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 27
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the 1983 Social Security reforms on employment status, hours worked, and receipt of disability benefits. The author used a difference…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of minimum wage increases on unemployment and labor force participation using a national data set. The author estimated the near-term…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of different employment and training activities of Ohio’s Job Opportunities and Basic Skills Training Program (JOBS) on employment and earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to determine whether the finding from a previous study that Internet job searches increased unemployment duration was upheld using more recent data. Specifically, the…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Executive Order 11246, a 1965 directive that subjected federal contractors to stringent antidiscrimination standards, by comparing the proportion of…Study Type: Causal Impact Analysis
The study examined the impact of prison-based adult basic education courses on post-release employment, earnings, and recidivism for incarcerated people who read below the 9th-grade level. The…Study Type: Causal Impact Analysis
The study examined the impacts of various Workforce Investment Act (WIA) programs and services on the employment rates of older participants who exited these programs. The study used a statistical…Study Type: Causal Impact Analysis
The study examined the impact of participation in prison-based adult basic education on post-release employment, earnings, and recidivism for incarcerated people who read below the 9th-grade level.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings…Study Type: Causal Impact Analysis
This study examines the relationship between mentoring and employees’ employment outcomes. Specifically, the study examines the relationship between psychosocial mentoring and turnover intention.…
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
