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 739
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rehabilitation Hospital of Indiana Resource Facilitation (RHI RF) program on employment outcomes. The authors used a nonexperimental design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Vocational Rehabilitation (VR) services on employment outcomes. The study used a nonexperimental design to determine whether the number of VR…Study Type: Causal Impact Analysis
The study examined the impact of a time and place management (TPM) initiative at a medical provider on retirement expectations among workers ages 50 and older. The study was a randomized control…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 additional funds through a loan—beyond what is typically received through Teach For America’s) Transitional Grants and Loans …Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of additional grant funds—beyond what is typically received through Teach For America’s (TFA) Transitional Grants and Loans program—on…Study Type: Causal Impact Analysis
The study examined the impact of uncapping mandatory retirement on retirement ages at postsecondary institutions The study used a statistical model to examine the age of retirement before and after…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of school-to-work (STW) programs on unemployment. The study used a nonexperimental design with data from the National Longitudinal Survey of Youth. The…Study Type: Causal Impact Analysis
The study’s objective was to determine whether the finding from a previous study that Internet job searches increased unemployment duration was upheld using more recent data. Specifically, the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact the federal practice of giving preference to veterans during the federal employment hiring process had on federal employment. The author used a…
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.