Information Systems and Statistical Analysis

ARCCA's Information Systems Group supports engineering with statistical analysis of engineering databases and test data. Our professionals are adept at using leading edge technology to help make sense out of mountains of information. ARCCA data analysts and computer specialists have proven experience with complex data processing and statistical analysis projects.

Our simple yet effective methodology has been applied to a variety of situations such as:

• Employee Surveys
• Highway Crash Data Analysis
• Department of Defense Vehicle Mishap Data

Employee Surveys

ARCCA conducts employee surveys for government agencies and Fortune 500 firms. Study areas include employee satisfaction, employee transportation, ridesharing, and alternative workplace studies. For these projects we employ both scannable forms and web-based interactive forms. ARCCA's success is driven by concisely written survey questions and instructions coupled with high survey response rates.

Highway Crash Data Analysis

ARCCA developed a PC-based data query and reporting system for analysis of the National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) and General Estimates System (GES), and the Fatality Analysis Reporting System (FARS). These data systems cover nearly 20 years of highway crash data collected by the U. S. Department of Transportation. The system is used for spotting problem areas and trends with vehicle crashworthiness and occupant injury prevention. ARCCA uses this system for both client sponsored studies and ARCCA internal research.

Department of Defense Vehicle Mishap Data

For the U. S. Army, ARCCA conducted a data analysis study with the objective to identify the primary injury mechanisms in ground vehicle mishaps. This effort required:

• Developing custom software to convert data from an existing Army mishap data system into a user accessible relational database
• Augmenting the database with additional information retrieved from manual file review · Developing a query system to support detailed analysis of mishaps and associated injuries
• Developing a prioritized list of injury mechanisms for consideration in design of state-of-the-art occupant protection systems