Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 371 - 380 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of financial schooling incentives (a scholarship and stipend) on school attendance and carpet weaving (a worst form of child labor) among youth ages…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact on employment of an intensive case management (ICM) program for substance-dependent women receiving Temporary Assistance for Needy Families (TANF).…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of being matched to employment through the Demand-Side Youth Offender Demonstration Project (DSYODP) Phase I on youths’ average weekly earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to compare the impacts of individual training account (ITA) approaches on customers’ training completion, employment, earnings, and benefits receipt outcomes after 15…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Family Investment Program (MFIP), a precursor to the national Temporary Assistance for Needy Families program, on employment,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states (Indiana, New York, Washington, and Wisconsin) on people’s public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states (Indiana, New York, Washington, and Wisconsin) on people’s public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states on people’s public benefit receipt, employment, and earnings. The authors…
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.