Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 271 - 280 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of workshops for job seekers on employment and training outcomes. The study used a randomized controlled trial (RCT) design, in which eligible…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Future Steps rural welfare-to-work program on employment, earnings, and public benefit receipt. The authors randomly assigned Temporary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Welfare-to-Work housing voucher on employment, earnings, and public benefit receipt. The authors allocated the available vouchers by lottery to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Texas Employment Retention and Advancement (ERA) program on employment entry and retention in two sites: Corpus Christi and Fort Worth. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Center for Employment Opportunities (CEO) transitional job program on earnings and employment outcomes. The authors conducted a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing summer employment support on the employment of youth with emotional and behavioral difficulties. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Rapid Employment Model (REM) program on participants’ employment, earnings, and Unemployment Insurance (UI) benefit claims. (See the CLEAR…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Title I program for adults (including dislocated workers) on participants’ employment and credential completion…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) dislocated worker program’s training services on the employment and earnings of dislocated workers. The authors…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…
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.