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The racial achievement gap in the United States refers to disparities in educational achievement between differing ethnic/racial groups. [1] It manifests itself in a variety of ways: African-American and Hispanic students are more likely to earn lower grades, score lower on standardized tests, drop out of high school, and they are less likely to enter and complete college than whites, while ...
[14] [15] However, males score higher on standardized math tests, and these score gaps also increase with age. Male students also score higher on measures of college readiness, such as the AP Calculus exams [16] and the math section of the SAT. [17] [18] Significant race or sex differences exist in the completion of Algebra I. [19]
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 ...
Lynn, longtime editor of and contributor to Mankind Quarterly, has concentrated his research in race and intelligence on gathering and tabulating data purporting to show race differences in intelligence across the world. He has also made suggestions about the political implications of his data, including the revival of older theories of eugenics.
The following standardized tests are designed and/or administered by state education agencies and/or local school districts in order to measure academic achievement across multiple grade levels in elementary, middle and senior high school, as well as for high school graduation examinations to measure proficiency for high school graduation.
Large-scale learning assessments (LSLAs) is defined as a form of national or cross-national standardized testing that provide a snapshot of learning achievement for a group of learners in a given year and in a limited number of learning domains. [1] [2] The use of these assessments has been increasing around the globe and have also broadened in ...
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Value-added modeling (also known as value-added measurement, value-added analysis and value-added assessment) is a method of teacher evaluation that measures the teacher's contribution in a given year by comparing the current test scores of their students to the scores of those same students in previous school years, as well as to the scores of other students in the same grade.