President and Professor.
Statistical process control in nursing research
Article first published online: 17 NOV 2011
Copyright © 2011 Wiley Periodicals, Inc.
Research in Nursing & Health
Volume 35, Issue 1, pages 82–93, February 2012
How to Cite
Polit, D. F. and Chaboyer, W. (2012), Statistical process control in nursing research. Res. Nurs. Health, 35: 82–93. doi: 10.1002/nur.20467
- Issue published online: 2 JAN 2012
- Article first published online: 17 NOV 2011
- Manuscript Accepted: 10 OCT 2011
- quasi-experimental research;
- research design;
- statistical process control;
- time series
In intervention studies in which randomization to groups is not possible, researchers typically use quasi-experimental designs. Time series designs are strong quasi-experimental designs but are seldom used, perhaps because of technical and analytic hurdles. Statistical process control (SPC) is an alternative analytic approach to testing hypotheses about intervention effects using data collected over time. SPC, like traditional statistical methods, is a tool for understanding variation and involves the construction of control charts that distinguish between normal, random fluctuations (common cause variation), and statistically significant special cause variation that can result from an innovation. The purpose of this article is to provide an overview of SPC and to illustrate its use in a study of a nursing practice improvement intervention. © 2011 Wiley Periodicals, Inc. Res Nurs Health 35:82–93, 2012