Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, and public assistance receipt for low-income families with young children.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, public assistance receipt, and education for low-income families with young…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 four…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of a Cleveland, Ohio, program designed to increase employment retention among low-wage workers in the long-term nursing care industry. Cleveland…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. The Chicago site was one of 16…Study Type: Causal Impact Analysis
The study’s objective was to gauge how a Los Angeles job club focused on participants’ career interests affected employment, earnings, and benefits receipt outcomes after about 36 months. The Los…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of individualized and flexible post-employment job supports on employed welfare recipients’ employment and benefits receipt outcomes after three…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of post-employment job supports and intensive case management on 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 and current public assistance recipients’ employment and benefits receipt outcomes after three years. The…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…
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.