Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 301 - 310 of 794
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…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…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of individual training account (ITA) programs on employment, earnings, education and training, and benefit receipt. The authors conducted a randomized…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of post-employment job supports and supportive services on recent welfare recipients’ employment and benefits receipt outcomes after four years. The…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of post-employment job supports on former welfare recipients’ employment and benefits receipt outcomes after 1.5 years. The Eugene site was one of…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of the Portland Career Builders program on welfare recipients’ employment, earnings, and public benefits receipt outcomes after two years. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of subsidies paid to employers for hiring disadvantaged workers—specifically, the Work Opportunity Tax Credit and Welfare-to-Work Tax Credit—on…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Public Health Nurse (PHN) intervention on employment outcomes. The authors conducted a randomized controlled trial. Researchers used self-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of a telephone care management program, Working toward Wellness (WtW), on low-income depressed parents’ employment and earnings. The study used a…
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.