Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 131 - 140 of 147
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’s objective was to examine the impact of New York City (NYC) STEM high schools on math and science test-taking behavior and scores. The study used regression analyses to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of values affirmation on female students’ performance in an introductory college physics course. Students in the course were randomly assigned to…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of a monthly cash transfer program on household food consumption, resources, and work, including child labor. The study used survey data from a…Study Type: Causal Impact Analysis
The objective of this study was to examine the impact of the conditional cash transfer program, Familias en Acción, on children’s work and school participation in Columbia. The study used a…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…Study Type: Causal Impact Analysis
The objective of the study was to examine the impact of Mexico’s conditional cash transfer program (PROGRESA/Oportunidades) on child labor and school attendance for children ages 8 to 17 across 3…Study Type: Causal Impact Analysis
The objective of the study was to assess the impact of Kenya’s Cash Transfer to the Orphaned and Vulnerable Children (CT-OVC) program on children’s participation in work and school. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Mexico’s conditional cash transfer program (PROGRESA/Oportunidades) on school enrollment and employment in paid activities for children ages 6 to…
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.
Domain
Effectiveness icon
