Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 241 - 250 of 255
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three accelerated developmental education programs on gatekeeper (entry-level) course completion and college-level credit accumulation. This…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three accelerated developmental education programs on gatekeeper (entry-level) course completion and college-level credit accumulation. This…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of an accelerated emporium developmental math course on community college students’ course completion, persistence, retention, and academic success…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of receiving year-round Pell (YRP) funding on community college students’ enrollment, credit accumulation, degree completion, employment, and earnings…Study Type: Causal Impact Analysis
The study examined the impact of the strength of state disability discrimination laws on hiring rates of older men. The study used statistical models and data from the Health and Retirement Study…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of Job Corps on the employment and earnings of participants who obtained a general education development (GED) certificate or vocational training…Study Type: Causal Impact Analysis
The study examined the impact of the Serious and Violent Offender Reentry Initiative (SVORI) on employment, education, and recidivism among juvenile incarcerated males. The study used propensity…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 examine the impact of Wisconsin’s Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability Insurance (SSDI…Study Type: Causal Impact Analysis
The objective of the study was to examine the impact of the Philippines conditional cash transfer program, Pantawid Pamilyang Pilipino Program (4Ps), on child labor and school attendance. The…
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.