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 112
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effect of a California paid family leave policy (CA-PFL) on employment of middle-aged female caregivers. The study used a difference-in-differences…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of state Paid Family Leave laws on employee turnover. The study conducted a difference-in-difference analysis. The study used firm-level data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by the Department for Blind and Vision Impaired (DBVI) on participants’ employment and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Texas Employment Retention and Advancement (ERA) program on employment entry and retention in two sites: Corpus Christi and Fort Worth. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Title I program for adults (including dislocated workers) on participants’ employment and credential completion…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by Department of Rehabilitative Services (DRS) on participants’ employment and credential…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Carl Perkins Postsecondary Career and Technical Education (CTE) program on employment and credential completion. The authors used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Personal Roads to Individual Development and Employment (PRIDE) program on employment, earnings, and public assistance receipt. The study was a…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of child care subsidies through the Child Care and Development Fund (CCDF) program on the employment of low-income single mothers. The author used…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of two welfare-to-work programs—the Labor Force Attachment (LFA) program and the Human Capital Development (HCD) program—on the employment and…
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.
