Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 21
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) on employment, earnings, and completion of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) on completion of training. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Virtual Interactive Training Agents (ViTA) program on training outcomes for students with disabilities. The study used an interrupted time…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthVillages’ YVLifeSet program on earnings and wages, employment, educational attainment, participation in vocational training, and public…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…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: Implementation Analysis
This article summarized the findings of a process evaluation of the Transitional Employment Training Demonstration, which aimed to transition Supplemental Security Income (SSI) recipients with…Study Type: Causal Impact Analysis
The study’s objective was to compare the impacts of individual training account (ITA) approaches on customers’ training completion, employment, earnings, and benefits receipt outcomes after 15…
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.