Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 17 of 17
Study Type: Implementation Analysis
The study’s objective was to examine the implementation of the American Apprenticeship Initiative (AAI) which provides grants to expand Registered Apprenticeship Programs. This profile focuses on…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Adult Transition Centers (ATCs) on quarterly earnings and employment. The study used a quasi-experimental design to compare outcomes before…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of two welfare-to-work programs—the Labor Force Attachment (LFA) program and the Human Capital Development (HCD) program—on the employment and…Mentoring practices proven to broaden participation in STEM disciplines (Crumpton-Young et al. 2014)
Study Type: Descriptive Analysis
The study identified effective mentoring practices, mostly at postsecondary institutions, for women and minority students in science, technology, engineering, and mathematics (STEM) fields. The…Study Type: Causal Impact Analysis
The study’s objective was to examine how preventing employers from asking about an applicant’s criminal record in the early stage of the hiring process (ban-the-box) affected employment outcomes for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of accelerated paired courses on male African American and Latino students’ academic persistence. The study used a nonexperimental design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of the Year Up program on employment, earnings, and education outcomes. Year Up is an intensive, yearlong program that provides training 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.