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 97
Study Type: Causal Impact Analysis
This study’s objective was to examine the effects of Des Moines Area Community College’s Mandatory Placement Project on credit completion and fall-to-spring semester persistence. The intervention…Study Type: Causal Impact Analysis
The study’s objective was to determine whether universities participating in Transformative Graduate Education Programs (TGPs) conferred a greater number of science, technology, engineering, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in technology-based three-dimensional hands-on activities on middle school girls’ interest in becoming an engineer or technologist.…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of participating in a female-only STEM living-learning program on undergraduate female STEM majors’ intentions to pursue graduate studies in a STEM…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of three teaching innovations—a contract, confidence-building exercises, and encouragement to apply for science internships—on performance in an…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of inspections and consultations by Washington State’s Department of Occupational Safety and Health (DOSH) on workers’ compensation claim rates and…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of OSHA inspections on injuries in single-facility manufacturing firms in Pennsylvania between 1998 and 2005. The study used a regression model to…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of random OSHA inspections on firms’ injury-related outcomes and performance. To do this, the authors used a regression model to compare changes over…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of the sequence and timing of OSHA inspections on compliance with OSHA standards, as measured by the number of violations cited during an inspection.…Study Type: Causal Impact Analysis
The study’s objective was to determine whether OSHA inspections that resulted in penalties or citations prevented specific types of workplace injuries. The study used a regression model to compare…
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.