Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 511
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Ohio’s Accelerated Study in Associate Programs (ASAP) on credit accumulation and degree attainment. The study was a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Wisconsin Scholar Grant (WSG) on long-term education outcomes for four-year university students. The authors investigated similar research…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Wisconsin Scholar Grant (WSG) on long-term education outcomes for two-year college students. The authors investigated similar research questions…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Susan Thompson Buffet Foundation (STBF) financial aid awards on education outcomes for four-year college students. The authors investigated…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Susan Thompson Buffet Foundation (STBF) financial aid awards on education outcomes for two-year college students. The authors investigated…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2013 six-week intervention. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New Mexico Legislative Lottery Scholarship (NMLLS) on education outcomes. This study was a difference-in-differences design exploring the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of an occupational safety and health (OSH) training for cannabis cultivation workers on their occupational health and safety knowledge. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the P-TECH 9-14 model on credit accumulation. The study was a randomized controlled trial in New York City schools. Using NYC Department of…
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.