Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 18
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Affirmative Action on employment outcomes for women and minorities. The author used a nonexperimental design to study employment…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of surprise plant inspections conducted by the federal Occupational Safety and Health Administration (OSHA) on plants’ fatality rates and average…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wisconsin Regional Training Partnership’s (WRTP) sectoral employment program on earnings and employment. The authors investigated similar…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of sector-focused career centers in New York City on employment and earnings. The authors estimated the effect of sector-focused career centers by…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of compressed delivery of a World Class Shipbuilding apprenticeship program on program retention. The Apprentice School of Newport News Shipbuilding…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of OSHA inspections on injuries in single-facility manufacturing firms in Pennsylvania between 1998 and 2005. The study used a regression model to…Study Type: Causal Impact Analysis
The study’s objective was to determine whether OSHA inspections that resulted in penalties or citations prevented specific types of workplace injuries. The study used a regression model to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of OSHA inspections that resulted in penalties or citations on the types of injuries workers suffered. The study used a regression model to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of federal OSHA inspections in manufacturing establishments on workplace injuries during three separate time periods: 1979–1985, 1987–1991, and 1992–…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of four types of mandatory state workplace safety interventions on occupational injury rates in manufacturing industries. The study used a regression…
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.