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Linking early science and mathematics attitudes to long-term science, technology, engineering, and mathematics career attainment: latent class analysis with proximal and distal outcomes

机译:将早期的科学和数学态度与长期的科学,技术,工程和数学职业成就联系起来:具有近端和远端结果的潜在类别分析

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摘要

There is a need to identify students' early attitudes toward mathematics and science to better support their long-term persistence in science, technology, engineering, and mathematics (STEM) careers. Seventh graders from a nationally representative sample (N= 2,861) were classified based on their responses to questions about their attitudes toward mathematics and science using latent class analysis. Four distinct groups of students that differed in terms of their attitudes were identified. There were relationships between attitudinal group membership, demographic characteristics, mathematics and science achievement, and STEM career attainment. Females and underrepresented minorities were more likely to be in the positive attitude group. However, despite these early positive attitudes, females and underrepresented minorities were less likely to be employed in a STEM career some 20 years later. Information about student interests organized in this manner can be used to better target specific interventions to support and encourage persistence in STEM careers.
机译:有必要确定学生对数学和科学的早期态度,以更好地支持他们对科学,技术,工程和数学(STEM)事业的长期坚持。根据他们对有关数学和科学态度的问题的答案,使用潜在类别分析对来自全国代表性样本(N = 2,861)的七年级学生进行分类。确定了四个不同的学生群体,他们的态度有所不同。态度团体成员,人口统计学特征,数学和科学成就与STEM职业成就之间存在联系。女性和代表性不足的少数民族更有可能处于积极态度群体中。然而,尽管有这些早期的积极态度,但大约20年后,女性和代表性不足的少数族裔却不太可能受雇于STEM职业。以这种方式组织的有关学生兴趣的信息可用于更好地针对特定干预措施,以支持和鼓励STEM职业的持久性。

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