Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 341 - 350 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Structured Training and Employment Transitional Services (STETS) program on employment rates, earnings, and Social Security Disability Income (…Study Type: Descriptive Analysis
The study’s objective was to examine the effects of the Washington Alternative Work Search Experiment on the employment, earnings, and unemployment insurance benefit receipt among those who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing low-income families with private market housing vouchers on employment, earnings, receipt of public assistance, and receipt of education…Study Type: Causal Impact Analysis
The study’s objective was to explore the relationship between employee training investment, promotion strategies, and employee turnover in credit unions in the United States. Using data from a 13-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBSTART program on employment, earnings, and education and training outcomes over a four-year follow-up period. About 2,300 youth were…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
This study’s objective was to assess the impact of the Civil Rights Act of 1964 (the Civil Rights Act) and subsequent affirmative action executive orders on the employment share of African American…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Executive Order 11246, a 1965 directive that subjected federal contractors to stringent antidiscrimination standards, by comparing the proportion of…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The study’s objective was to assess the effect of Washington State’s Initiative 200 (I-200), which repealed affirmative action statewide, on racial and ethnic minority employment and wages.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…Study Type: Implementation Analysis
This report presented an implementation and impact analysis of the Utah Benefits Offset Pilot Demonstration Project (BOPD). The study examined pilot procedures and potential challenges for national…
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.