Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 178
Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Adult Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Dislocated Worker Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data…Study Type: Causal Impact Analysis
The study examined the impact of Disability Compensation (DC) enrollment and benefit amount on labor force participation and earnings. The authors also examined the impact of the expansion of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Health Profession Opportunity Grant (HPOG) program on educational progress, earnings, and employment. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Advancing Careers and Training for Healthcare (ACT for Healthcare) program on education, earnings, and employment outcomes. Using college…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Skill‐UP Network Pathways Acceleration in Technology and Healthcare (SUN PATH) program on education, earnings, and employment outcomes. The…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the benefits of stackable certificates on education and earnings outcomes for full-time students with no prior post-secondary education. The author used a…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 receiving year-round Pell (YRP) funding on community college students’ enrollment, credit accumulation, degree completion, employment, and earnings…Study Type: Causal Impact Analysis
The study examined the impact of tax changes on people’s employment, retirement, and labor income outcomes. The study uses a nonexperimental approach and the data from the Health and Retirement…
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.
