Employment-Mod/high-No impacts

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Displaying 111 - 120 of 157

To work for yourself, for others, or not at all? How disability benefits affect the employment decisions of older veterans (Coile et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to cover type 2 diabetes for Vietnam-era veterans on their employment, earnings, and public benefit…
Schooling and the Vietnam-era GI bill: Evidence from the draft lottery (Angrist & Chen 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the G.I. Bill on education, employment, earnings. The authors used a nonexperimental comparison group analysis to estimate the impact of the…
New Jersey Health Professions Pathways to Regional Excellence project TAACCCT evaluation: Final report: Implementation and impact (Van Noy et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the New Jersey Health Professions Pathways to Regional Excellence Project (NJ-PREP) on earnings and employment outcomes. The study used a…
Contra Costa Community College District Design it–Build it–Ship it (DBS) final evaluation report (Rayyes 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 Design it–Build it–Ship it (DBS) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare…
Making the Future: The Wisconsin strategy: Final evaluation report (Price 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 Wisconsin Making the Future program on education, earnings, and employment outcomes. The study used a nonexperimental design to compare the…
WV Bridging the gap TAACCCT round 3: Final evaluation report (Bellville et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Bridging the Gap (BTG) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare the…
The Green Jobs and Health Care impact evaluation: Findings from the impact study of four training programs for unemployed and disadvantaged workers (Martinson 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 Grand Rapids Community College (GRCC) Pathways to Prosperity program on education, earnings, and employment outcomes. The study was a…
Outcomes from a certification program for early career professionals in supply chain management (Maxwell et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Leveraging, Integrating, Networking, and Coordinating Supplies (LINCS) program on employment and earnings. Using a nonexperimental design, the…
Pima Community College Pathways to Healthcare Program: Implementation and early impact report (Report No. 2017-10) (Gardiner et al 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to assess the impact of the Pathways to Healthcare program on students’ education and employment outcomes. The study used a randomized controlled trial to compare outcomes…
Four-year degree and employment findings from a randomized controlled trial of a one-year performance-based scholarship program in Ohio (Mayer, Patel, & Gutierrez 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of a performance-based scholarship program on community college students’ credit accumulation, degree/certificate completion, employment, and earnings…

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.