Employment-Mod/high-Favorable impacts

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Displaying 141 - 150 of 199

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…
Residential treatment for homeless female veterans with psychiatric and substance use disorders: Effect on 1-year clinical outcomes (Harpaz-Rotem et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of community residential treatment on female veterans’ employment and health outcomes. The study team used statistical tests to examine the differences between two…
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…
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 on-the-job training, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education, training, and…
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 a paid work experience program, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education,…
Encouraging evidence on a sector-focused advancement strategy (Hendra et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Per Scholas site on employment, earnings, and education and training from 2011 to 2015. The…
Encouraging evidence on a sector-focused advancement strategy (Hendra et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the St. Nicks Alliance site on employment, earnings, education, and training from 2011 to 2015. The…
A controlled trial of supported employment for people with severe mental illness and justice involvement (Bond et al. 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Individual Placement and Support (IPS) intervention on employment and recidivism outcomes relative to a job club program called Work Choice.…
Effects of the unemployment insurance work test on long-term employment outcomes. (Lachowska et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of more-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt outcomes over a…
Evaluation of the Charleston Claimant Placement and Work Test Demonstration (Corson et al. 1985)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the impact of a more-stringent work test and enhanced employment services on Unemployment Insurance (UI) claimants’ benefits receipt and reemployment outcomes…

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.