Evidence based assessment

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Evidence-based assessment (EBA) refers to the use of research and theory to guide the choices about what to measure, how to measure it, and what to do next based on the results during a clinical evaluation [1]. Even when using scores from tests that have shown good results psychometrically in similar settings, the assessment process is inherently a decision-making task in which the clinician must iteratively formulate and test hypotheses by integrating data that are often incomplete and inconsistent[1]. EBA has been found to help clinicians in cognitively debiasing their clinical decisions[2].

Content areas[edit]

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Other topics[edit]

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These are important topics related to assessment. Several are constructs that have not yet been integrated with clinical assessment. Others are more in depth treatments of how to run the statistics to make more clinically useful effect sizes (e.g., ROC analyses and diagnostic likelihood ratios, or reliable change).

Future possibilities:

Other initiatives:

  • Helping Give Away Psychological Science -- on FaceBook and Wikiversity
  • The Future Directions Forum for the Journal of Clinical Child and Adolescent Psychology -- Wikiversity pages
  • Convention Programming Pages for the Society for Clinical Child and Adolescent Psychology -- Wikiversity pages

References[edit]

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  1. 1.0 1.1 Hunsley, J; Mash, EJ (2007). "Evidence-based assessment.". Annual review of clinical psychology 3: 29-51. PMID 17716047. 
  2. Jenkins, MM; Youngstrom, EA; Washburn, JJ; Youngstrom, JK (April 2011). "Evidence-Based Strategies Improve Assessment of Pediatric Bipolar Disorder by Community Practitioners.". Professional psychology, research and practice 42 (2): 121-129. PMID 21625392.