Application of modern statistical technologies in analyzing qualitative research in sports management

Nowadays, qualitative research has gained general acceptance due to the presentation of interpretive and semantic results, and social movements, interactions between individuals and societies, and the disappearance of social phenomena have all created an additional motivation and favorable background for researchers to approach such research, and therefore the necessary tools for conducting such research are expanding day by day. Therefore, the purpose of this research was to apply modern statistical technologies in analyzing qualitative research on sports management. The research method is descriptive-analytical and of an applied type, which was carried out using the documentary-library method. The statistical population of this research includes documents, evidence, studies, sites, books, and scientific articles that have been carried out abroad and within the country. The method of limiting the sampling was to use this criterion, which was used to select 28 documents and evidence about the benefits and how to use computers, the Internet, and various software in the field of research. Accordingly, the types of qualitative analysis include thematic, coding, content, narrative, and phenomenology. The results showed that the common qualitative analysis softwares are: Nvivo, MAXQDA, Atlas.t, Hyper Research, Nud*ist, AnSWR, Qualrus, TAMS and Dedoos. Also, all of these softwares are analytically reliable and all the results extracted from them can be published. On the other hand, Nvivo software is the most widely used software used in qualitative research, followed by MAXQDA and Atlas.ti softwares. Finally, the use of computer software to aid analysis in qualitative research is influenced by various factors such as the nature of the data and the researcher's preferred approach to data analysis..