Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 421 - 430 of 610
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 examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to type 2 diabetes for Vietnam-era veterans on labor force participation, earnings, and receipt of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a paid supported work program for veterans diagnosed with schizophrenia or schizoaffective disorder on their employment, earnings, wages, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact the Transitional Assistance Program (TAP) had on outcomes related to employment, earnings, and education. The study used statistical models to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Cognitive Symptom Management and Rehabilitation Therapy (CogSMART) and enhanced supported employment (ESE) on employment, earnings, and health…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to cover type 2 diabetes for Vietnam-era veterans on their employment, earnings, and public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the G.I. Bill on education, employment, earnings. The authors used a nonexperimental comparison group analysis to estimate the impact of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) on earnings and employment outcomes. The authors used an interrupted…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) on education, earnings, and employment outcomes. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TAACCCT funded Transportation Academy program on education, earnings, and employment outcomes. The study used a nonexperimental design to…
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.