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Race-norming, more formally called within-group score conversion and score adjustment strategy, is the practice of adjusting test scores to account for the race or ethnicity of the test-taker. [1] In the United States, it was first implemented by the Federal Government in 1981 with little publicity, [ 2 ] and was subsequently outlawed by the ...
[3] [2] [4] Some argue that these findings indicate that test bias plays a role in producing the gaps in IQ test scores. [5] Both of these tests demonstrate how cultural content on intelligence tests may lead to culturally biased score results. Still, these criticisms of cultural content may not apply to "culture free" tests of intelligence.
National Assessment of Educational Progress (NAEP); State achievement tests are standardized tests.These may be required in American public schools for the schools to receive federal funding, according to the US Public Law 107-110 originally passed as Elementary and Secondary Education Act of 1965, and currently authorized as Every Student Succeeds Act in 2015.
The first major revision of the MMPI was the MMPI-2, which was standardized on a new national sample of adults in the United States and released in 1989. [8] The new standardization was based on 2,600 individuals from a more representative background than the MMPI. [24] It is appropriate for use with adults 18 and over.
The race-norming in reported GATB individual results did not affect the demographic and statistical validity of the raw, unadjusted GATB scores. In 1990-1991 this practice became more widely known. The public controversy over it resulted in such race-norming of employment testing being explicitly outlawed by the Civil Rights Act of 1991. [5]
The reason for the development of the Chitling Test was to show that blacks and whites are fundamentally opposed in their manner of speech. [1] Some believe that many modern day tests are racially unfair and play to the advantage of the middle class, white population.
The student validation sample consisted of 396 undergraduate psychology students attending the same university as members of the scale development sample. All members of this sample This sample was similar to the scale development sample in terms of age and ethnicity, 30% White/Caucasian, 46% Asian/Asian-American, 8% Hispanic/Latino, 2% Black ...
Two out of three tests found no significant differences. One test found higher scores for non-white people. Moore (1986) compared black and mixed-race children adopted by either black or white middle-class families in the United States. Moore observed that 23 black and interracial children raised by white parents had a significantly higher mean ...