Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 131 - 140 of 482
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a work-family intervention targeting employee control over work schedule and family-supportive supervisor behaviors on employees’ sleep quantity…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in the VA OpenNotes for Mental Health Clinicians course on clinicians’ attitudes towards their work. The study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Transitional Community Jobs (TCJ) on employment, earnings, and public benefit receipt outcomes. The study used a nonexperimental comparison group…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Georgia Fatherhood Program on employment and earnings. The study used a nonexperimental comparison group design. Data were collected through…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of different employment and training activities of Ohio’s Job Opportunities and Basic Skills Training Program (JOBS) on employment and earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effect of a California paid family leave policy (CA-PFL) on employment of middle-aged female caregivers. The study used a difference-in-differences…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the intervention on the health and safety of oncology nurses through their use of personal protective equipment (PPE) during hazardous drug…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state Paid Family Leave laws on employee turnover. The study conducted a difference-in-difference analysis. The study used firm-level data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Direct Support Program (DSP) on child labor and schooling outcomes in Ethiopia. The study used a matched-comparison group design. Using data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Public Work Program (PWP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group design. Using data…
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.
Little evidence that the effects are caused by the examined intervention.