Journal List > Korean J Women Health Nurs > v.13(3) > 1127475

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Chung, Kim, Park, Ahn, Cho, and Park: Analysis on Reports of Statistical Testings for Mean Differences
Original Article
Korean Journal of Women Health Nursing

Korean Journal of Women Health Nursing 2007; 13(3): 211-218.

Published online: 22 May 2013

DOI: https://doi.org/10.4069/kjwhn.2007.13.3.211

Analysis on Reports of Statistical Testings for Mean Differences

ChaeWeon Chung1, Jeung Im Kim2, Hye Sook Park3, Suk Hee Ahn4, Dong Sook Cho5, SoMi Park6

1Assistant Professor, College of Nursing Seoul National University, Korea.

2Associate Professor, Department of Nursing, SoonChunHyang University, Korea.

3Associate Professor, Department of Nursing, Catholic Sangji College, Korea.

4Assistant Professor, Department of Nursing, Chungnam National University, Korea.

5Associate Professor, Department of Nursing, Eulji University, Korea.

6Associate Professor, Department of Nursing, Wonju College of Medicine, Yonsei University, Korea.

Corresponding author (somi@yonsei.ac.kr)

Received 16 August 2007       Accepted 7 September 2007

Copyright © 2007 Korean Academy of Women's Health Nursing

Abstract

Purpose

This study aimed to evaluate the accuracy and adequacy of research papers reporting statistical testings for mean differences.

Methods

Original research articles utilized t-test, Chi-square test, and ANOVA were reviewed from Korean Journal of Women Health Nursing published from the year 2004 to 2006. Seventy-six papers were evaluated in accordance with formatted criteria in respect to an inclusiveness of research title, accuracy of statistical methods and presentation styles, and errors in reporting statistical outcomes.

Results

Research titles were quite comprehensive, however overall accuracy of statistical values and basic formats reached only 60 to 80% by items. Details of the presentation in the reporting of outcomes were not complied with the guidelines, which need careful concerns of the writers. Errors of English in table presentation were found in more than 30% of the papers.

Conclusion

The outcome would be reflected in the submission guidelines for future writers. To reach the level comparable with internationally recognized nursing journals, concrete knowledge to apply statistical methods should be ensured in the processes of submission, reviews, and editing.

Keywords: Chi-square test, t-test, Analysis of Variance

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