The registered apprenticeship and work-based learning topic area includes reviews of studies examining the effectiveness of work-based training programs on participants’ employment and earnings outcomes. CLEAR assessed the strength of causal evidence provided in each study and summarized each study’s design, methods, findings, and the program examined.
Registered Apprenticeship and Work-Based Learning
Status: Literature reviewed in this evidence review covers 2005 – 2023. An updated review protocol has been posted as of June 2024.
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 108
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based learning (WBL) on employment and earnings.The study used a nonexperimental design to compare the outcomes of college graduates who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Urban Alliance High School Internship Program on employment, earnings, and education outcomes. The study used a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Career Pathways on employment and earnings outcomes. The study was a randomized controlled trial where adults were randomly assigned to a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Year Up program on employment, earnings, education, and public benefits receipt outcomes. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based courses on employment and earnings. The study used a nonexperimental design to compare outcomes of students who enrolled in work-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) on completion of training. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of NAF on high school graduation rates. The study used a nonexperimental design to compare the outcomes of students who participated in NAF to a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Workforce Investment Act (WIA) youth program on employment outcomes. The study used a nonexperimental design with a matched comparison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of America's Promise on employment and earnings 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 P-TECH 9-14 model on education outcomes. The study was a randomized controlled trial in New York City schools. Using administrative data…
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.