Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 21
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) dislocated worker program’s training services on the employment and earnings of dislocated workers. The authors…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,…High-involvement work practices and the opportunities for promotion in the organization (Bonet 2014)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employees’ participation in high-involvement work practices (HIWP) on their expected promotions. The author used regression methods in a…Study Type: Causal Impact Analysis
The study examined the impact of Washington State’s Self-Employment and Enterprise Demonstration (SEED) on reemployment via self-employment for Unemployment Insurance (UI) claimants. SEED was…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of the Pennsylvania Reemployment Bonus Demonstration Project on the unemployment insurance (UI) receipt, employment, and earnings of UI claimants…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Net impact study on annual earnings for the training benefits program 2002-2012 (Aviles et al. 2015)
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact and cost-benefit of the Training Benefits program on participants’ employment, earnings, and unemployment benefits. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study examined the impact of the Social Security statements issued by the Social Security Administration (SSA) on older men’s annual hours worked. The authors used a nonexperimental design and…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers help design training programs and provide them in a work…
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.
Domain
Effectiveness icon
