Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of private career schools’ programs on the employment rate, earnings, and benefit receipt of adults who completed high school in Washington State. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Community and Technical College (CTC) Worker Retraining (WR) program on employment, earnings, and benefit receipt of long-term unemployed and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Community and Technical College (CTC) Job Preparatory Training on employment rates, average quarterly earnings, and benefit receipt of high school…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program on the employment rate, earnings, and benefit receipt of dislocated workers in…Study Type: Causal Impact Analysis
The study's objective was to examine the net impact of 12 workforce development programs in Washington state on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Seattle Minimum Wage Ordinance on employment, earnings, and wages.Using state administrative employment data, the authors conducted a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of individual placement and support (IPS)-supported employment on employment and earnings outcomes for Veterans with posttraumatic stress disorder (…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…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…
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.