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 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 pre- and post-employment job supports and intensive case management on Temporary Assistance for Needy Families (TANF) recipients’ employment and…
- 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 welfare recipients’ employment and benefits receipt outcomes after three years. The Eugene site was one of…
- 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…
- 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…
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. 
 
    
 
 
 
 
 
 
 
 
 
 
 
 
 
 
