voyage of treatment. Clinical Psychology: Science and Practice, 24, 331–363.  https://doi.org/10.1111/cpsp.12207.Google Scholar
  83. Zahra, D., Qureshi, A., Henley, W., Taylor, R., Quinn, C., Pooler, J. et al. (2014). The Work and Social Adjustment Scale: Reliability, sensitivity and value. International Journal of Psychiatry in Clinical Practice, 18, 131–138.  https://doi.org/10.3109/13651501.2014.894072.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Andres De Los Reyes
    • 1
    Email author
  • Bridget A. Makol
    • 1
  • Sarah J. Racz
    • 1
  • Eric A. Youngstrom
    • 2
  • Matthew D. Lerner
    • 3
  • Lauren M. Keeley
    • 1
  1. 1.Department of Psychology, Comprehensive Assessment and Intervention ProgramUniversity of MarylandCollege ParkUSA
  2. 2.Department of Psychology and NeuroscienceUniversity of North CarolinaChapel HillUSA
  3. 3.Department of PsychologyStony Brook UniversityStony BrookUSA

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