Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 121 - 130 of 304
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, employment, education, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on education, earnings, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Transitional Community Jobs (TCJ) on employment, earnings, and public benefit receipt outcomes. The study used a nonexperimental comparison group…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 earnings disregards—the amount of earned income that is not counted when calculating whether someone is eligible for public benefits—for welfare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New Hope program on employment, earnings, and public benefit receipt. The authors estimated the impact of the New Hope program by comparing…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 the Future Steps rural welfare-to-work program on earnings and public benefit receipt. The authors randomly assigned Temporary Assistance for Needy…
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.