Is Engineering Hostile to Women? An Analysis of Data from the 1993 National Survey of College Graduates

2000 ◽  
Vol 65 (2) ◽  
pp. 316 ◽  
Author(s):  
Laurie A. Morgan
Minerva ◽  
2021 ◽  
Author(s):  
John D. Skrentny ◽  
Kevin Lewis

AbstractStudies of education and careers in science, technology, engineering, and math (STEM) commonly use a pipeline metaphor to conceptualize forward movement and persistence. However, the “STEM pipeline” carries implicit assumptions regarding length (i.e. that it “starts” and “stops” at specific stages in one’s education or career), contents (i.e. that some occupational fields are “in” the pipeline while others are not), and perceived purpose (i.e. that “leakage,” or leaving STEM, constitutes failure). Using the National Survey of College Graduates, we empirically measure each of these dimensions. First, we show that a majority of STEM workers report skills training throughout their careers, suggesting no clear demarcation between education and work. Second, we show that using on-the-job expertise requirements (rather than occupational titles) paints a very different portrait of the STEM workforce—and persistence in it (where substantial attrition remains evident, especially among women and African Americans). Third, we show that STEM-educated workers are well-prepared for but dissatisfied with non-STEM jobs, complicating our understanding of leaving. Collectively, these results recommend expanded conceptions of STEM education and careers and contribute to studies of science and engineering workforce transitions and diversity.


2020 ◽  
Author(s):  
Jon Freeman ◽  
Adam P. Romero ◽  
Laura Durso

We respectfully submit this public comment in response to the National Science Foundation's proposed information collection request related to the 2019 National Survey of College Graduates (NSCG), published in the Federal Register at 83 FR 27354 by the National Science Foundation on June 12, 2018. We outline the importance of including sexual orientation and gender identity (SO/GI) demographic measures on the NSCG (and related NSF surveys) for advancing the U.S. scientific workforce, and the feasibility and precedent in implementing SO/GI measures in government surveys. The comment is cosigned by 17 scientific organizations and 244 scientists, engineers, and legal and policy scholars.


2010 ◽  
Vol 71 (2) ◽  
pp. 171-183 ◽  
Author(s):  
Darren Sweeper ◽  
Steven A. Smith

Using data from the 2003 National Survey of College Graduates, this paper examines earnings in the library science labor market and assesses the impact of gender on the income attainment process. We use this cross-sectional dataset to determine if there are significant income differences between male and female library science professionals. The approach taken in this paper is to build a theoretical model of income attainment for librarians. We then discuss the methodology used to analyze the data and test the model, followed by a discussion of the results and recommendations for further research.


2018 ◽  
Vol 7 (2) ◽  
pp. 175-200
Author(s):  
Tracy Schifeling ◽  
Jerome P Reiter ◽  
Maria Deyoreo

AbstractOften in surveys, key items are subject to measurement errors. Given just the data, it can be difficult to determine the extent and distribution of this error process and, hence, to obtain accurate inferences that involve the error-prone variables. In some settings, however, analysts have access to a data source on different individuals with high-quality measurements of the error-prone survey items. We present a data fusion framework for leveraging this information to improve inferences in the error-prone survey. The basic idea is to posit models about the rates at which individuals make errors, coupled with models for the values reported when errors are made. This can avoid the unrealistic assumption of conditional independence typically used in data fusion. We apply the approach on the reported values of educational attainments in the American Community Survey, using the National Survey of College Graduates as the high-quality data source. In doing so, we account for the sampling design used to select the National Survey of College Graduates. We also present a process for assessing the sensitivity of various analyses to different choices for the measurement error models. Supplemental material is available online.


2016 ◽  
Vol 4 (2) ◽  
pp. 175-195 ◽  
Author(s):  
Arthur Sakamoto ◽  
Sharron Xuanren Wang

We investigate the 2003 and 2010 National Survey of College Graduates to study the effects of education, job matching, employer characteristics, and occupation on wage inequality among college-educated workers. Various measures of workers’ bargaining power are considered in conjunction with indicators of employers’ rents. These organizational variables have been mostly ignored in recent research that has emphasized three-digit occupational codes. After controlling for organizational variables, our findings indicate that the incremental R2 uniquely attributable to occupation is small and increased only slightly between 2003 and 2010. As a proportion of the total explained variance, the component attributable to occupation actually declined. By contrast, after controlling for occupation, the incremental R2 attributable to organizational variables increased more substantially. Our results imply that wage inequality among college-educated workers is now more directly affected by employee bargaining power and employer rents than by occupation.


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