Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 157
Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between employees’ intent to leave (that is, employees’ stated intentions to leave the firm in the next year) and their participation in on-the-…Study Type: Causal Impact Analysis
The study examined the relationship between generous state Supplemental Security Income (SSI) benefits and the employment of older worker nearing SSI eligibility age. The authors used a regression…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Eastern Mississippi Community College's (EMCC) workforce services training on earnings and employment. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of ban-the-box (BTB) policies on employment. The study used a difference-in-differences design to compare the employment outcomes of individuals in “…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the PluggedIn and WorkREADY! advanced manufacturing training program on education, employment, and earnings outcomes. The study used a…Study Type: Causal Impact Analysis
The study objective was to examine the impact of the Sub-baccalaureate Postsecondary Education Program on the employment and earnings of adults with a high school education in Indiana. The author…Study Type: Causal Impact Analysis
The study aimed to examine the academic and labor market outcomes of students who were enrolled in a Career Academy track in a large, West Coast, urban high school district, compared with peers…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non-experimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the employment, earnings, and benefit receipt of dislocated workers in Indiana. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the employment, earnings, and benefit receipt of low-income adults in Indiana. The author used…
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.
