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 31 - 40 of 95
Study Type: Descriptive Analysis
The study’s objective was to summarize existing literature and identify future areas for research related to the relationship between parents’ and teachers’ gender stereotypes in math and children’s…Study Type: Descriptive Analysis
The study examined factors that influence teenage girls’ academic motivation in math, science, and English. The authors analyzed survey data from 579 girls ages 13 to 18 years old in Georgia and…Study Type: Descriptive Analysis
The study tested a hypothesis that women have higher undergraduate grade point averages (GPAs) than their male peers (referred to as a GPA advantage), and that the difference is most pronounced in…Study Type: Descriptive Analysis
In a study performed at a public coeducational middle school during the 2007–2008 school year, the author sought to determine whether students in single-sex science classes learned “the same science…Study Type: Descriptive Analysis
This study aimed to determine if student characteristics; financial aid receipt; and labor market conditions (such as unemployment, weekly wages, and professors’ salary) predicted doctoral degree…Study Type: Descriptive Analysis
The study examined relationships between statistics anxiety and attitudes about science in an introductory psychology statistics course in a small private Western university. Authors administered a…Study Type: Descriptive Analysis
This paper analyzed white and Latina middle school girls’ interest in and knowledge of careers in computer science following their participation in a voluntary after-school and summer school program…Study Type: Descriptive Analysis
The study examined the actual and intended persistence in the engineering field of 288 students entering engineering programs in 2003 at the Massachusetts Institute of Technology, the University of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of interacting with an upper-level college role model on female students’ beliefs that they could succeed as a computer science major. The study used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning about gender discrimination in the sciences on girls’ attitudes toward and interest in science. The study included middle school girls who…
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.