Analysis on Reports of Statistical Testings for Mean Differences.
- Author:
Chaeweon CHUNG
1
;
Jeung Im KIM
;
Hye Sook PARK
;
Suk Hee AHN
;
Dong Sook CHO
;
Somi PARK
Author Information
1. College of Nursing Seoul National University, Korea.
- Publication Type:Original Article
- Keywords:
Chi-square test;
t-test;
Analysis of Variance
- MeSH:
Analysis of Variance;
Chi-Square Distribution;
Nursing;
Women's Health
- From:Korean Journal of Women Health Nursing
2007;13(3):211-218
- CountryRepublic of Korea
- Language:Korean
-
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.
