Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 153
Study Type: Descriptive Analysis
The study examined existing empirical research on the challenges that minority women have faced in science, technology, engineering, and mathematics (STEM) disciplines at the undergraduate and…Study Type: Descriptive Analysis
The study described factors that might increase young Latinas’ enrollment in pre-engineering programs. The authors reviewed a case study of middle and high school Latina students in the rural…Study Type: Descriptive Analysis
The authors described two programs partnering with California community colleges—the Mathematics, Engineering, Science Achievement Community College Program (MCCP) and the CalWomen Tech Program—that…Women in industrial engineering: Stereotypes, persistence, and perspectives (Brawner & Camacho 2012)
Study Type: Descriptive Analysis
This study explored why more women major in industrial engineering in college than other engineering fields. The authors tabulated quantitative data from eight colleges and universities in the…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: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBSTART program on employment, earnings, and education and training outcomes over a four-year follow-up period. About 2,300 youth were…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
The study’s objective was to examine the impact of the FIRST Robotics Competition (FRC) on participants’ education and career outcomes. The FRC was a six-week competition in which teams of high…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reading a passage featuring a pro-social context on careers in physics on female students’ interest in science. The authors randomly assigned 88…Study Type: Causal Impact Analysis
The study’s objective was to examine how participating in a study-designed program called the Jornada Intervention affected undergraduate female engineering students’ attitudes toward and…
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.