Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 10
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Fund for Wisconsin Scholars (FFWS) on employment and earnings. This profile focuses on the outcomes for students enrolled in two-year colleges.…Study Type: Causal Impact Analysis
The study’s objective is to examine the impact of 1983 and 2000 policy changes that removed the Social Security earnings test for certain age groups on the earnings and employment outcomes of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Quick Action Closing Fund (QACF) on per capita personal income. The authors used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state employment nondiscrimination acts on employment and earnings of cohabitating gay men and lesbian women. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of different employment and training activities of Ohio’s Job Opportunities and Basic Skills Training Program (JOBS) on employment and earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact Job Assistance Centers (JACs) and the Transition Assistance Program (TAP) offered to ex-servicemembers had on their earnings and public benefits…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Michigan Coalition for Advanced Manufacturing (M-CAM) program on earnings and employment outcomes. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of TAACCCT-funded programs at Thaddeus Stevens College of Technology (TSCT) on earnings outcomes. The study used a nonexperimental design to compare…Study Type: Causal Impact Analysis
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…
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.
Domain
Effectiveness icon
