Earnings and wages-Low-No impacts

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Displaying 41 - 50 of 81

Long-term follow-up and benefit-cost analysis of the Jobs Program (Vinokur et al. 1991)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Jobs Program on long-term earnings and monthly hours worked. The authors conducted a randomized controlled trial (RCT). Researchers…
University of the District of Columbia - Final annual evaluation report TAACCCT grant program, round 4 (Hendricks et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on education, earnings, and…
CogSMART compensatory cognitive training for traumatic brain injury: Effects over 1 year (Twamley et al. 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of Cognitive Symptom Management and Rehabilitation Therapy (CogSMART) and enhanced supported employment (ESE) on employment, earnings, and health…
North Dakota State College of Science TAACCCT Project: North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) final evaluation report (WorkED Consulting, 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) on education, earnings, and employment outcomes. The authors used a…
North Dakota State College of Science TAACCCT Project: North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) final evaluation report (WorkED Consulting, 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) on earnings and employment outcomes. The authors used an interrupted…
Trade Adjustment Assistance Community College and Career Training II Grant Program (TAACCCT II): Summative Evaluation of the University of District of Columbia, Community College’s Transportation Academy (Yoder & Ryland 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the TAACCCT funded Transportation Academy program on education, earnings, and employment outcomes. The study used a nonexperimental design to…
Oklahoma City Community College TAACCCT: Commercial Food Equipment Service Technician (CFEST) program third-party evaluation final report (WorkED Consulting 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Commercial Food Equipment Service Technician (CFEST) program on education, earnings, and employment outcomes. The study used a nonexperimental…
East Los Angeles College: Technology & Logistics program TAACCCT final evaluation report (Wiima 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the enhanced East Los Angeles College’s (ELAC) Technology and Logistics program on student’s education, earnings, and employment outcomes. The…
Evaluation of the Illinois Network for Advanced Manufacturing: Final Report (Westat 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Illinois Network for Advanced Manufacturing (INAM) program on education, earnings, and employment outcomes. The study used a nonexperimental…
Developing pathways for careers in health: The Los Angeles Healthcare Competencies to Careers Consortium (Tan & Moore 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Los Angeles Healthcare Competencies to Careers Consortium (LAH3C) on education, earnings, and employment outcomes. The authors used a…

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.