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 between 2020 and 2022.
Recently Added
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of bans on the use of applicant credit checks by employers on employment. The study used a differences-in-differences approach to examine how…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of government-sponsored employment programs on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes…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 General Education Development (GED) attainment and Therapeutic Community (TC) participation on earnings and employment following release from prison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes for youth. This profile focuses on the comparison between the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes for youth. This profile focuses on the comparison between the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes for youth. This profile focuses on the comparison between the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New Mexico Legislative Lottery Scholarship (NMLLS) on education outcomes. This study was a difference-in-differences design exploring the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a brief mindfulness-based self-care (MBSC) program on health outcomes among health care workers. The study used a randomized controlled trial…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of text messages on health and safety knowledge and behaviors. This study used a nonexperimental design to compare ergonomics knowledge and…
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.