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来源类型 | Publication |
Sensitivity of Self-Reported Noncognitive Skills to Survey Administration Conditions | |
Yuanyuan Chen; Shuaizhang Feng; James J. Heckman; and Tim Kautz | |
发表日期 | 2020-01-14 |
出版者 | Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 2 |
出版年 | 2020 |
语种 | 英语 |
概述 | Recent evidence has shown that noncognitive skills matter for success in life and can be shaped through interventions.", |
摘要 | Recent evidence has shown that noncognitive skills matter for success in life and can be shaped through interventions. Because of this evidence, policy makers and researchers have increasingly become interested in measuring noncognitive skills and typically rely on self-reported measures in which respondents rate their own skills. Such self-reports have been applied in program evaluations, as well as school accountability and improvement systems. We demonstrate that self-reports are sensitive to survey administration conditions, including whether a survey administrator describes the skills being assessed and whether respondents receive incentives tied to performance on other tasks. These findings have implications for the interpretation of self-reported measures. Social policies or interventions might affect responses on self-reported noncognitive skills without affecting the skills themselves. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/sensitivity-of-self-reported-noncognitive-skills-to-survey-administration-conditions |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/489809 |
推荐引用方式 GB/T 7714 | Yuanyuan Chen,Shuaizhang Feng,James J. Heckman,et al. Sensitivity of Self-Reported Noncognitive Skills to Survey Administration Conditions. 2020. |
条目包含的文件 | 条目无相关文件。 |
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