Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 29
Study Type: Causal Impact Analysis
The study’s objective was to examine whether additional messaging about a Flexible Spending Account (FSA) increased employees’ usage of an FSA. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work requirements for Medicaid recipients on public benefits receipt, employer benefits receipt, and employment. The study used a difference-in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of iThrive, a workplace wellness program developed at the University of Illinois at Urbana-Champaign, on employment, productivity,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Affordable Care Act of 2010 (ACA) on employee health insurance take-up rates. The study was a…Study Type: Descriptive Analysis
This study summarized the role of various factors, both within and outside a university, in shaping use of the university’s parental leave policy. The authors conducted semistructured interviews in…Study Type: Descriptive Analysis
This case study described implementation of a STEM mentoring program for female faculty at a polytechnic institution, including sucesses, challenges, and lessons learned. After each of three phases…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Florida, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study’s objective was to determine whether changes in the design of the Thrift Savings Plan (TSP) led to changes in federal employees’ participation in and contributions to the Federal Employee…Study Type: Causal Impact Analysis
Experiments using U.S. households The study’s objective was to examine whether increases in the number of funds offered in a retirement plan caused investors to allocate their contributions more…Study Type: Causal Impact Analysis
The study’s objective was to determine how general or personalized information on projected retirement savings account balances and annual retirement income affects employees’ retirement savings…
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.