Using Data to Inform the Science of Broadening Participation
Bibliographic Data
| ID | 3759394 |
|---|---|
| Authors | Donna K Ginther (0000-0002-0881-7969, University of Kansas, Lawrence, KS, USA, corresponding author) |
| Year | 2018 |
| Volume | 62 |
| Issue | 5 |
| Pages | 612-624 |
| Publication date | 2018-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764218768865 |
| OpenAlex | W2801333233 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
In this article, I describe how data and econometric methods can be used to study the science of broadening participation. I start by showing that theory can be used to structure the approach to using data to investigate gender and race/ethnicity differences in career outcomes. I also illustrate this process by examining whether women of color who apply for National Institutes of Health research funding are confronted with a double bind where race and gender compound their disadvantage relative to Whites. Although high-quality data are needed for understanding the barriers to broadening participation in science careers, it cannot fully explain why women and underrepresented minorities are less likely to be scientists or have less productive science careers. As researchers, it is important to use all forms of data-quantitative, experimental, and qualitative-to deepen our understanding of the barriers to broadening participation
Disadvantage · Epistemology · Ethnic group · Medical education · Political science · Process (computing) · Public relations · Qualitative property · Quality (philosophy) · Race (biology) · Sociology · Statistics · Underrepresented Minority · Computer Science · Diversity and Career in Medicine · Gender Studies · Health and Medical Research Impacts · Law · Mathematics · Medicine · Psychology · scientometrics and bibliometrics research
The impact of research grant funding on scientific productivity
Do Women Shy Away From Competition? Do Men Compete Too Much?
Women in Academic Science
Orchestrating Impartiality
Race, Ethnicity, and NIH Research Awards
Stereotypes
Chapter 113 Men, Women and Risk Aversion
The Economics of Discrimination
Discrimination in Labor Markets
Women Don't Ask
Gender Identity and Relative Income within Households
Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors
Gender Differences in Preferences
The Credibility Revolution in Empirical Economics
Women in Economics
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |