Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 271 - 280 of 304
Study Type: Causal Impact Analysis
The study’s objective was to determine the effectiveness of a Chicago program to increase the earnings of Temporary Assistance for Needy Families (TANF) recipients after two years. The Chicago site…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 18 to…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 18 to…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of South Carolina’s Moving Up program on former welfare recipients’ employment, earnings and public benefits receipt outcomes after one year. The…Study Type: Causal Impact Analysis
The study’s objective was to determine the effectiveness of a Chicago program to increase the earnings of Temporary Assistance for Needy Families (TANF) recipients after one year. The Chicago site…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Riverside Community College’s New Visions Self-Sufficiency and Lifelong Learning Project on welfare recipients’ employment, earnings, and welfare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a pilot for Riverside Community College’s New Visions Self-Sufficiency and Lifelong Learning Project on welfare recipients’ welfare receipt. The…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: Causal Impact Analysis
The study’s objective was to measure eight-month impacts for Stage 1 of the Benefit Offset National Demonstration (BOND), which tested whether a more-generous work incentive for Social Security…
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.