Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 101 - 110 of 482
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of state ERA ratification on labor market outcomes for women. The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of teleworking on job promotions. The other chapters of the study are linked here: Chapter 1: Does Allowing Employees to Work from Home Reduce…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of teleworking on job turnover rates. The other chapters of the study are linked here: Chapter 2: Moving Up the Ladder: Impact of Working from…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the extended length of time of the Optional Practical Training (OPT) program’s temporary work permit for foreign STEM graduates and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of New Jersey’s Family Leave Insurance Program (NJ-FLI) on labor force participation and other labor market outcomes for women with children. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California’s Paid Family Leave Program (CA-PFL) on labor force participation and other labor market outcomes for women with children. The…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a self-care program for pediatric oncology nurses on burnout, secondary traumatic stress, and compassion satisfaction. The study used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s 2004 Paid Family Leave Act (PFLA) on take-up of paid leave, along with employment, wage earnings, and self-employment income for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Foundations for Safety Leadership (FSL) training on supervisors’ leadership skills and jobsite safety practices of workers in a set of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the motion picture incentive (MPI) program on employment in the motion picture industry. The authors investigated similar research…
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.
Little evidence that the effects are caused by the examined intervention.