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 Vocational Rehabilitation (VR) services on employment outcomes for individuals who were blind or visually impaired (B/VI). The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of ASPIRE (Achieving Success by Promoting Readiness for Education and Employment) program on youth employment and educational activities. …Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Salary History Bans (SHBs) on employment and earnings outcomes by sex and age. The author conducted a difference-in-differences…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state employment nondiscrimination acts on employment and earnings of cohabitating gay men and lesbian women. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the California Paid Family Leave Program (CPFL) on employment. The study used a nonexperimental design to assess the impact of CPFL…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Affirmative Action on employment outcomes for women and minorities. The author used a nonexperimental design to study employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-mandated organizational accountability policies on the representation of white women, black men, and black women employed in managerial…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of court-mandated diversity training on the representation of white women, black men, and black women employed in managerial positions. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Affordable Care Act's (ACA) Medicaid expansion on the Medicaid enrollment and retirement decisions of low-educated adults aged 55-64.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the 1983 Social Security reforms on employment status, hours worked, and receipt of disability benefits. The author used a difference…
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.