Akademik Dersler - İçerik

Will be able to explain the basic characteristics of the data analysis process in sport management research
Will be able to explain the concepts of data, variable, measurement, and analysis in sport management research.
Will be able to explain the relationship between the data analysis process and the research problem, purpose, hypotheses, and research questions.
Will be able to distinguish the areas of use of quantitative, qualitative, and mixed data types in sport management.
Will be able to explain data collection tools and levels of measurement in sport management research
Will be able to explain data collection tools such as surveys, scales, interview forms, observation forms, and document analysis.
Will be able to distinguish nominal, ordinal, interval, and ratio levels of measurement.
Will be able to determine appropriate analysis methods according to levels of measurement.
Will be able to organize a dataset before analysis and prepare it for analysis
Will be able to perform data entry, variable definition, coding, and data organization procedures.
Will be able to detect missing data, outliers, and incorrect data entries.
Will be able to clean and transform the dataset in accordance with the purpose of analysis.
Will be able to apply descriptive statistics in the context of sport management research
Will be able to calculate frequency, percentage, mean, standard deviation, minimum, and maximum values.
Will be able to present participant characteristics and main variables in sport management research through descriptive statistics.
Will be able to interpret descriptive statistics results through tables, graphs, and text.
Will be able to select appropriate statistical analysis methods in sport management research
Will be able to determine the appropriate analysis method according to the research question, hypothesis, variable type, and number of groups.
Will be able to explain the basic differences between parametric and non-parametric analysis methods.
Will be able to distinguish the areas of use of comparison, relationship, and prediction analyses in sport management research.
Will be able to apply basic statistical analyses and interpret their results
Will be able to apply basic analyses such as t-test, ANOVA, chi-square, correlation, and regression.
Will be able to explain basic statistical indicators such as significance level, p-value, confidence interval, and effect size.
Will be able to interpret analysis results in line with research questions and hypotheses.
Will be able to present data analysis results in accordance with academic reporting principles
Will be able to report analysis results through tables, graphs, and explanatory texts in accordance with academic writing rules.
Will be able to express findings objectively, clearly, and coherently based only on analysis results.
Will be able to establish the relationship among findings, discussion, and conclusion sections within scientific coherence.
Will be able to evaluate ethical principles and scientific responsibilities in the data analysis process in sport management research
Will be able to explain the principles of data confidentiality, anonymity, informed consent, and data security.
Will be able to distinguish ethical issues such as misinterpretation, selective reporting, data manipulation, and misleading presentation in the data analysis process.
Will be able to evaluate analysis results in sport management research in line with the principles of scientific integrity, transparency, and social responsibility.