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White-Black differences in tech tilt: Support for Spearman's law and investment theories
Intelligence ( IF 3.613 ) Pub Date : 2021-01-05 , DOI: 10.1016/j.intell.2020.101504
Thomas R. Coyle

Tilt refers to an ability bias and is based on within subject differences between two abilities, indicating strength in one ability (e.g., math) and weakness in another ability (e.g., verbal). The current study examined tech tilt for Whites and Blacks, two groups with an average ability difference (favoring Whites) of about one standard deviation on tests of general intelligence (g). Tech tilt was based on differences in technical (mechanical, electronic) and academic (math or verbal) abilities on the Armed Services Vocational Aptitude Battery. These differences produced tech tilt (tech > academic) and academic tilt (academic > tech). Tech tilt correlated negatively with math and verbal abilities on college tests (SAT, ACT, PSAT), with weaker effects for Whites. White-Black differences in relations of tech tilt with the college tests were neutralized after removing g. In addition, tech tilt predicted jobs and college majors in STEM (science, technology, engineering, math). Relations of tech tilt with STEM criteria were generally larger (and more often significant) for Whites, but only for tech tilt based on technical and verbal abilities. The results are consistent with Spearman's Law of Diminishing Returns (SLODR). SLODR assumes that relations among tests should be weaker for higher ability groups (Whites compared to Blacks) and that non-g variance (related to non-ability factors such as vocational choice) should be more pronounced for higher ability groups. The negative relations of tech tilt with college tests support investment theories, which assume that investment in one ability (technical) comes at the expense of competing abilities (academic).



中文翻译:

技术倾斜方面的白黑差异:支持Spearman的定律和投资理论

倾斜是指一种能力偏差,它基于两种能力之间的主题差异,表明一种能力的优势(例如,数学)和另一种能力的劣势(例如,语言)。目前的研究调查技术倾斜的白人和黑人,两组平均相差能力约一个标准差对一般智力(测试(有利于白人)g ^)。技术倾斜是基于武装部队职业能力电池组在技术(机械,电子)和学术(数学或口头)能力上的差异。这些差异产生了技术倾向(技术>学术)和学术倾向(学术>技术)。技术倾斜相关具有大学考试(SAT,ACT,PSAT)的数学和语言能力,对白人的影响较弱。移除g后,技术倾斜度与大学考试之间的白黑差异将被抵消。此外,技术倾向可以预测STEM中的工作和大学专业(科学,技术,工程,数学)。对于白人而言,技术倾斜度与STEM标准的关系通常更大(并且通常更重要),但仅基于技术和语言能力的技术倾斜度才有意义。结果与斯皮尔曼的收益递减定律(SLODR)一致。SLODR假定测试之间的关系应为高能力的基团(白人相比黑人)和非弱一些对于能力较高的人群,差异(与非能力因素(例如职业选择)有关)应更明显。技术倾向与大学考试之间的负相关关系支持投资理论,该理论假设对一项能力(技术)的投资是以竞争能力(学术)为代价的。

更新日期:2021-01-11
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