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Korean J Women Health Nurs > Volume 13(3); 2007 > Article
Korean Journal of Women Health Nursing 2007;13(3):211-218.
DOI: https://doi.org/10.4069/kjwhn.2007.13.3.211   
Analysis on Reports of Statistical Testings for Mean Differences
Chaeweon Chung, Jeung Im Kim, Hye Sook Park, Suk Hee Ahn, Dong Sook Cho, Somi Park
1College of Nursing Seoul National University, Korea.
2Department of Nursing, SoonChunHyang University, Korea.
3Department of Nursing, Catholic Sangji College, Korea.
4Department of Nursing, Chungnam National University, Korea.
5Department of Nursing, Eulji University, Korea.
6Department of Nursing, Wonju College of Medicine, Yonsei University, Korea. somi@yonsei.ac.kr
This study aimed to evaluate the accuracy and adequacy of research papers reporting statistical testings for mean differences.
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.
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.
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.
Key Words: Chi-square test; t-test; Analysis of Variance

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