Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 391 - 400 of 484
Study Type: Causal Impact Analysis
The study examined the impact of changes to the Social Security earnings test in 1996 and 2000 on employment outcomes. The authors used a nonexperimental design and the data from the Current…Study Type: Causal Impact Analysis
The study examined the impact of the repeal of the earnings test under the Senior Citizens Freedom to Work Act of 2000 on the labor supply and earnings of older men ages 62 to 72. The authors used a…Study Type: Causal Impact Analysis
The study examined the impact of the strength of state disability discrimination laws on hiring rates of older men. The study used statistical models and data from the Health and Retirement Study…Study Type: Causal Impact Analysis
The study’s objective was to examine differences in hospital worker exposures to ethylene oxide (EtO) after the implementation of the 1984 and 1988 OSHA EtO standards. The authors used a random…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of systematic search training on the number of business ideas participants generated, particularly business ideas inspired by occupational experience…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in the Integrated Product Development (IPD) program on dislocated workers’ entrepreneurial activities. The authors used data from a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Joint/Dual (JD) program on retention and graduation rates for community college and undergraduate engineering students who were under-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Engineering Admissions Partnership Program (E-APP) on retention rates of community college students who transferred to Iowa State University (…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning communities on college credits earned and the completion of a college degree at Hinds Community College in Raymond, Mississippi. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of basic skills curricular learning communities on the persistence of underprepared community college students at 13 community colleges in eight…
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.