Poster Presentation

Monday, November 5, 2007
10:30 AM - 11:45 AM

Monday, November 5, 2007
1:30 PM - 2:45 PM
This presentation is part of : Scientific Posters
Using Existing Data to Set and Evaluate Benchmarks
Michelle L. Dunham, PhD, Jeffrey Kelley, PhD, and Dawn B. Clayton, PhD. Research and Development, Assessment Technologies Institute, LLC, Overland Park, KS, USA
Learning Objective #1: identify considerations in choosing appropriate data for use in establishing assessment benchmarks.
Learning Objective #2: implement evidence-based models to establish assessment benchmarks based on existing program data.

As the accountability associated with the use of assessments increases, it is important to remember that the use of the assessment is only as appropriate as the decisions resulting from it.  Decisions may include selection, remediation, or progression.   The quality of these decisions relies heavily on the appropriate choice of a benchmark and continuing evaluation of the benchmark as an effective separation point.  Using a case study format and sample data, the session will center on how an institution may be able to use readily-available student data to help set benchmarks on assessments and monitor their effectiveness over time.  Attention will be given to appropriate selection of an outcome measure relevant to the benchmarking decision and possible considerations associated with that choice.  A model for the selection of a benchmark will be demonstrated, with emphasis given to simple analytic techniques and interpretation of results.  Additionally, methods for ongoing evaluation of an established benchmark will be discussed.  The focus of the session is on providing nursing faculty a straightforward method for establishing assessment benchmarks using existing data.