Development of a DNP measurement grid to increase the rigor of doctor of nursing practice students' data collection and analysis methods
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Updated: Nov 26, 2025

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Linda L Costa1, Debra Bingham2, Carla L Storr1
1University of Maryland School of Nursing, 655 West Lombard St., Baltimore, MD 21201, United States of America.
Abstract:
A key component of the DNP project rigor is the collection and analysis of data or measurement. A Steering Committee at the University of Maryland formed to improve the quality of DNP projects established a workgroup to evaluate the current measurement content in four DNP core courses with the goal of establishing DNP project measurement criteria across the curriculum. The steps included: Step 1: Identify QI Measurement Methods and Tools. Identify the essential QI measurement methods and tools recommended by national organizations. Step 2: Create a DNP Measurement Grid. Define main data methods topics with subtopics. Step 3: Map the DNP core courses. Using the DNP Measurement Grid criteria determine the measurement content included in each course and student mastery level. The level of mastery was ranked from introduced (awareness), to reinforced (knowledge), to demonstrated (application). Step 4: Evaluate and Refine the DNP Measurement Grid Criteria. Adjustments were made in the DNP curriculum to include topics and subtopics at the desired mastery level. The rigor of data measurement and analysis will be evaluated in future DNP projects. The workgroup's four-step process provides a path that facilitated improving curriculum measurement content. This process may provide guidance for others undertaking similar work.
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