Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 191 - 200 of 304
Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the Treatment Alternatives for Safe Communities/Mental Illness Substance Abuse (TASC/MISA) program and a range of outcomes, including…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a violent prisoner reentry program, the Serious and Violent Offender Reentry Initiative (SVORI), on several outcomes of female prisoners reentering…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of California’s Proposition 36 employment services on employment, earnings, receipt of public benefits, and recidivism. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reemployment services through the Worker Profiling and Reemployment System (WPRS) on unemployment insurance (UI) benefit receipt and earnings for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of reemployment services through the Worker Profiling and Reemployment System (WPRS) on unemployment insurance (UI) benefit receipt and earnings for…Study Type: Causal Impact Analysis
The study examined the impact of the Pennsylvania Reemployment Bonus Demonstration on the amount of Unemployment Insurance (UI) receipt and on earnings of UI claimants approximately one year after…Study Type: Causal Impact Analysis
The study examined the impact of receiving public labor exchange (PLX) job referrals and placements on the duration of Unemployment Insurance (UI) benefit receipt for UI recipients in Oregon and…
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.