Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 681 - 690 of 794
Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of the Civil Rights Act of 1964 on the occupational status of African American men in the United States. Using labor force statistics derived from the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the 1972 Equal Employment Opportunity Act (EEOA) on employment, earnings, and occupational outcomes of African American men. The study used a non-…Some new historical evidence on the impact of affirmative action: Detroit, 1972 (Hyclak et al. 1992)
Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of federal affirmative action reporting requirements on Detroit firms’ hiring of minorities into managerial positions in 1972. The authors compared…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effectiveness of the ADVANCE institutional transformation program (ADVANCE-IT) sponsored by the National Science Foundation (NSF) in advancing women’s…Study Type: Causal Impact Analysis
This study’s objective was to examine the effect of the ADVANCE program sponsored by the National Science Foundation (NSF) on women’s representation among tenured and tenure-track faculty. The study…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of two competitive grants that funded activities to support women in nontraditional occupations on women’s probability of employment in those…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effectiveness of the ADVANCE institutional transformation program (ADVANCE-IT), sponsored by the National Science Foundation (NSF), on the recruitment of…Study Type: Causal Impact Analysis
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in North Dakota, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study had two objectives: (1) to examine the effect of OSHA citations on injuries (method 1) and (2) to examine the effect of changes in OSHA inspections on changes in days of work lost because…
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.