Moderate Causal Evidence

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Displaying 171 - 180 of 186

Longitudinal patterns of compliance with Occupational Safety and Health Administration health and safety regulations in the manufacturing sector (Gray & Jones 1991)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the effect of past Occupational Safety & Health Administration (OSHA) inspections on the number of violations found in subsequent inspections. The study used…
An assessment of OSHA’s recent effects on injury rates (McCaffrey 1983)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the effect of OSHA inspections on injury rates in manufacturing and construction firms from 1976 to 1978. Although OSHA no longer operates as it did during this…
The Impact of OSHA Inspections on Manufacturing Injury Rates (Smith 1979)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the effect of OSHA inspections on injury rates in manufacturing firms in 1973 and 1974. Although OSHA no longer operates as it did during this period, this study…
Choice architecture and retirement savings plans (Benartzi et al. 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The report’s objective was to examine the impact of choice architecture—that is, aspects of a savings plan’s structure and enrollment process—on 401(k) savings decisions. The authors discussed five…
Given time it worked: Positive outcomes from a SSDI benefit offset pilot after the initial evaluation period (Delin et al. 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of Wisconsin’s Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability Insurance (SSDI…
Effectiveness of supported employment for individuals with schizophrenia: Results of a multi-site, randomized trial (Cook et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to estimate the 24-month employment effects of supported employment interventions on people with severe mental illness, focusing on those with schizophrenia. Supported…
Initial impacts of the Ticket to Work program on Social Security disability beneficiary service enrollment, earnings, and benefits (Wittenburg et. al 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to determine the effectiveness of Ticket to Work (TTW), a program designed to enhance the employment services available to Supplemental Security Income (SSI) and Social…
Results of a multisite randomized trial of supported employment interventions for individuals with severe mental illness (Cook et al. 2005)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to estimate the 24-month employment effects of supported employment on people with severe mental illness. Supported employment interventions use a combination of employment…
Can benefits and work incentives counseling be a path to future economic self-sufficiency for SSI/SSDI beneficiaries? (Nazarov et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
This study’s objective was to determine whether benefits and work incentives counseling provided by New York State’s vocational rehabilitation (VR) agency increased earnings and increased the number…
Evaluating the Vocational Rehabilitation Program using longitudinal data: Evidence for a quasi-experimental research design (Dean et al. 1999)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to determine the impact of participation in Vocational Rehabilitation (VR), a state and federal program, on earnings for people with disabilities. VR provides services and…

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.