Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in San Antonio, TX. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by four large Public Housing Authorities (PHAs). The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of two approaches to subsidized employment for Temporary Assistance for Needy Families (TANF) recipients: Paid Work Experience (PWE) in the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Subsidized and Transitional Employment Demonstration (MSTED) on participants’ employment, earnings, receipt of public benefits, and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of CareerAdvance on educational attainment and persistence, employment, earnings and economic well-being, and psychological well-being. …Study Type: Causal Impact Analysis
The study's objective was to examine the impact of 2005 reform to the Employees' Retirement System of Rhode Island (ERSRI) on employee separation. The reform enacted reductions to retirement…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of same-sex marriage legalization on employment outcomes of individuals in same-sex couples. The study uses a non-experimental difference-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of age discrimination laws on the employment of older women. This profile focuses on the comparison for state age discrimination laws. The author…
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.