Education and skills gains-Low-Favorable impacts

Recently Added

CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

Search
for studies on
this topic using
keywords
and filters

Displaying 81 - 90 of 107

Consortium for Healthcare Education Online: Final evaluation report (Edwards et al 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…
Assessing the effectiveness of Quantway®: A multilevel model with propensity score matching (Yamada 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 Quantway® 1 math program on community college students’ developmental math completion rates. The authors used a nonexperimental design to…
Assessing the First Two Years’ Effectiveness of Statway® (Yamada & Bryk 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to evaluate the impact of Statway® on community college students’ earning of math course credits. The study used a nonexperimental design to compare the outcomes of…
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…
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…

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.