Journal of Nursing Education

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Major Articles 

Statistics Used in Current Nursing Research

Kathleen Zellner, MSN, RN, BC; Connie J. Boerst, MSN, RN, BC; Wil Tabb, PhD

Abstract

ABSTRACT

Undergraduate nursing research courses should emphasize the statistics most commonly used in the nursing literature to strengthen students’ and beginning researchers’ understanding of them. To determine the most commonly used statistics, we reviewed all quantitative research articles published in 13 nursing journals in 2000. The findings supported Beitz’s categorization of kinds of statistics. Ten primary statistics used in 80% of nursing research published in 2000 were identified. We recommend that the appropriate use of those top 10 statistics be emphasized in undergraduate nursing education and that the nursing profession continue to advocate for the use of methods (e.g., power analysis, odds ratio) that may contribute to the advancement of nursing research.

AUTHORS

Received: October 1, 2004

Accepted: June 30, 2005

Ms. Zellner is Associate Professor and Ms. Boerst is Associate Professor and Undergraduate Program Director, Bellin College of Nursing, and Dr. Tabb is ad hoc professor, University of Wisconsin Green Bay, Green Bay, Wisconsin.

Address correspondence to Connie J. Boerst, MSN, RN, BC, Associate Professor and Undergraduate Program Director, Bellin College of Nursing, 725 South Webster Avenue, PO Box 23400, Green Bay, WI 54305-3400; e-mail: connie.boerst@bcon.edu.

Abstract

ABSTRACT

Undergraduate nursing research courses should emphasize the statistics most commonly used in the nursing literature to strengthen students’ and beginning researchers’ understanding of them. To determine the most commonly used statistics, we reviewed all quantitative research articles published in 13 nursing journals in 2000. The findings supported Beitz’s categorization of kinds of statistics. Ten primary statistics used in 80% of nursing research published in 2000 were identified. We recommend that the appropriate use of those top 10 statistics be emphasized in undergraduate nursing education and that the nursing profession continue to advocate for the use of methods (e.g., power analysis, odds ratio) that may contribute to the advancement of nursing research.

AUTHORS

Received: October 1, 2004

Accepted: June 30, 2005

Ms. Zellner is Associate Professor and Ms. Boerst is Associate Professor and Undergraduate Program Director, Bellin College of Nursing, and Dr. Tabb is ad hoc professor, University of Wisconsin Green Bay, Green Bay, Wisconsin.

Address correspondence to Connie J. Boerst, MSN, RN, BC, Associate Professor and Undergraduate Program Director, Bellin College of Nursing, 725 South Webster Avenue, PO Box 23400, Green Bay, WI 54305-3400; e-mail: connie.boerst@bcon.edu.

ABSTRACT

Undergraduate nursing research courses should emphasize the statistics most commonly used in the nursing literature to strengthen students’ and beginning researchers’ understanding of them. To determine the most commonly used statistics, we reviewed all quantitative research articles published in 13 nursing journals in 2000. The findings supported Beitz’s categorization of kinds of statistics. Ten primary statistics used in 80% of nursing research published in 2000 were identified. We recommend that the appropriate use of those top 10 statistics be emphasized in undergraduate nursing education and that the nursing profession continue to advocate for the use of methods (e.g., power analysis, odds ratio) that may contribute to the advancement of nursing research.

AUTHORS

Received: October 1, 2004

Accepted: June 30, 2005

Ms. Zellner is Associate Professor and Ms. Boerst is Associate Professor and Undergraduate Program Director, Bellin College of Nursing, and Dr. Tabb is ad hoc professor, University of Wisconsin Green Bay, Green Bay, Wisconsin.

Address correspondence to Connie J. Boerst, MSN, RN, BC, Associate Professor and Undergraduate Program Director, Bellin College of Nursing, 725 South Webster Avenue, PO Box 23400, Green Bay, WI 54305-3400; e-mail: connie.boerst@bcon.edu.

10.3928/01484834-20070201-03

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