Assessment of Statistical Data Analysis Methods Employed in the Journal of Sport Management Studies from 2016 to 2017
Poster Presentation XML
Authors
1هیئت علمی/دانشگاه اصفهان
2دانشجو/دانشگاه اصفهان
Abstract
Introduction: A comprehensively and periodically critical examination of research topics, methodology, and techniques used in the studies, is considered as an approach to measure growth and progress in the new and emerging fields. Accordingly, the purpose of this investigation was to examine statistical data analysis methods employed in the articles of Sport Management Studies journal from 2016 to 2017.
Methodology: The method of the present study was analytic-descriptive. The population of the study included all of the articles published in the journal of Sport Management Studies from 2016 to the last article published in 2017 (89 articles). The target population was considered as the sample of study. The data collection tool was a researcher-developed checklist whose validity was evaluated by several professors and experts. The method of data collection was through library and content analysis. To analyze the data, descriptive statistics (tables, graphs, frequency percentage) was used.
Results: The results showed that 2.24% of the articles have used just descriptive statistics. 29.21% of them have used just inferential statistics. As well as, in 62.29% of them, both descriptive statistics and inferential statistics have been used. 5.61% of the articles, since they were qualitative, were defined as articles in which no statistical methods were used. Of the total inferential statistics used in articles, 6.09% of them have used just parametric statistics and 9.75% have used only nonparametric statistics. In addition, 84.14% of them used both parametric and nonparametric statistics. Of the seven descriptive statistics used in the articles, “mean” (25.5%) was the most frequent. of the ten nonparametric statistics were utilized by the researchers “Cronbach's alpha coefficient” (46.05%) was the most used in the articles. At the end, of the fourteen parametric statistics, “exploratory factor analysis” (18.35%) was the most frequent in the articles.
Discussion: The results showed that, though the variety of statistical methods presented in the various sources of statistics are numerous, there was not a great deal of diversity in the statistical methods used in the articles. Also, in the most of the articles, both parametric and nonparametric statistics were used; therefore, it is suggested that instructors pay attention to nonparametric statistics as much as parametric statistics in statistics classes.
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