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    Assumptions of Intelligence tests

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    Are there any inherent reliability and validity issues that one should consider when administering intelligent tests?

    What situations might arise that would challenge the reliability and validity assumptions of intelligent tests and how might we controll them?

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    1. Intelligence tests are designed to measure when an individual has learned after being exposed to specific information (Cohen & Swerdlik2005., 2005, p. 20). The most basic issues regarding the reliability and validity of intelligence include: (a) bias, (b) population differences, and (c) the psychological nature of intelligence testing. In fact, research suggests that most critics of intelligence testing base their criticism on the bias in testing. For example, Suen and Greenspan (2009) examined a Spanish-language translation of the Wechsler Adult intelligence Scale III (WAIS-III) that was normed in Mexico for use in evaluating Spanish-speaking defendants to evaluate mental retardation in capital cases. The fidings showed that the Mexican norms produced full-scale scores on only 12 points higher.

    Additionally, they suggest that the tests were sometimes used for reasons that are similar to those used by proponents of placing students in special education based on race. Further, the study found six very serious problems with the norms such as (1) extremely poor reliability, (2) lack of a meaningful reference population, (3) lack of scale normalization, (4) exclusion of certain groups from the standardization sample, (5) use of incorrect statistics and ...

    Solution Summary

    This solution discusses the reliability and validity of intelligence tests.