Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 68
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Golden Triangle Modern Manufacturing Project on education, earnings, and employment outcomes. The author used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Kansas Technical Re/training Among Industry-targeted Networks (KanTRAIN) program on education, earnings, and employment outcomes. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Shipbuilding/Marine Advanced Manufacturing Institute (SAMI) program on earnings and employment outcomes. Using data from the SAMI program…Study Type: Causal Impact Analysis
The study aimed to examine the impact of a strengths-based case management intervention on veterans’ employment and earnings. Even though the treatment and control groups were randomly assigned, the…Study Type: Causal Impact Analysis
The study ’s objective was to examine the impact of a transitional work experience (TWE) program, within the Veterans Health Administration’s (VHA’s) Compensated Work Therapy (CWT) program, on…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of veteran benefits on the post-service education and earnings of soldiers who served in the Vietnam era and in the first years of the All-Volunteer…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an occupational skills training program on employment and earnings outcomes. The study used statistical methods to compare the outcomes of people…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 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’s objective was to examine the impact of participating in the Integrated Product Development (IPD) program on dislocated workers’ entrepreneurial activities. The authors used data from a…
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.
