Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 471 - 480 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of “stereotype threat priming” on students’ grades in postsecondary science, technology, engineering, and mathematics (STEM) courses and on self-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of providing information to parents about the importance of STEM on their children’s decisions to enroll in advanced high school math and science…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 examine the impact of Supplemental Instruction in college science, technology, engineering, and mathematics (STEM) courses on the course grades earned at San Francisco…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three teaching innovations—a contract, confidence-building exercises, and encouragement to apply for science internships—on performance in an…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, public assistance receipt, and education for low-income families with young…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Riverside Community College’s New Visions Self-Sufficiency and Lifelong Learning Project on welfare recipients’ employment, earnings, welfare…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Colorado Youth Work Incentive Network of Supports (WINS) project, sponsored by the Social Security Administration (SSA), one of six…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Florida Broadened Horizons, Brighter Futures (BHBF) program, one of six project sites of the larger Youth Transition Demonstration (YTD…
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.