The study’s objective was to examine the impact of participation in one of three first-year academies (Allied Health, Business/Technology, or Liberal Arts) on course failure rates and course…
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CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 401 - 410 of 482
Study Type: Causal Impact Analysis
Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of the YO! Baltimore initiative, which included a diverse set of programs offering comprehensive educational, employment preparation, support, and…Study Type: Causal Impact Analysis
The study’s objective was to determine whether universities participating in Transformative Graduate Education Programs (TGPs) conferred a greater number of science, technology, engineering, and…Study Type: Causal Impact Analysis
The study’s objective was to assess the long-term impact of Camp Reach, a summer engineering enrichment program for middle school girls, on enrollment in STEM courses in high school and college.…Study Type: Causal Impact Analysis
This study’s objective was to examine differences in the intended choice of college science, technology, engineering, and mathematics (STEM) majors between females and males enrolled in high school…Study Type: Causal Impact Analysis
The study examined the effect of providing information about effort requirements to succeed in a fictitious male-dominated eco-psychology master’s program on female students’ attitudes toward their…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in technology-based three-dimensional hands-on activities on middle school girls’ interest in becoming an engineer or technologist.…
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.
Little evidence that the effects are caused by the examined intervention.