Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 417
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the USA Funds Life Skills Financial Literacy program on financial knowledge. The study was a randomized controlled trial. First year college…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of an online financial education module on financial knowledge. This profile focuses on the comparison between the intensive intervention group and the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of vignettes about financial planning on financial knowledge. The study was a randomized controlled trial and used data from the Understanding…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Boston Youth Credit Building Initiative (BYCBI) on financial knowledge and behaviors. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a video game, Farm Blitz, on financial knowledge and financial self-confidence. The study used a randomized controlled trial to assign…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefits receipt. This profile focuses on the comparison between the group…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefits receipt. This profile focuses on the comparison between the group…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Benefit Offset National Demonstration (BOND) on earnings and public benefits receipt. This profile focuses on the comparison between the group…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Virtual Interview Training for Transition-Age Youth (VIT-TAY) on employment outcomes. The study was a randomized controlled trial. Assessment…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…
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.
Strong evidence the effects are caused by the examined intervention.