Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 151 - 160 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of age discrimination laws on the employment of older women. This profile focuses on the Federal Age Discrimination in Employment Act of 1967 (ADEA…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the implementation of the American with Disabilities Amendments Act on discrimination allegations and their merit among people with cancer.…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 the Job Search Assistance Demonstration in Washington, D.C., and Florida on Unemployment Insurance (UI) benefits receipt, earnings, and employment…Study Type: Descriptive Analysis
The study's objective was to examine the impact of Executive Order 11246, affirmative action (AA) on the Black share of employment. The study uses establishment-level EEO-1 form data…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 Prudence Kay Poppink (PKP) Act on employment outcomes. The study was a nonexperimental design using data that was reported in…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 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 court-ordered diversity training on the representation of white women, black men, and black women employed in managerial positions. The authors…
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.