Employment-Mod/high-Favorable impacts

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Displaying 201 - 210 of 226

The effects of goal orientation on job search and reemployment: A field experiment among unemployed job seekers (van Hooft & Noordzij 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the effects of goal orientation—the way individuals frame their objectives in a given situation—on job search and reemployment among unemployed job seekers. The…
Expressive writing and coping with job loss (Spera et al. 1994)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of expressive writing activities on the reemployment of people who had recently lost their jobs. The authors randomly assigned 41 people who had…
Enhanced Early Head Start with employment services: 42-month impacts from the Kansas and Missouri sites of the Enhanced Services for the Hard-to-Employ Demonstration and Research Project (Hsueh & Farrell 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, and public assistance receipt for low-income families with young children.…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Texas ERA—Corpus Christi] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after four…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [Chicago ERA] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to determine the effectiveness of a Chicago program to increase the earnings of Temporary Assistance for Needy Families (TANF) recipients. The Chicago site was one of 16…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [PROGRESS—Eugene]
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of post-employment job supports on former welfare recipients’ employment and benefits receipt outcomes after three years. The Eugene site was one of…
The Employment Retention and Advancement project: How effective are different approaches aiming to increase employment retention and advancement? Final impacts for twelve models [TAAG—Medford] (Hendra et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of post-employment job supports on former and current public assistance recipients’ employment and benefits receipt outcomes after three years. The…
Work after prison: One-year findings from the Transitional Jobs Reentry Demonstration (Redcross 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 Transitional Jobs Reentry Demonstration (TJRD) on ex-offenders’ employment and wages. The study used a randomized controlled trial to assign…
The Employment Retention and Advancement project: Results from the Personal Roads to Individual Development and Employment (PRIDE) program in New York City (Bloom et al. 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) welfare-to-work program in New York City on the employment, earnings, and…
The Employment Retention and Advancement project: Results from the Post-Assistance Self-Sufficiency (PASS) program in Riverside, California (Navarro et al. 2007)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Riverside Post-Assistance Self-Sufficiency (PASS) program on employment, earnings, and public benefits receipt after two years. The Riverside…

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.