Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 401 - 410 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study assessed the effectiveness of a reemployment bonus on the reemployment rates of Unemployment Insurance (UI) claimants with differing expectations of being recalled to their previous jobs.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Connections to Employment (ACE) program on education, earnings, and employment outcomes. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Family Independence Initiative (FII) on education, earnings, employment, and public benefit receipt outcomes of low-income adults. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of continuing education programs on agricultural worker earnings and employment outcomes. The author used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study’s objective was to assess the effectiveness of Washington State WorkSource job search services. WorkSource services included staff-assisted job matching, provision of labor market…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Registered Apprenticeship (RA) program on employment and earnings. The authors compared outcomes for participants in the RA program with people…Study Type: Causal Impact Analysis
The study examined the impact of the Nevada Reemployment and Eligibility Assessment (REA) program on long-term employment, earnings, and Unemployment Insurance (UI) benefit receipt. This study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine whether providing job search information to unemployed job seekers affected their labor market outcomes. German citizens identified as unemployed were randomly…Study Type: Causal Impact Analysis
This study examined impacts of the Ticket to Work (TTW) program, a work incentive program for Social Security disability recipients, on achieving Social Security Disability Insurance (SSDI) return-…
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.