Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 91 - 100 of 107
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Department of Correction’s EMPLOY work release program on post-release employment, earnings, and recidivism outcomes for incarcerated…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationships between the Ready4Work mentoring program and post-release employment and recidivism outcomes among previously incarcerated adults. The study…Study Type: Causal Impact Analysis
The study examined the impact of changes to the Social Security earnings test in 1996 and 2000 on employment outcomes. The authors used a nonexperimental design and the data from the Current…Study Type: Causal Impact Analysis
The study examined the impact of the repeal of the earnings test under the Senior Citizens Freedom to Work Act of 2000 on the labor supply and earnings of older men ages 62 to 72. The authors used a…Study Type: Causal Impact Analysis
The study had two objectives: (1) to examine the effect of OSHA citations on injuries (method 1) and (2) to examine the effect of changes in OSHA inspections on changes in days of work lost because…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of subsidized employment programs in five states on the employment and earnings outcomes of unemployed people. The focus of this profile is Florida’s…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in career or technical education (career tech) on post-high school employment for people with specific learning or intellectual…Study Type: Causal Impact Analysis
The study’s objective was to determine whether supported employment programs improved employment outcomes for Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI)…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Veterans Health Administration (VHA) Transitional Work Experience (TWE) program on employment and income for veterans with substance abuse and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a work flexibility intervention called STAR (Support. Transform. Achieve. Results) on workers’ expectations of retirement age and bridge jobs. 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.
