The registered apprenticeship and work-based learning topic area includes reviews of studies examining the effectiveness of work-based learning 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.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
2401
Findings:
Sectoral training and employment programs that offered specific pathways for occupational training and other career supports improved education and training outcomes, and some improved employment or earnings.
Subsidized and transitional employment improved employment and earnings in the short term.
Registered Apprenticeship (RA) improved employment and earnings, but the evidence base is small.
WIA training services had more favorable impacts on employment and earnings outcomes in the long term than in the short term, though these outcomes were mixed overall.
View full synthesis report: Apprenticeship and Work-Based Training Synthesis
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 110
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 Youth Career Connect (YCC) on education outcomes. The study used a nonexperimental design to compare the outcomes of students who participated…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Youth Career Connect (YCC) on education outcomes. The study used a nonexperimental design to compare the outcomes of students who participated…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Washington State’s Integrated Basic Education and Skills Training (I-BEST) on education and earnings outcomes. The study used a randomized…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-integrated learning (WIL) on employment. The study used a nonexperimental design to determine whether participation in WIL predicted…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of adult transition centers (ATC) on earnings and employment two- and three-years following release. The study used a nonexperimental design…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 employment, earnings, and completion of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of school-to-work (STW) programs on unemployment. The study used a nonexperimental design with data from the National Longitudinal Survey of Youth…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 registered apprenticeships on employment and earnings for dislocated workers. This study used a nonexperimental design to compare the outcomes…
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.