Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Credentials, Acceleration and Support for Employment (CASE) program on education and employment outcomes. The authors used a nonexperimental…Study Type: Causal Impact Analysis
The study examined the relationship between participation in extracurricular food service employment during culinary arts training and two eligible outcomes: students’ post-graduation employment in…Study Type: Causal Impact Analysis
The study examined the relationship between participation in extracurricular food service employment during culinary arts training and the proportion of culinary arts courses students successfully…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Commercial Food Equipment Service Technician (CFEST) program on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Healthcare Career Works! (HCW) program on education outcomes. The authors used a nonexperimental design to compare differences in education…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Knowledge to Work (K2W) program on education outcomes. The study used a non-experimental design to compare participants in the K2W program with…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the PluggedInVA (PIVA) program on education and employment outcomes. Using college administrative and state workforce data, the authors conducted a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Arizona Sun Corridor Get Into Energy Consortium (ASC-GIEC) program on student education 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.