Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 41 - 50 of 375
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in an Individual Development Accounts (IDA) program on savings for individuals living in poverty. The study used a matched…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 the Assets for Independence (AFI) program on financial behaviors. The study used a randomized controlled trial to assign participants to the…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
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers helped to design training programs and provide them in a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Seattle Minimum Wage Ordinance on employment, earnings, and wages.Using state administrative employment data, the authors conducted a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Breaking Barriers on employment, earnings, and public benefit receipt outcomes.The study was a randomized controlled trial that randomly assigned…Study Type: Implementation Analysis
The study’s objective was to examine the implementation of the Individual Placement and Support (IPS) model within the Breaking Barriers program. This intervention aimed to provide individualized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Temporary Assistance for Needy Families (TANF) worker supplement programs on low-income women’s unemployment. The authors used state-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a savings and financial counseling program on financial behaviors. This summary focuses on the comparison between participants in the Super Savers…
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.