Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 111 - 120 of 592
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of organizational accountability and transparency policies on merit-based pay increases. The study used an interrupted time series…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Illinois Equal Pay Act of 2003 on the difference in earnings and employment outcomes for men and women. The authors used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the California Paid Family Leave Program (CA-PFL) on employment and wages. The study used a difference-in-differences analysis to…Study Type: Causal Impact Analysis
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of workforce partnership programs on employment and earnings outcomes. This profile focuses on the evaluation of the Partners for a Competitive…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Bridges to Pathways (Bridges) on earnings, employment, and education outcomes. The study is a randomized controlled trial that randomly assigned…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of case management approaches on employment, earnings, and public benefits receipt. This profile focuses on the comparison of participants in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a traditional case management approach on employment, earnings, and public benefits receipt. This profile focuses on the comparison of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of an integrated case management approach on employment, earnings, and public benefits receipt. This profile focuses on the comparison of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Greater Avenues for Independence (GAIN) program on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for…
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.