Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Youth program on the employment rate and earnings of low-income youth. The authors used a nonexperimental method…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Private Career School program on the employment rate, earnings, and public benefit receipt of adults with a high school education. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Community and Technical Colleges Adult Basic Education (ABE) program on the employment, earnings, and public benefits receipt of low-income…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Community and Technical College (CTC) Worker Retraining program on the employment rate, earnings, and public benefit receipt of long-term…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as the moderating effects of mentor status and whether the mentor was male or female. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of America's Promise on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes of individuals who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Credentials to Careers (C2C) program on earnings. The authors used a nonexperimental design to compare outcomes of C2C participants to a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Adult Basic Skills (ABS) training on earnings and wages. The author used a nonexperimental design to compare the outcomes of adults who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of federal and state Medicaid expansions on hours worked per week, annual earned income, and participation in other public safety net programs among…Evaluation of Travis County investments in workforce development: 2019 update (Juniper et al., 2019)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of integrated and comprehensive employment services provided by the Workforce Education and Readiness Continuum - Travis County (WERC-TC), a consortium…
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.
