Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
| Alt, Martha Naomi | 1 |
| Boroush, Mark | 1 |
| Britt, Ronda | 1 |
| Burrelli, Joan S. | 1 |
| Burton, Lawrence | 1 |
| Chen, Xianglei | 1 |
| Christovich, Leslie | 1 |
| Dunnigan, Paula C. | 1 |
| Eagly, Alice H. | 1 |
| Falkenheim, Jaquelina C. | 1 |
| Hall, Leslie | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Elementary Secondary Education | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Two Year Colleges | 1 |
Audience
Location
| Asia | 2 |
| Africa | 1 |
| North America | 1 |
| South America | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 2 |
| Early Childhood Longitudinal… | 1 |
| National Assessment of… | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Miller, David I.; Eagly, Alice H.; Linn, Marcia C. – Journal of Educational Psychology, 2015
In the past 40 years, the proportion of women in science courses and careers has dramatically increased in some nations but not in others. Our research investigated how national differences in women's science participation related to gender-science stereotypes that associate science with men more than women. Data from ~350,000 participants in 66…
Descriptors: Females, Science Education, Scientists, Career Choice
Lehming, Rolf F.; Alt, Martha Naomi; Chen, Xianglei; Hall, Leslie; Burton, Lawrence; Burrelli, Joan S.; Kannankutty, Nirmala; Proudfoot, Steven; Regets, Mark C.; Boroush, Mark; Moris, Francisco A.; Wolfe, Raymond M.; Britt, Ronda; Christovich, Leslie; Hill, Derek; Falkenheim, Jaquelina C.; Dunnigan, Paula C. – National Science Foundation, 2010
"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising the major high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI is factual and policy neutral. It does not offer policy options, and it does not make policy recommendations. SEI employs a variety…
Descriptors: Statistical Data, Engineering, Sciences, Elementary Secondary Education

Peer reviewed
Direct link
