Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 561 - 570 of 610
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 study used a randomized controlled trial to assign…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Salem, Oregon, Valuing Individual Success and Increasing Opportunities Now (VISION) program on employment, earnings, and public benefits…Study Type: Causal Impact Analysis
The study’s objective was to gauge the effect of a Los Angeles job club focused on participants’ career interests on employment, earnings, and benefits receipt outcomes after about 18 months. The…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of a program designed to increase employment retention among low-wage workers in the long-term nursing care industry in Cleveland, Ohio. Cleveland…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) welfare-to-work program in New York City on the employment, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to determine the 18-month impact of Minnesota’s Tier 2 welfare-to-work program compared with existing Tier 1 services. Minnesota’s Tier 2 program was part of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Riverside Post-Assistance Self-Sufficiency (PASS) program on employment, earnings, and public benefits receipt after two years. The Riverside…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Riverside Community College’s New Visions Self-Sufficiency and Lifelong Learning Project on welfare recipients’ employment, earnings, welfare…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…
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.