This topic area focuses on programs, courses, and other interventions designed to foster interest and success among girls and women in STEM fields. CLEAR identified causal research that examined the effectiveness of these interventions and reviewed the studies against the causal guidelines.
Women in Science, Technology, Engineering, & Math (STEM)
Status: Literature reviewed in this topic area currently covers 1994 - 2014.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 54
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reading a paragraph-long biography of a female engineer on female engineering majors’ implicit and explicit attitudes toward math and English,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of male-dominated marketing of a fictitious eco-psychology program on female students’ interest in pursuing the program. Authors randomly assigned 49…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of New York City (NYC) STEM high schools on math and science test-taking behavior and scores. The study used regression analyses to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Supplemental Instruction in college science, technology, engineering, and mathematics (STEM) courses on the course grades earned at San Francisco…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of having a professor and teaching assistant (TA) of the same sex on introductory calculus students’ attitudes toward math, compared with English. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Gateway Science Workshop (GSW) program at a university in the United States on course grades. Using administrative data on course grades from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of “stereotype threat priming” on students’ grades in postsecondary science, technology, engineering, and mathematics (STEM) courses and on self-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing information to parents about the importance of STEM on their children’s decisions to enroll in advanced high school math and science…Study Type: Descriptive Analysis
The objective of the study was to develop and assess a program to facilitate associate professors’ promotion to full professor, paying particular attention to female associate professors in…Study Type: Descriptive Analysis
The study examined the overall and sex-specific impact of the Surprising Possibilities Imagined and Realized through Information Technology (SPIRIT) program on high school students’…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.