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 LearningStatus: 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.
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 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 the P-TECH 9-14 model on education outcomes. The study was a randomized controlled trial in New York City schools. Using administrative data…
- 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 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 Community Restitution Apprenticeship-Focused Training (CRAFT) on employment and education outcomes. The study was a randomized controlled trial…
- 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 the P-TECH 9-14 model on credit accumulation. The study was a randomized controlled trial in New York City schools. Using NYC Department of…
- Study Type: Causal Impact Analysis The study’s objective was to examine the impact of participating in apprenticeship programs registered with the state of Washington on employment rates, earnings, and benefit receipt. The authors…
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. 
 
    
 
 
 
 
 
 
 
 
 
 
 
 
 
 
