Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 161 - 170 of 203
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Health Profession Opportunity Grant (HPOG) program on educational progress, earnings, and employment. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Advancing Careers and Training for Healthcare (ACT for Healthcare) program on education, earnings, and employment outcomes. Using college…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Skill‐UP Network Pathways Acceleration in Technology and Healthcare (SUN PATH) program on education, earnings, and employment outcomes. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Study Type: Causal Impact Analysis
The study aimed to examine the impact of supported employment on the employment outcomes of veterans with spinal cord injuries. The study included a randomized controlled trial and collected self-…Study Type: Causal Impact Analysis
The study examined the impact of tax changes on people’s employment, retirement, and labor income outcomes. The study uses a nonexperimental approach and the data from the Health and Retirement…Study Type: Causal Impact Analysis
The study examined the impact of changes to the Full Retirement Age (FRA) on labor force exit, Old Age and Survivor’s Insurance (OASI) claims, and retirement. The study uses a statistical model and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a comprehensive employment program on ex-offenders’ employment and wages. The authors randomly assigned former prisoners to an employment program…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Transitional Jobs Reentry Demonstration (TJRD) on ex-offenders’ employment and wages. The author used a randomized controlled trial to assign…
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.
