Low Causal Evidence

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Displaying 371 - 380 of 482

Reflections on Accelerating CTE: Final evaluation report (Smith 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Accelerating Career & Technical Education (CTE) program on community college students’ credential completion. The author compared outcomes…
First Year Initiative's impact on developmental students' re-enrollment and course success at a community college (Rogers 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the First Year Initiative (FYI) program on community college students’ re-enrollment rates and successful completion of developmental math and…
Community value: The effect of an urban community college's learning community program on developmental English student retention, academic success, and graduation (Risolo 2015)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of participation in a learning community during the first academic semester on community college students’ retention and graduation rates. The study…
Does AVID Higher Education (AVID HE) increase student term-to-term progression, persistence toward credited classes and social capital for first-generation college students placing into developmental education: A mixed methods study (Plinski 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to assess the impact of the Advancement via Individual Determination Higher Education (AVID HE), a developmental education program, on first generation college students’…
Accelerating developmental math students in California community colleges: A comparative assessment of two acceleration models (Martinez 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to compare the impact of two accelerated pathway models (course redesign and compression) on completion rates for community college students. This summary focuses on the…
Accelerating developmental math students in California community colleges: A comparative assessment of two acceleration models (Martinez 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of two accelerated pathway models (course redesign and compression) on completion rates for community college students. This summary focuses on the…
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…
Enhanced vocational rehabilitation for veterans with mild traumatic brain injury and mental illness: Pilot study (O'Connor et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an embedded cognitive rehabilitation intervention on employment and earnings. The study was a randomized controlled trial with the authors using…
Improving employment outcomes of individuals with disabilities through short-term postsecondary training (Flannery et al. 2008)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of an occupational skills training program on employment and earnings outcomes. The study used statistical methods to compare the outcomes of people…
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…

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.