R24PITFALLS AND BIASdevelop <strong>the</strong> verbal Army Alpha <strong>and</strong> nonverbal Army Beta tests, published in 1919. These tests were correlated with<strong>the</strong> Stanford-Binet, <strong>and</strong> by <strong>the</strong> end <strong>of</strong> World War One were administered to over two million American men (Gould1996; Sattler 2008, 220). Wechsler derived his Wechsler-Belleview Intelligence Scale, published in 1939, directlyfrom <strong>the</strong> Army Alpha <strong>and</strong> Beta tests, <strong>and</strong> it is from <strong>the</strong> Wechsler-Belleview Intelligence Scale that all subsequentWechsler tests, including <strong>the</strong> Wechsler Intelligence Scale for Children (WISC-all editions) were derived (Sattler2008, 220). Thus, intelligence tests have <strong>the</strong>ir foundations in school-based notions <strong>of</strong> ability <strong>and</strong> studentachievement, constructed from comparing <strong>and</strong> measuring pupils unsuccessful at certain tasks with <strong>the</strong> performance<strong>of</strong> pupils who are successful at those tasks. Every subsequent intelligence <strong>and</strong> ability test is st<strong>and</strong>ardized forthis same purpose, which, as Ceci (1991) observes, is a circular endeavor: “[s]chool failure is both explained by a lack<strong>of</strong> intelligence <strong>and</strong> is itself <strong>the</strong> basis for <strong>the</strong> definition <strong>of</strong> a lack <strong>of</strong> intelligence” (719).Cultural biasAccess to early educational experiences <strong>and</strong> equal educational opportunitiesBinet, who believed that individualized <strong>and</strong> special approaches to instruction could mediate academic difficulty,developed his test for <strong>the</strong> purpose <strong>of</strong> identifying children who needed extra assistance to be successful in school,ra<strong>the</strong>r than for labeling <strong>and</strong> categorizing <strong>the</strong>m. Indeed, most subsequent test developers have taken <strong>the</strong> view<strong>of</strong> tests as a means to label <strong>and</strong> categorize. Binet’s test measure acquired differences in intelligence (performance).Screening children in schools arose from <strong>the</strong> practice <strong>of</strong> early medical screening, used to detect disorders in orderto begin a treatment program. However, using educational screening to detect or predict a child’s potentialsuccess or difficulty in school is problematic, as <strong>the</strong>re are dimensions to intelligence beyond <strong>the</strong> analytical <strong>and</strong>memory abilities typically measured by intelligence tests <strong>and</strong> that can develop through school attendance <strong>and</strong>classroom experiences (Gredler 1997, 99). Sternberg’s triarchic <strong>the</strong>ory <strong>of</strong> intelligence posits that intelligence ismanifested in three dimensions: componential (information processing, performance, <strong>and</strong> knowledge acquisition),experiential (for example, insights, dealing with novelty), <strong>and</strong> contextual (how to use individual strengths <strong>and</strong>weaknesses) (Sattler 2008, 232—233). These three dimensions <strong>of</strong> intelligence take into account students’ learnedbehaviors, how students use <strong>the</strong>ir creative <strong>and</strong> practical abilities “to discern <strong>the</strong>ir strengths <strong>and</strong> weaknesses <strong>and</strong><strong>the</strong>n determine how to use <strong>the</strong>ir strengths <strong>and</strong> minimize <strong>the</strong>ir weaknesses” (Sattler 2008, 233).Exposure to schooling may in fact influence <strong>the</strong> ways that children take tests, <strong>and</strong> thus, may influence <strong>the</strong> interpretation<strong>of</strong> children’s performance on tests. For this reason, it is important to consider <strong>the</strong> educational, <strong>and</strong> cultural,experiences that children bring with <strong>the</strong>m into <strong>the</strong> testing situation (Alcock et al. 2008, 530). For pupils who havenot attended school or who have not had <strong>the</strong> opportunity to develop facility with pen <strong>and</strong> pencil/fine motor skilltasks, <strong>the</strong> coding <strong>and</strong> symbol search subtests scores could be reduced, not out <strong>of</strong> ability or intelligence, but out<strong>of</strong> unfamiliarity with <strong>the</strong> testing conditions. Intelligence tests also measure academic <strong>and</strong> performance behaviorsthat a child learns through exposure to <strong>the</strong> cultural contexts in which <strong>the</strong> tests were created <strong>and</strong> normed. If a
