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 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…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 difference-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employer discrimination lawsuit resolutions on the representation of white women, black men, and black women employed in managerial positions. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of tax increment financing (TIF) on employment in St. Louis, Missouri. The authors investigated similar research questions for Kansas City, Missouri…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Training Adjustment Assistance (TAA) program on employment and credential completion. The study used administrative records to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult Education and Literacy (AEL) program on participants’ employment and credential completion. The study used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Food Stamp Employment and Training Program (FSET) on employment and credential completion rates. The authors used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state-level sex and race discrimination laws passed before 1960 on employment and earnings outcomes for women and African Americans. The authors…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Washington State’s Initiative 200 (I-200), which repealed affirmative action statewide, on racial and ethnic minority employment and wages. Using the…
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.