Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 7 of 7
Study Type: Causal Impact Analysis
The study's objective was to examine the net impact of 12 workforce development programs in Washington state on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefit receipt. The study was a randomized controlled trial. Using…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act apprenticeship programs in Washington State on participants’ employment rates, earnings, and public benefit receipt.…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 the Workforce Investment Act (WIA) Adult Program on the employment rate, earnings, and public benefit receipt of low-income adults in Washington…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of apprenticeship programs on employment rates, earnings, and benefit receipt. The authors used a nonexperimental method to compare the short-term (3…Study Type: Causal Impact Analysis
The study examined the impact of removing the Social Security earnings test on Social Security claims, earnings, and labor force participation for female beneficiaries. The study used a statistical…
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
