Class Data Analysis

To prepare students for the application of statistical techniques, descriptive and inferential, to analyze data on the context of the course, based on the acquirement of a solid knowledge of basic and fundamental concepts on applied statistics. To prepare the student for doing academic scientific essays in the area of his/her cycle of studies, based on the development of a logic and organized reasoning that allow the definition of valid hypothesis and an adequate presentation of statistical results. At the end of this unit, the students should: 1.         Develop skills in the application of statistics, descriptive and inferential techniques in data analysis; 2.         Apply the knowledge learned in formulating hypotheses of the valid study and presenting statistical results adequately. 

Not applicable

1.         Introduction to JASP, databases creation and organization 2.         Descriptive statistics and exploratory 3.         Inferential statistics 4.         Parametric and nonparametric statistics 5.         Statistical power and effect size 6.         Analyses of association and correlation 7.         Univariate and Multivariate group comparisons  

Innovative methodologies will be used to support the teaching-learning process, namely peer assessment, digital tools, group sessions, and problem-based learning (PBL).

Thomas, J. R., Nelson, J. K., & Silverman, S. J. (2022). Research methods in physical activity (8th ed.). Human Kinetics. Smith, M. (2021). Doing research in sport and exercise: A student's guide. SAGE. Jones, I. (2022). Research methods for sports studies (4th ed.). Routledge. Malek, M. H., Coburn, J. W., & Marelich, W. D. (2019). Advanced statistics for kinesiology and exercise science: A practical guide to ANOVA and regression analyses. Routledge