R25child does not come from a cultural majority community, <strong>the</strong>n school is <strong>the</strong> place where <strong>the</strong>se academic <strong>and</strong>performance behaviors are learned. If children are denied or delayed entry to school, or if <strong>the</strong>y are not providedequal educational opportunities based on teacher assumptions <strong>and</strong> lowered expectations, <strong>the</strong> child is less aptto learn <strong>the</strong>se behaviors <strong>and</strong> can <strong>the</strong>refore be expected to perform poorly on <strong>the</strong> tests that measure <strong>the</strong>se behaviors(Ceci 1991; Figueroa <strong>and</strong> Newsome 2006; Alcock et al., 2008). Sattler (2008) cautions that although children fromethnic minority populations indeed might have <strong>the</strong> skills to correctly answer questions on intelligence <strong>and</strong>achievement tests, “low-intelligence tests scores <strong>of</strong> some ethnic minority children may be a consequence <strong>of</strong> limited exposureto test content, <strong>of</strong> limited test-taking skills, <strong>and</strong>/or motivational factors” (165, author’s emphasis).Test content, stereotypes, <strong>and</strong> quality <strong>of</strong> schoolingIn <strong>the</strong> United States, <strong>the</strong> 1972 case <strong>of</strong> Larry P. v. Riles was <strong>the</strong> first to call into question <strong>the</strong> practice <strong>of</strong> using intelligencetests as <strong>the</strong> sole basis <strong>of</strong> placement in special classes for pupils with mild intellectual disabilities, with a Californiacourt’s finding that intelligence tests were culturally biased <strong>and</strong> banning <strong>the</strong>ir use when assessing African-Americanchildren for special education. As argued by an expert witness for <strong>the</strong> plaintiffs, <strong>the</strong> tests’ bias results from <strong>the</strong>fact that <strong>the</strong> tests were designed by white middle class psychologists from white middle class environments, suchthat children from different backgrounds (ethnic, racial, or class) could not be expected to have <strong>the</strong> same accessto <strong>and</strong> experiences with items on <strong>the</strong>se tests (Gordon <strong>and</strong> Rudert 1979, 180). More recently, Helms (2006) citesa report that most psychologists in <strong>the</strong> United States are educated <strong>and</strong> work in predominantly white environments<strong>and</strong> belong to predominantly white pr<strong>of</strong>essional associations, <strong>and</strong> read pr<strong>of</strong>essional journals edited by whiteeditorial boards, all environments that legitimize dominant knowledge <strong>and</strong> experiences (851).An examination <strong>of</strong> commonly used intelligence tests by Zoref <strong>and</strong> Williams (1980) found racial stereotypes in <strong>the</strong>tests, with racial stereotypes defined as non-white representations in items displaying stereotypical characteristicssuch as manual or unskilled labor, pr<strong>of</strong>essional sports, primitive culture or religion. In <strong>the</strong> Stanford-Binet Scale,for example, <strong>the</strong> only non-white representation is an Indian boy wondering why a lazy white boy walks while sittingdown, with <strong>the</strong> correct answer—presumably unknown to <strong>the</strong> Indian boy—that <strong>the</strong> white boy is riding a bicycle.On <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>, <strong>the</strong> overwhelming representation <strong>of</strong> white males in intelligence tests <strong>and</strong> <strong>the</strong> reflection <strong>of</strong><strong>the</strong> dominant culture in <strong>the</strong> test items mean that <strong>the</strong>se tests perpetuate <strong>the</strong> hegemony <strong>of</strong> a monocultural (whitemiddle class) social order (Zoref <strong>and</strong> Williams 1980, 320). For members <strong>of</strong> minority communities, <strong>the</strong>n, test scoresreflect what Skina, Knesting, <strong>and</strong> Bush (2002, 70) call “<strong>the</strong> tragic history <strong>of</strong> limited cultural <strong>and</strong> educationalopportunity” that leads to <strong>the</strong>se scores.<strong>Testing</strong> conditions <strong>and</strong> <strong>the</strong>ir impact on performanceThe ways that children interact with both <strong>the</strong> examiner <strong>and</strong> <strong>the</strong> testing conditions may also impact studentperformance on intelligence tests. Examiners must consider cultural <strong>and</strong> ethnic factors in establishing rapportwith children when conducting assessments <strong>and</strong> interpreting <strong>the</strong> assessment information <strong>and</strong> results (Sattler
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