High Causal Evidence

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Displaying 271 - 280 of 417

Tuning in to local labor markets: Findings from the Sectoral Employment impact study (Maguire et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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 study was based on a randomized…
Effect of control order on steering a simulated underground coal shuttle car (Burgess-Limerick, Zupanc, & Wallis 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of first-order and second-order joystick controls on mining shuttle car steering accuracy over multiple trials. The study was a randomized controlled…
Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs [Comparison Between Full-WIA Services versus Core Services]. (Fortson et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…
Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs [Comparison between Core-and-Intensive Services versus Core Services]. (Fortson et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…
Providing Public Workforce Services to Job Seekers: 30-Month Impact Findings on the WIA Adult and Dislocated Worker Programs [Comparison Between Full-WIA Services versus Core-and-Intensive Services]. (Fortson et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…
Long-term effects of job-search assistance: Experimental evidence using administrative tax data (Manoli et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study examined the impact of the Nevada Reemployment and Eligibility Assessment (REA) program on long-term employment, earnings, and Unemployment Insurance (UI) benefit receipt. This study was a…
Impact of public support payments, intensive psychiatric community care, and program fidelity on employment outcomes for people with severe mental illness (Resnick et al. 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to evaluate the one-year impacts of a Department of Veterans Affairs (VA) model of assertive community treatment for veterans with serious mental illnesses known as…
Incorporating individualized placement and support principles into vocational rehabilitation for formerly incarcerated veterans (LePage et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study examined the effect of the Individual Placement and Support (IPS) program on employment and earnings outcomes for justice-involved veterans with a prior felony conviction and a mental…
Schizophrenic symptoms, work adjustment, and behavioral family therapy (Glynn et al. 1992)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
This study examined the impact of behavioral family therapy on male veterans’ employment. The study conducted a randomized controlled trial using data from self-reported responses to the Social…
Testing two subsidized employment approaches for recipients of Temporary Assistance for Needy Families: Implementation and early impacts of the Los Angeles County Transitional Subsidized Employment Program (Glosser et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of paid work experience, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, and public benefit…

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.