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 107
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild AmeriCorps programs that grant a high school diploma (Diploma-only) on employment, and education and training. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of monetary incentives on absences from work for adolescents employed in part-time jobs. The study used an interrupted time series…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Medicaid expansion under the Affordable Care Act (ACA) on individuals’ reasons for working part-time (due to health issues or to other factors)…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Affordable Care Act (ACA) on the probability of retirement, expected age of retirement, and expected age of claiming Social Security…Study Type: Causal Impact Analysis
The study examined the impact of the Wellness and Vocational Enrichment Clinic (WAVE), a conventional vocational rehabilitation program with some elements of supported employment, on veterans’…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the national health policies of the United States and Denmark on employment of older workers after a health shock, defined as a new cancer or…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of state minimum wage increases on employment. The authors used a difference-in-difference design to estimate the impacts of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of additional grant funds—beyond what is typically received through Teach For America’s (TFA) Transitional Grants and Loans program—…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of additional funds through a loan—beyond what is typically received through Teach For America’s) Transitional Grants and Loans…Interactive theater: An effective tool to reduce gender bias in faculty searches (Shea et al., 2019)
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Gender Equity and Recruitment of Underrepresented People (GEAR UP) workshop on employment. The study used an interrupted time…
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.
