ITW: Collaborative Research: Statistical Methodology for Studying Women and Minorities in Information Technology Careers Using CPS and SESTAT Data

机构：芝加哥大学提案编号：EIA 0089930PI：Michael D.Larmle标题：合作研究：使用CPS和SESTAT数据研究信息技术职业中的妇女和少数群体的统计方法这项CESE信息技术劳动力(ITW)提案要求资金找到一种统计方法，以处理感兴趣的特殊子组的小样本数据集的限制。将用于这项研究的数据集是当前人口调查(CPS)和NSF的SESTAT数据库。研究人员建议研究、开发和演示统计推断的方法，这些方法将提供比目前文献中出现的更好的推断结论。这些方法将解决的问题是，在考虑到所有相关的背景特征，如教育和经验后，妇女和信息技术行业代表性较低的少数群体在工资、升职率和工作责任方面是否存在差异。他们还将尝试确定IT职业生涯中成功女性和代表性不足的少数群体的独特特征。该项目有可能为使用CPS和SESTAT数据集的研究人员提供改进的方法，以及对从事IT职业的妇女和代表性不足的少数群体的见解。

Institution: University of ChicagoProposal Number: EIA 0089930PI: Michael D. LarsenTitle: Collaborative Research: Statistical Methodology for Studying Women and Minorities in Information Technology Careers Using CPS and SESTAT DataThis CISE Information Technology Workforce (ITW) proposal requests funds to find a statistical methodology for dealing with the limitations of data sets with small sample sizes for special subgroups of interest. The data sets to be used for the study are the Current Population Survey (CPS) and the NSF's SESTAT database. The researchers propose to study, develop, and demonstrate methods of statistical inference that will provide improved inferential conclusions than currently appear in the literature. These methods will address questions of whether or not, after taking into account all the relevant background characteristics such as education and experience, there are disparities in salary, promotion rates, and job responsibilities among women and underrepresented minorities in IT. They will also attempt to identify unique characteristics of successful women and underrepresented minorities in IT careers. This project has the potential to provide improved methodology for researchers using the CPS and SESTAT data sets as well as insights about women and underrepresented minorities who pursue IT careers.