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 - 30 of 36
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of virtual mine rescue training on mine rescue process efficacy. Using survey data, the authors used an interrupted time series design to compare mine…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of inspections and consultations by Washington State’s Department of Occupational Safety and Health (DOSH) on workers’ compensation claim rates and…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 determine if workplace fatalities were lower in states with federal or state enforcement of Occupational Safety & Health Administration (OSHA) regulations. The study…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 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 determine the impact of two types of notifications sent by the Occupational Safety & Health Administration (OSHA)—those with and without subsequent inspections—on…Study Type: Causal Impact Analysis
The study examined the effects of Washington’s Occupational Safety & Health Administration (OSHA) State Plan (named WISHA) inspections and consultations on workers’ compensation claim rates for…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.
Domain
Effectiveness icon
