High Causal Evidence

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Displaying 351 - 360 of 417

Reengaging high school dropouts: Early results of the National Guard Youth ChalleNGe program evaluation (Bloom et al. 2009)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
This report presents results from a 9-month follow-up study of the National Guard Youth ChalleNGe program, a disciplinary and educational intervention for unemployed youth ages 16 to 18 who are not…
The Quantum Opportunity Program demonstration: Final impacts (Schirm et al. 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which included case management and mentoring, education, developmental activities, community service,…
National Job Corps Study: The impacts of Job Corps on participants’ employment and related outcomes (Schochet et al. 2001)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The National Job Corps Study included several reports, including this final impact report. The report’s objective was to examine the impact of the Job Corps program on participants’ long-term…
Job Training Partnership Act: Long-term earnings and employment outcomes (GAO/HEHS-96-40) (United States General Accounting Office 1996)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact of Job Training Partnership Act (JTPA) programs on the long-term earnings and employment of male and female out-of-school youth and adults. This…
The (surprising) efficacy of academic and behavioral intervention with disadvantaged youth: Results from a randomized experiment in Chicago (Cook et al. 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Becoming a Man (BAM) program on youths’ academic outcomes, including grade point averages (GPAs), course failures, and achievement test scores…
Preventing youth violence and dropout: A randomized field experiment (No. w19014) (Heller et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Becoming a Man program on arrest and educational outcomes. The study was a randomized controlled trial. Eligible male youth from 18 public…
National Job Corps study and longer-term follow-up study: Impact and benefit-cost findings using survey and summary earnings records data (Schochet et al. 2006)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The National Job Corps Study included several reports, including this longer-term impact report. The report’s objective was to examine the impact of the Job Corps program on participants’ long-term…
National Job Corps Study: Findings using administrative earnings records data (Schochet et al. 2003)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to estimate the impact on long-term earnings and employment of the Job Corps program, which offers intensive academic classroom instruction and vocational skills training…
STEMing the tide: Using in-group experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM) (Stout et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of interacting with a male or female upperclass student majoring in math and psychology (hereafter referred to as a male or female peer expert) on…
The Accelerated Benefits Demonstration and Evaluation Project: Impacts on health and employment at twelve months (Michalopoulos et al. 2011)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
This is the 12-month survey impact report of the Accelerated Benefits Demonstration (ABD), an effort to provide immediate health insurance and employment and benefits counseling to new, uninsured…

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.