Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 84
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in building trades apprenticeship programs sponsored jointly by employers and unions on apprentices’ program completion rates. The…Study Type: Causal Impact Analysis
The study examined the impact of the 2007 Work Opportunity Tax Credit (WOTC) on the employment and earnings outcomes among veterans with disabilities. The authors used a nonexperimental approach and…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the risk factor-based decision making (RFBDM) program and employment attainment. The study used a non-experimental comparison-group…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 Community College Consortium for Bioscience Credentials (c3bc) redesigned courses on course completion rates. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of enhancements to the Rural Information Technology Alliance (RITA) program 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 Amplifying Montana’s Advanced Manufacturing and Innovation and Industry (AMAMII) program on education outcomes. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the University of Vermont’s (UVM) Science, Technology, Engineering and Math (STEM) Connect program on earnings and employment outcomes. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…
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.