Education and skills gains-Low-Favorable impacts

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Displaying 111 - 120 of 147

The effect of veterans benefits on education and earnings (Angrist 1993)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the effects of veteran benefits on the post-service education and earnings of soldiers who served in the Vietnam era and in the first years of the All-Volunteer…
The differences in first-year retention rates for adult and traditional community college students enrolled and not enrolled in learning communities (Budd 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to determine the impact of participation in the learning communities on retention rates for community college students. The author used a nonexperimental design to compare…
Developmental students' persistence towards graduation in paired coursework programs among African American and Latino males in community colleges (Davis 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of accelerated paired courses on male African American and Latino students’ academic persistence. The study used a nonexperimental design to compare…
Maintaining success rates: Does Statway® sustain its impact as it scales to new classrooms and institutions? (Huang & Yamada 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Statway® math program on community college students’ earning of math credits. The authors used a nonexperimental design to compare the outcomes…
The effect of participation in a Title V program on Latinx student success at a community college (Lacagnino 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to determine the impact of participation in the Project Accel program on education outcomes for community college students. The study used a nonexperimental design to…
Learning better together: The impact of learning communities on the persistence of low-income students (Engstrom & Tinto 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of learning communities on community college students’ persistence from freshman to sophomore year, an outcome in the progress toward degree…
Success of joint programs between junior and senior colleges (Krudysz et al. 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Joint/Dual (JD) program on retention and graduation rates for community college and undergraduate engineering students who were under-…
The Engineering Admissions Partnership Program: A navigation strategy for community college students seeking a pathway into engineering (Laugerman et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Engineering Admissions Partnership Program (E-APP) on retention rates of community college students who transferred to Iowa State University (…
Improving student outcomes via comprehensive supports: Three-year outcomes from CUNY’s Accelerated Study in Associate Programs (ASAP) (Kolenovic et al. 2013)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Accelerated Study in Associate Programs (ASAP) conducted by the City University of New York (CUNY) on retention, credit accrual, transfer, and…
The impact of curricular learning communities on furthering the engagement and persistence of academically underprepared students at community colleges (McIntosh 2012)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of basic skills curricular learning communities on the persistence of underprepared community college students at 13 community colleges in eight…

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.