Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 153
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing information about Social Security rules and benefits on labor force participation, knowledge of Social Security, and claiming of Social…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Breaking Barriers, a program implementing the Individual Placement and Support (IPS) model in a workforce setting, on employment, earnings, use of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Massachusetts Adolescent Outreach Program for Youths in Intensive Foster Care (Outreach) on youths’ education, employment, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of post-employment job supports and intensive case management on welfare recipients’ employment, earnings, and benefit receipt outcomes after two…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of workshops for job seekers on employment and training outcomes. The study used a randomized controlled trial (RCT) design, in which eligible…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Center for Employment Opportunities (CEO) transitional job program on earnings and employment outcomes. The authors conducted a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of the Growing America Through Entrepreneurship (Project GATE) demonstration project, which offered entrepreneurship training and business counseling…The Employment Retention and Advancement project: Early results from four sites. (Bloom et al. 2005)
Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of a Riverside, California, program to increase the earnings of welfare recipients after one year. The Riverside Phase 2 site was one of two in…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on former welfare recipients’ employment and benefits receipt outcomes after…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after one year…
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.
