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 589
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. The authors investigated similar research questions in…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. The authors investigated similar research questions in…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as to what extent effects are moderated by whether or not the mentor was senior and male. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mental Health Treatment Study (MHTS), which provided supported employment services to Social Security Disability Insurance (SSDI) recipients…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the WorkAdvance sectoral training program on employment and earnings outcomes. This profile focuses on the pooled evaluation findings. 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
This study’s objective was to examine short-term (that is, 6- to 12-month) impacts of the Demonstration to Maintain Independence and Employment (DMIE). DMIE was implemented in Hawaii, Kansas,…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 cooperative education on education, earnings, and employment outcomes. The study used a nonexperimental design to compare the outcomes of graduates…
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.