Research Methods in Sports Management

Running head: RESEARCH METHODS IN SPORTS MANAGEMENT
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Research methods in sports management
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RESEARCH METHODS IN SPORTS MANAGEMENT
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Research methods in sports management
The findings of Morse and McEvoy (2014) gives details of a qualitative research in
the management of sports using a case study to present their research study. In the article, the
authors progressively explain the use of qualitative methods to gather data that helps in
understanding different situations that evolve around the management of sporting activities. The
approach used is vital in the development of effective questionnaires that invoke a deeper sense
to the research questions. Additionally, another purpose of the article is the development of the
research framework by application of the qualitative technique that gives way to the application
of the quantitative data analysis method. The authors establishes that the application of
qualitative research could lead to errors that can only be addressed using the quantitative
approach. The use of the interviews and the open-ended questionnaires in qualitative method
could be easily prone to biases that lead to inaccuracy and unreliable data (Rumbold, Fletcher,
and Daniels, 2018, pp.27-38). For instance, in cases of financial accounting in sports
management, the article puts the emphasis of application of the quantitative method due to the
massive interaction with numeric figures. The raw data collected from the annual reports,
budgets, and records calls for the implementation of mixed methods could be a potential solution
to the errors.
However, (Holt et al., 2018, pp.1111-1117) deduces that determining the type and
nature of the data to be collected is the key to selecting the suitable method to collect data in
sporting activities. This is very vital for a sports management researcher given the wide range of
information that can be collected. Additionally, before data collection, the type of sampling to be
used heavily determines the outcomes of the findings in terms of viability among other factors.