Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 38
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Penny Per Pound (PPP) on daily hours worked. The author used a statistical model to compare the outcomes of workers at a Florida farm who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Boston Summer Youth Employment Program (SYEP) on future work plans, academic aspirations, and job readiness skills. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of engaging in transitional work on outcomes measuring competitive employment and income for U.S. military veterans with post-traumatic stress…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the extended length of time of the Optional Practical Training (OPT) program’s temporary work permit for foreign STEM graduates and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of changes in standard of causation for employment discrimination claims under the Missouri Human Rights Act (MHRA) on employment outcomes. …Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered establishment of new diversity-focused staff or offices on the representation of white women, black men, and black women employed in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered requirements to post Equal Employment Opportunity (EEO) notices within workplace establishments on the representation of white women…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered requirements to inform protected classes of employer laws and legal settlements on the representation of white women, black men, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-ordered establishment of employee grievance procedures on the representation of white women, black men, and black women employed in…
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.
Domain
Effectiveness icon
