Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 55
Study Type: Descriptive Analysis
This study examined the career perspectives and decisions of women earning doctorates in chemistry in the United States. Specifically, the study looked at the factors women considered when making…Study Type: Descriptive Analysis
The article discussed how career counselors can use social cognitive career theory (SCCT), a theory that one’s background and characteristics influence self-efficacy and ultimately career choice, to…Study Type: Descriptive Analysis
This paper was a literature review of research about gender differences in STEM education levels and careers in the United States, including any evidence available for specific cultural, biological…Study Type: Descriptive Analysis
The authors explored the relationships among male and female engineering major undergraduates’ perceptions of research and researchers, their intellectual orientation toward people versus objects,…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’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
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 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
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…
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.