ERIC Number: EJ868448
Record Type: Journal
Publication Date: 2009
Reference Count: 11
Data-Driven Decision Making in Practice: The NCAA Injury Surveillance System
Klossner, David; Corlette, Jill; Agel, Julie; Marshall, Stephen W.
New Directions for Institutional Research, n144 p53-63 Win 2009
Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting injury and exposure data from a sample of member institutions through the Injury Surveillance System (ISS). These data inform policy decisions made by NCAA committees and external organizations charged with overseeing the health and safety of student athletes. These data also provide individual institutions with injury information for campus-based evaluations of student athletes' welfare. The ISS example in this chapter illustrates how data-driven decision making can be applied to other aspects of intercollegiate athletics. The ISS demonstrates how elements such as variable definitions and sampling schemes are key features for developing longitudinal data sets that can be used to inform decision making and evaluate the impact of policy change. The chapter also describes the challenges and trade-offs of data collection based largely on voluntary cooperation among member institutions.
Descriptors: College Athletics, Injuries, Decision Making, Data, Management Information Systems, Use Studies, Theory Practice Relationship, Safety, Data Analysis, Sampling, Professional Associations, Information Policy, Institutional Research, Performance Factors
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Adult Education; Higher Education
Authoring Institution: N/A