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 21 - 30 of 33
Study Type: Descriptive Analysis
The study's objective was to suggest successful strategies for increasing the number of women and girls in STEM classes. The author used studies of other programs and lessons learned from personal…Study Type: Descriptive Analysis
This study described the implementation of the National Science Foundation Research Experiences for Undergraduates (REU) program at New York City College of Technology. This year-long program…Study Type: Descriptive Analysis
The study examined institutional and student factors that had the greatest effect on students’ decisions to persist in STEM majors, emphasizing factors promoting STEM degree completion for female…Study Type: Descriptive Analysis
The study’s objective was to determine whether middle and high school girls’ levels of interest and confidence in science and mathematics differed and to identify factors that promote their…Study Type: Causal Impact Analysis
The study’s objective was to determine whether universities participating in Transformative Graduate Education Programs (TGPs) conferred a greater number of science, technology, engineering, and…Study Type: Causal Impact Analysis
The study’s objective was to assess the long-term impact of Camp Reach, a summer engineering enrichment program for middle school girls, on enrollment in STEM courses in high school and college.…Study Type: Causal Impact Analysis
This study’s objective was to examine differences in the intended choice of college science, technology, engineering, and mathematics (STEM) majors between females and males enrolled in high school…Study Type: Causal Impact Analysis
The study examined the effect of providing information about effort requirements to succeed in a fictitious male-dominated eco-psychology master’s program on female students’ attitudes toward their…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in technology-based three-dimensional hands-on activities on middle school girls’ interest in becoming an engineer or technologist.…Study Type: Causal Impact Analysis
The study’s objective was to estimate the effects of a one-day annual conference on middle school girls’ (grades 6–8) and their parents’ interest in and knowledge of science, technology,…
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.