Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 153
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 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
This study explored the findings of a 2003–2009 evaluation of the Youth Transition Demonstration (YTD) program, which offered employment and self-sufficiency services and other support services to…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Maryland Career Transitions Program (CTP), one of six project sites of the larger Social Security Administration (SSA)-sponsored Youth…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Florida Broadened Horizons, Brighter Futures (BHBF) program, one of six project sites of the larger Youth Transition Demonstration (YTD…Study Type: Causal Impact Analysis
The study’s objective was to measure 12-month impacts of the West Virginia Youth Works project, one of six project sites of the larger Social Security Administration (SSA)-sponsored Youth Transition…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the City University of New York (CUNY) Youth Transition Demonstration Project (YTDP) in the Bronx, one of six project sites of the larger…
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.