Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 281 - 290 of 776
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of child care subsidies through the Child Care and Development Fund (CCDF) program on the employment of low-income single mothers. The author used…Study Type: Causal Impact Analysis
The study examined the impact of the Minnesota Tier 2 program on employment, earnings, and receipt of public assistance for unemployed single parents. The study was a randomized controlled trial.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Building Nebraska Families (BNF) rural welfare-to-work program on employment, earnings, and public benefit receipt. The authors randomly…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New Hope program on employment, earnings, public benefits receipt, and educational attainment. The authors estimated the impact of the New Hope…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Virginia Initiative for Employment Not Welfare (TANF/VIEW) program on employment and credential completion rates. The authors used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Food Stamp Employment and Training Program (FSET) on employment and credential completion rates. The authors used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of two welfare-to-work programs—the Labor Force Attachment (LFA) program and the Human Capital Development (HCD) program—on the employment and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of a Riverside, California, program to increase the earnings of welfare recipients after one year. The Riverside Phase 2 site was one of two in…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of a Riverside, California, program to increase the earnings of welfare recipients after one year. The Riverside Phase 2 site was one of two in…
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.