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Clinical Assessment of Child and Adolescent Personality and ...

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CHAPTER 4 STANDARDS AND FAIRNESS75The most popular method used for thestudy <strong>of</strong> construct validity bias is factoranalysis. Numerous researchers have usedsimilar procedures. The central characteristic<strong>of</strong> these procedures is to conductfactor analyses separately for various cultural<strong>and</strong> gender groups, <strong>and</strong> determineif a similar factor structure is yielded foreach group. The most popular procedurefor assessing agreement between factorstructures across groups is a coefficient <strong>of</strong>congruence, which is interpreted similar toa correlation coefficient.Lachar <strong>and</strong> Gruber (1994) provide anexample <strong>of</strong> this method for the <strong>Personality</strong>Inventory for Youth (see Chap. 6). Theyconducted factor analyses separately by gender<strong>and</strong> ethnicity, <strong>and</strong> then compared the factorsyielded separately for the groups. Theirfindings were similar to those for abilitytests (Kamphaus, 2001) in that correlationsbetween the obtained factors were uniformlyhigh, in the low 0.90 at their worst.Predictive Validity BiasThe final type <strong>of</strong> bias that has received agreat deal <strong>of</strong> attention is predictive validitybias. A working definition <strong>of</strong> predictivevalidity bias is“A test is considered biased with respect topredictive validity if the inference drawnfrom the test score is not made with thesmallest feasible r<strong>and</strong>om error or if there isconstant error in an inference for predictionas a function <strong>of</strong> membership in a particulargroup”. (p. 638) (Reynolds & Kaiser, 1990)The issue <strong>of</strong> predictive or criterion-relatedvalidity is that these coefficients should notdiffer significantly across cultural or gendergroups. One <strong>of</strong> the typical procedures in thisresearch literature is to compare the predictivevalidity coefficients across groups. Astudy might compare the ability <strong>of</strong> a depressionmeasure to predict future adjustmentfor various groups, for example.If different predictive validity coefficientswere obtained for two or more groups, theresults would be called slope bias. In order tounderst<strong>and</strong> the concept <strong>of</strong> slope bias, it ishelpful to recall how correlation coefficientsare learned in introductory statistics courses.Such procedures are typically taught by havingthe students collect data on two variables<strong>and</strong> plot the scores <strong>of</strong> a group <strong>of</strong> individualson these two variables. This plot results in ascatter plot. Then students compute a correlationcoefficient <strong>and</strong> draw a line <strong>of</strong> bestfit through the scatter plot. This line <strong>of</strong> bestfit is a visual representation <strong>of</strong> the slope. Acorrelation coefficient (predictive validitycoefficient) <strong>of</strong> 0.90 would produce a slopethat is very different from that obtainedwith a correlation coefficient <strong>of</strong> 0.30. Consequently,this form <strong>of</strong> bias in prediction is<strong>of</strong>ten referred to as slope bias.Summary Comments on BiasWhile psychometric evidence <strong>of</strong> test biascan be found, little compelling evidence<strong>of</strong> bias is found for various groups residingin the United States (Figueroa, 1990). As aresult, the focus has now changed to implicatetest misuse as the major contributingfactor to improper assessment <strong>of</strong> individual<strong>and</strong> groups <strong>of</strong> children. This misuse, however,includes more than individuals. Government,school district, or other entitiesmay, for example, create unwise policiesthat inadvertently produce biased <strong>and</strong> untowardoutcomes for children, such as imposingstrict cut-<strong>of</strong>f scores that affect assessment<strong>and</strong> conceptualization <strong>of</strong> the case.FairnessThe term fairness refers to “… the principlethat every test taker should be assessed inan equitable way” (AERA, APA, NCME,1999, p. 175). Some issues related to achievingthis objective are discussed in this section.The renewed focus on test use comes

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