Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 281 - 290 of 610
Study Type: Descriptive Analysis
The authors assessed the relationship between male Vietnam-era veterans’ scores on the Clinician-Administered Post-Traumatic Stress Disorder (PTSD) Scale (CAPS), a clinically administered scale of…Study Type: Descriptive Analysis
The study investigated the relationships among sector (federal or private); science, technology, engineering, and mathematics (STEM) occupation; gender or racial minority status; and earnings to…Study Type: Descriptive Analysis
The study's objective was to analyze gender differences in the award of National Institutes of Health (NIH) extramural grants in the 2008 fiscal year. This research was intended to inform efforts to…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: Causal Impact Analysis
The study’s objective was to examine the effect of earning community college degrees, diplomas, and certificates on students’ later earnings. Using administrative data from the Kentucky Community…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 estimate changes in wage discrimination against people with disabilities before and after the Americans with Disabilities Act of 1990 (ADA). The author used data…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…
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.