Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 27 of 27
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of training funded by Trade Adjustment Assistance (TAA) on dislocated workers’ employment. The author used a nonexperimental approach to compare the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of community and technical college campus Adult Basic Education (ABE) programs on the employment rate, earnings, and benefit receipt of adults in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact the federal practice of giving preference to veterans during the federal employment hiring process had on federal employment. The author used a…Study Type: Causal Impact Analysis
The study examined the impact of the strength of state disability discrimination laws on hiring rates of older men. The study used statistical models and data from the Health and Retirement Study…The effects of the Americans with Disabilities Act: A longitudinal model analysis (Moon et al. 2003)
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Americans with Disabilities Act (ADA), both the original 1992 legislation and its 1994 extension, on working hours and employment among men…Study Type: Causal Impact Analysis
This study’s objective was to assess the impact of state-level fair employment legislation, enacted in the 1940s through the 1960s, on labor market outcomes including income, unemployment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an Illinois Public Schools retiree health insurance program on the retirement rates of eligible staff ages 55 to 75. The study used a…
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.
Domain
Effectiveness icon
