Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 81 - 90 of 208
Study Type: Implementation Analysis
The study’s objective was to examine the implementation of the Young Adult Internship Program (YAIP) which focuses on providing training and paid internship work experience to disadvantaged youth…Study Type: Causal Impact Analysis
The objective of the study was to examine the impact of attending Early Colleges (ECs) on enrollment in postsecondary institutions and the likelihood of receiving a postsecondary degree. …Study Type: Causal Impact Analysis
The study examines the impact of Occupational Licensing (holding an active job certification or license) on hourly wages, weekly earnings, and hours worked per week. Using data from…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of minimum wage increases on unemployment and labor force participation using a national data set. The author estimated the near-term…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Bridges to Pathways (Bridges) on earnings, employment, and education outcomes. The study is a randomized controlled trial that randomly assigned…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Year Up's Professional Training Corps (PTC) on education outcomes. This study used a randomized controlled trial to compare completion rates…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Los Angeles Regional Initiative for Social Enterprise (LA:RISE) on employment and earnings. The study was a randomized controlled trial with…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…
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.