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EBA: Good Idea but Is It Feasible?

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Abstract

The use of evidence-based assessment practices seems to be a straightforward process to endorse. Having evidence that ties a practice to prediction, prescription, or process has the potential to advance overall practice in School Psychology in ways that have already been seen in medicine and, to a lesser degree, clinical psychology. However, the transition to an EBA focus would require substantial changes in how measures are created and validated, how new practitioners are taught to perform assessments and how current practitioners are educated into a new process, how interventions are conceptualized and tested, and how the progress of individuals receiving those interventions is monitored.

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References

  • Bayes, T., & Price, R. (1763). An essay towards solving a problem in the doctrine of chance. By the late Rev. Mr. Bayes, communicated by Mr. Price, in a letter to John Canton, M. A. And F. R. S. Philosophical Transactions of the Royal Society of London, 53, 370–418.

    Article  Google Scholar 

  • Caraguel, C., & Vanderstichel, R. (2013). The two-step Fagan’s nomogram: ad hoc interpretation of a diagnostic test result without calculation. Evidence Based Medicine, 18, 125–128.

    Article  PubMed  Google Scholar 

  • Devena, S. E., & Watkins, M. W. (2012). Diagnostic utility of WISC-IV general abilities index and cognitive proficiency index difference scores among children with ADHD. Journal of Applied School Psychology, 28, 133–154. https://doi.org/10.1080/15377903.2012.669743.

    Article  Google Scholar 

  • Evidence Based Assessment (n.d.). In Wikiversity. Retrieved October 3, 2018, from https://en.wikiversity.org/wiki/Evidence_based_assessment.

  • Foster, S. L., & Cone, J. D. (1995). Validity issues in clinical assessment. Psychological Assessment, 7, 248–260. https://doi.org/10.1037/1040-3590.7.3.248.

    Article  Google Scholar 

  • Garland, A. F., Kruse, M., & Aarons, G. A. (2003). Clinicians and outcome measurement: what’s the use? The Journal of Behavioral Health Services & Research, 30(4), 393–405. https://doi.org/10.1007/BF02287427.

    Article  Google Scholar 

  • Gilbody, S. M., House, A. O., & Sheldon, T. A. (2002). Psychiatrists in the UK do not use outcomes measures: National survey. British Journal of Psychiatry, 180(2), 101–103.

    Article  PubMed  Google Scholar 

  • Hunsley, J., & Mash, E. J. (2007). Evidenced-based assessment. Annual Review of Clinical Psychology, 3, 29–51. https://doi.org/10.1146/annurev.clinpsy.3.022806.091419.

    Article  PubMed  Google Scholar 

  • Jensen. P. S. (2003). Comorbidity and child psychopathology: Recommendations for the next decade. Joumal of Abnormal Child Psychology, 31, 293-300.

  • Jensen-Doss, A., & Hawley, K. M. (2010). Understanding barriers to evidence-based assessment: Clinician attitudes toward standardized assessment tools. Journal of Clinical Child and Adolescent Psychology, 39(6), 885–896.

  • Mash, E. J., & Hunsley, J. (2005). Evidence-based assessment of child and adolescent disorders: issues and challenges. Journal of Clinical Child & Adolescent Psychology, 34(3), 362–379. https://doi.org/10.1207/s15374424jccp3403pass:[_]1.

  • McFall, R. M., & Treat, T. A. (1999). Quantifying the information value of clinical assessments with signal detection theory. Annual Review of Psychology, 50(1), 215–241. https://doi.org/10.1146/annurev.psych.50.1.215.

    Article  PubMed  Google Scholar 

  • Meehl, P. E. (1989). Law and the fireside inductions (with postscript): some reflections of a clinical psychologist. Behavioral Sciences & the Law, 7, 521–550. https://doi.org/10.1002/bsl.2370070408.

    Article  Google Scholar 

  • Meehl, P. E., & Rosen, A. (1955). Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores. Psychological Bulletin, 55, 194–216. https://doi.org/10.1037/h0048070.

    Article  Google Scholar 

  • Moura, O., Simões, M. R., & Pereira, M. (2013). WISC-III cognitive profiles in children with developmental dyslexia: specific cognitive disability and diagnostic utility. Dyslexia, 20, 19–37. https://doi.org/10.1002/dys.1468.

    Article  PubMed  Google Scholar 

  • Styck, K. M., & Watkins, M. W. (2014). Discriminant validity of the WISC-IV culture-language interpretive matrix. Contemporary School Psychology, 18, 168–177. https://doi.org/10.1007/s40688-014-0021-y.

    Article  Google Scholar 

  • Weiner, I. B. (2003). Prediction and postdiction in clinical decision making. Clinical Psychology: Science and Practice, 10, 335–338. https://doi.org/10.1093/clipsy/bpg030.

    Article  Google Scholar 

  • Whiting, P. F., Rutjes, A. W., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., & Bossuyt, P. M. (2011). QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Annals of Internal Medicine, 155, 529–536. https://doi.org/10.1059/0003-4819.

    Article  PubMed  Google Scholar 

  • Youngstrom, E. (2008). Commentary: Evidence-based assessment is not avidence—based medicine—Commentary on evidence-based assessment of cognitive functioning in pediatric psychology. Journal of Pediatric Psychology, 33(9), 1015–1020.

  • Youngstrom, E. A. (2013). Future directions in psychological assessment: combining evidence-based medicine innovations with psychology’s historical strengths to enhance utility. Journal of Clinical Child & Adolescent Psychology, 42, 139–159. https://doi.org/10.1080/15374416.2012.736358.

    Article  Google Scholar 

  • Youngstrom, E. A. (2014). A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC. Journal of Pediatric Psychology, 39(2), 204–221. https://doi.org/10.1093/jpepsy/jst062.

    Article  PubMed  Google Scholar 

  • Youngstrom, E. A., & Van Meter, A. (2016). Empirically supported assessment of children and adolescents. Clinical Psychology: Science and Practice, 23(4), 327–347. https://doi.org/10.1111/cpsp.12172.

    Article  Google Scholar 

  • Youngstrom, E. A., Findling, R. L., Calabrese, J. R., Gracious, B. L., Demeter, C., DelPorto Bedoya, D., & Price, M. (2004). Comparing the diagnostic accuracy of six potential screening instruments for bipolar disorder in youths aged 5 to 17 years. Journal of the American Academy of Child and Adolescent Psychiatry, 43(7), 847–858. https://doi.org/10.1097/01.chi.0000125091.35109.1e.

    Article  PubMed  Google Scholar 

  • Youngstrom, E. A., Choukas-Bradley, S., Calhoun, C. D., & Jensen-Doss, A. (2014). Clinical guide to the evidenced-based assessment approach to diagnosis and treatment. Cognitive and Behavioral Practice, 22, 20–35.

    Article  Google Scholar 

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  1. William & Mary School of Education, PO Box 8795, Williamsburg, VA, 23188, USA

    Thomas J. Ward

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Ward, T.J. EBA: Good Idea but Is It Feasible?. Contemp School Psychol 23, 190–193 (2019). https://doi.org/10.1007/s40688-019-00239-y

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