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 a counseling intervention – Making Employment Needs (MEN) Count – on employment. The study compared employment for adults who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of federal and state Medicaid expansions on hours worked per week, annual earned income, and participation in other public safety net programs…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Michigan Opportunity and Skills Training (MOST)/Work First on public benefit receipt, employment, and earnings. The study was a randomized…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Transitional Community Jobs (TCJ) on employment, earnings, and public benefit receipt outcomes. The study used a nonexperimental comparison group…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Linking Innovation, Knowledge, and Employment (@LIKE) program on employment and education outcomes. The study used a nonexperimental design…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of chemical dependency treatment and additional vocational services on employment and earnings outcomes. This profile focuses on the comparison…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of chemical dependency treatment and additional vocational services on employment and earnings outcomes. This profile focuses on the comparison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Georgia Fatherhood Program on employment and earnings. The study used a nonexperimental comparison group design. Data were collected through…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…
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.