Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 30 of 102
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employer-based workplace education on wage growth at two mid-sized companies in New Jersey, one in the manufacturing sector and the other in the…Study Type: Causal Impact Analysis
This study examines the effectiveness of a specific prison work program called Prison Industry Enhancement Certification Program (PIECP) on employment, earnings, and recidivism after release. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a Job Training Partnership Act (JTPA) funded vocational training program at a community college in North Florida on earnings outcomes. The author…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Fund for Wisconsin Scholars (FFWS) on employment and earnings. This profile focuses on the outcomes for students enrolled in four-year colleges…Study Type: Causal Impact Analysis
The state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change to reduce access to job applicants’ criminal histories. The study’s…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Paid Family Leave (CA-PFL) program on earnings and wages. This study used a quasi-experimental, triple difference-in-differences design…Study Type: Causal Impact Analysis
The study objective was to examine the impact of the Sub-baccalaureate Postsecondary Education Program on the employment and earnings of adults with a high school education in Indiana. The author…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non-experimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the employment, earnings, and benefit receipt of low-income adults in Indiana. The author used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act apprenticeship programs in Washington State on participants’ employment rates, earnings, and public benefit receipt.…
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.
