Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 41 - 50 of 55
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of facilitating Build IT, an extracurricular information technology (IT) program for middle-school girls, on the facilitators’ interest in STEM…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,…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of participating in a female-only STEM living-learning program on undergraduate female STEM majors’ intentions to pursue graduate studies in a STEM…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of interacting with a male or female upperclass student majoring in math and psychology (hereafter referred to as a male or female peer expert) on…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 gender on introductory calculus students’ attitudes toward math, compared with English…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 determine the effect of the 4 Schools for Women in Engineering (WIE) strategy on 8th-grade students’ attitudes toward STEM careers. The strategy involved forming teams…Study Type: Causal Impact Analysis
The study’s objective was to determine whether contact with an age-progressed visual representation of the self led participants to allocate more money to savings for retirement. The authors…Study Type: Causal Impact Analysis
Experiments Using Undergraduate Students This study used three experiments in a controlled setting to examine undergraduate students’ intuitions of retirement savings growth, understanding of…
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.