Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 14
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Junior Apprenticeship Advantage (JAA) on education outcomes. The study used a nonexperimental design to compare the outcomes of individuals who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Food Stamp Employment and Training Program (FSET) on employment and credential completion rates. The authors used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the Treatment Alternatives for Safe Communities/Mental Illness Substance Abuse (TASC/MISA) program and a range of outcomes, including…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mississippi River Transportation, Distribution and Logistics (MRTDL) Consortium’s grant-funded programs on education outcomes. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Alabama-Florida Technical Employment Network (AF-TEN) on student education and employment outcomes. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Greater Cincinnati Manufacturing Careers Accelerator (GCMCA) program on education outcomes. The author used a nonexperimental design to compare…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…
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.
Domain
Effectiveness icon
