Psychologists who test children for possible special education placement are obliged to incorporate parental input into the assessment process. This investigation studied the utility of a multidimensional, parent-informant questionnaire, the Personality Inventory for Children (PIC), as a screening measure for the need for special education services. PIC profiles from children in regular classrooms and classrooms for the learning disabled, emotionally impaired, and mentally impaired were used in discriminant function analyses to develop a set of hierarchical classification rules. Results of analyses within both a derivation and a replication sample indicated reasonably high correct classification rates for these rules. Also, results within a third sample of AfricanAmerican and White children matched for IQ suggested absence of classification bias by race. Implications of these results for use of the PIC in school assessments are discussed. Federal guidelines that define the basic categories of special education services (e.g., PL 94-142, Federal Register, 1977) specify that parental input must be considered in the placement of children. School psychologists and other assessment practitioners who evaluate referred children are thus obliged to gather parental observations about child adjustment that are relevant to the determination of the need for remedial services. Objective questionnaires are a common means to systematicall y gather parental observations (e.g., Lachar, 1993), which typically represent parental concerns across several adjustment domains with reports in each domain normed by child age and gender. Examples of parent-inform ant questionnaires with good psychometric properties that are widely used in school and child clinical evaluations include the recently revised Child Behavior Checklist (Achenbach, 1991) and the Personality Inventory for Children (PIC; Wirt, Lachar, Klinedinst, & Seat, 1984), the subject of this article. The PIC has characteristics that may be advantageous for its use in school settings. For example, the age range of the normative sample for the PIC spans the preschool, elementary, and high-school years and it has scales that reflect child cognitivedevelopmental status as well as emotional-behavioral adjustment. PIC profile scales (e.g., Lachar & Gdowski, 1979) and profile patterns (e.g., Kline, Lachar, & Gdowski, 1992) can be interpreted using empirically based guidelines. Finally, the research literature about the validity of the PIC in school assessments is relatively large, which we briefly summarize here. Scores from PIC scales constructed as measures of child cognitive-scholastic functioning (e.g., Achievement, Intellectual Screening, and Development) correlate about —.60 to —.40 with
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