The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on earnings and employment…
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 111 - 120 of 259
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of virtual mine rescue training on mine rescue process efficacy. Using survey data, the authors used an interrupted time series design to compare mine…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effects of the Maine is IT! program on education outcomes. The authors used a nonexperimental design to compare the outcomes of students enrolled in the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three different historical U.S. radon exposure standards on lung cancer mortality. The author used statistical models and data from the Colorado…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Heroes for Hire (H4H) program on education and earnings outcomes. The authors used a nonexperimental design to compare the education outcomes…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 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 the grant-funded DC Construction Academy (DCCA) program on education outcomes. The study used a nonexperimental design to compare the education…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.