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Clinical Assessment of Child and Adolescent Personality and ...

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340chapter 15 integrating <strong>and</strong> interpreting assessment informationmost important <strong>and</strong> most difficult part <strong>of</strong>the evaluation is the integration <strong>of</strong> thisinformation into a clear case formulationthat answers the referral questions <strong>and</strong>points the way to the most appropriateintervention.Although we discuss integrating informationacross multiple domains <strong>of</strong> functioning<strong>and</strong> across multiple assessment techniques,a main focus <strong>of</strong> this chapter is on integratinginformation from different informants.This is a particularly difficult endeavorbecause one is theoretically obtaining thesame information on a child’s adjustmentfrom different sources. One might expectthat there would be a high degree <strong>of</strong> correlationbetween information provided bydifferent informants. Unfortunately, thisis not the case. A large body <strong>of</strong> researchhas indicated that there are generally quitesmall correlations between different informantsproviding the same type <strong>of</strong> information(Achenbach, McConaughy, & Howell,1987; De Los Reyes & Kazdin, 2005).One explanation for this low rate <strong>of</strong>agreement between informants is that differentpeople see a child in different settings.That is, the low correlations betweeninformants may reflect real differences ina child’s behavior across different settings.The meta-analysis conducted by Achenbachet al. (1987) provides some support forthis possibility. Across the 119 studies thatthey reviewed, the average correlation inratings between informants who see a childin different settings (e.g., parent/teacher)was .28. In contrast, the average correlationbetween informants who see a childin the same setting (e.g., pairs <strong>of</strong> parents orpairs <strong>of</strong> teachers) was .60. This substantialincrease in agreement between informantswho see a child in the same setting providesevidence that the lack <strong>of</strong> informant agreementreflects, at least in part, real situationalvariability in children’s behavior.Konold, Walthall, <strong>and</strong> Pianta (2004)also provide evidence to support the contentionthat much <strong>of</strong> the cross-informantdisagreement is due to situational specificbehaviors in children across settings. Specifically,these authors obtained parent <strong>and</strong>teacher ratings <strong>of</strong> young children’s behavior.They reported that the general form<strong>and</strong> factor loadings for the ratings werevery similar across mother, father, <strong>and</strong>teacher ratings, even though the correlationsamong the ratings from each informantwere fairly low. Thus, the low level<strong>of</strong> agreement appeared to be more likelydue to situation-specific behavior, than dueto the manner in which the behaviors weremeasured.This situational variability has importantimplications for clinical assessments.It suggests that to make sense <strong>of</strong> informationon a child’s emotional <strong>and</strong> behavioralfunctioning, a clinical assessor must alsoassess the contextual dem<strong>and</strong>s that mightinfluence a child’s behavior <strong>and</strong>, thereby,account for the discrepant information oneis obtaining. For example, a clinical assessormight be quite puzzled over a teacher’sreport <strong>of</strong> significant problems <strong>of</strong> inattention,disorganization, <strong>and</strong> hyperactivityat school, when it appears to be in starkcontrast to only minimal problems beingreported by a child’s parent. However, furtherassessment <strong>of</strong> the home context mayindicate that the parents do not put manydem<strong>and</strong>s for sustained attention, organization,or sitting still on the child at home. Asa result, the behaviors are not problematicin this setting.Another important aspect <strong>of</strong> the lack <strong>of</strong>agreement between informants is determiningthe level <strong>of</strong> analysis at which agreement isbeing measured. Individual behaviors tendto show less consistency across informantsthan broader dimensions or composites <strong>of</strong>multiple behaviors. A good example <strong>of</strong> thisphenomenon comes from a study by Biederman,Keenan, <strong>and</strong> Faraone (1990). In aclinic sample <strong>of</strong> children <strong>and</strong> adolescents,the average correlation between parent <strong>and</strong>teacher reports <strong>of</strong> individual symptoms <strong>of</strong>Attention-Deficit Hyperactivity Disorder

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