Living Systematic Annual Search and Review
- The systematic annual search and review (SASR) aims to ensure CLEAR includes the most up-to-date literature on topics of interest to CLEAR audiences, regardless of the size of the evidence base. To accomplish this, the SASR focuses on identifying labor-related research based on the time period it was released.
- The SASR follows a protocol to identify causal studies of a broad range of labor-related interventions—such as employment and training programs, unemployment services, workplace health and safety programs, employment benefits, workers’ compensation, and more— and assesses the quality of the evidence according to CLEAR’s causal evidence guidelines. The SASR considers as all causal studies on labor-related interventions to be eligible for review.
- Once reviewed, profiles summarizing and rating the studies are posted on CLEAR’s Systematic Annual Search webpage, and the relevant topic areas are updated with the latest evidence, as appropriate. All studies included in CLEAR’s database are searchable in the Search for Studies tab.
- CLEAR implements the SASR each year to find the latest research, and also runs other searches by specific time frames of interest, as resources allow.
Status: CLEAR is currently reviewing studies released in 2019.
Recently Added
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Vocational Rehabilitation (VR) services on employment outcomes. The study uses a nonexperimental design to compare employment outcomes of youth…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 National Career Coach Program (NCCP) on employment, earnings and wages, and health and safety for transitioning veterans. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of abstinence-contingent wage supplements on post-intervention employment for adults in opioid treatment. The study was a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Paycheck Plus in Atlanta on earnings and employment. Paycheck Plus is part of the Subsidized and Transitional Employment Demonstration (STED), a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Virtual Reality Job Interview Training (VR-JIT) on employment for individuals with serious mental illness in individual placement and support (IPS…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of plumbing apprenticeship programs on occupational health and safety among journey level plumbers.The authors used a statistical model to compare the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Worker Protection Standard (WPS) Entrenamiento de Pesticidas e Insolación que es Culturalmente Apropiada (PISCA) training on pesticide safety…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of vocational rehabilitation (VR) services on employment and earnings outcomes for transition-age youth with depressive disorders. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between minimum wage changes and employment in the restaurant industry for teens ages 16–17 and adults ages 23–59 with education less than an…
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.