Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 191 - 200 of 208
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 three teaching innovations—a contract, confidence-building exercises, and encouragement to apply for science internships—on performance in an…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
The study’s objective was to examine the impact of participation in career or technical education (career tech) on post-high school employment for people with specific learning or intellectual…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Colorado Youth Work Incentive Network of Supports (WINS) project, sponsored by the Social Security Administration (SSA), one of six…Study Type: Causal Impact Analysis
This study’s objective was to measure 24-month impacts for the six Youth Transition Demonstration (YTD) sites that used a randomized evaluation. YTD projects provided services to help youth with…Study Type: Descriptive Analysis
A large share of new Social Security Disability (SSD) recipients—workers with disabilities and adult children with disabilities—are younger than 40. Better information on the backgrounds,…
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.