Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 131 - 140 of 170
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a retail store management intervention on voluntary employee turnover. The author used a nonexperimental design to compare the rate of voluntary…Study Type: Causal Impact Analysis
The study aimed to examine the impact of a strengths-based case management intervention on veterans’ employment and earnings. Even though the treatment and control groups were randomly assigned, the…Study Type: Causal Impact Analysis
The study examined the impact of supported employment on the employment outcomes for veterans with spinal cord injuries. The authors used statistical comparisons in a non-experimental analysis to…Study Type: Causal Impact Analysis
The study ’s objective was to examine the impact of a transitional work experience (TWE) program, within the Veterans Health Administration’s (VHA’s) Compensated Work Therapy (CWT) program, on…Study Type: Causal Impact Analysis
The study examined the effect of the Veterans Homelessness Prevention Demonstration (VHPD) program on the employment, earnings, public benefit receipt, and education and training outcomes of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an occupational skills training program on employment and earnings outcomes. The study used statistical methods to compare the outcomes of people…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between employees’ intent to leave (that is, employees’ stated intentions to leave the firm in the next year) and their participation in on-the-…Study Type: Causal Impact Analysis
The study examined the relationship between Certified Peer Specialist training and employment for training participants. The authors compared employment rates for participants before and after the…Study Type: Causal Impact Analysis
The study examined the impact of a theoretical increase in Supplemental Security Income (SSI) benefits on the preretirement employment outcomes for likely SSI participants ages 60 to 64. Using data…
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.
