Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 173
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Supported Employment (SE), through Vocational Rehabilitation (VR), on competitive employment. The study used a regression matched comparison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of supported education and employment services (SEE) on employment. The study is an interrupted time series analyses: participants were…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Cognitive Behavioral Therapy for Work Success (CBTw) on employment status, hours worked per week, and hourly earnings. The study uses…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reinstated SNAP work requirements on employment and SNAP participation for able-bodied adults without dependents (ABAWDs). The study…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…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 hiring experienced drivers and paying them higher wages, rather than hiring new drivers and paying lower wages, on continued employment at the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of state ERA ratification on labor market outcomes for women. The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of teleworking on job turnover rates. The other chapters of the study are linked here: Chapter 2: Moving Up the Ladder: Impact of Working from…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New Jersey’s Family Leave Insurance Program (NJ-FLI) on labor force participation and other labor market outcomes for women with children. 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.
