Syllabus
Course Schedule
Week 1: Course overview. Introduction to jamovi environment.
Week 2: Data matrix. Data preparattion (recode, compute). Assigning of labels to variables.Week 3: Descriptive statistics.Week 4: Introduction to probability distributions. Sampling variation. Central limit theorem. Confidence intervals (for the mean).Week 5: Statistical hypotheses testing framework. One-sample t-test.Week 6: Independent-samples t-test. Week 7: Analysis of variance (within- and between-group variability, F-test, post-hoc tests).Week 8: Correlation analysis (Pearson and Spearman correlation coefficients, Scatterplot).Week 9: Analysis of categorical data I (confidence interval for a proportion, introduction to crosstabs).Week 10: Analysis of categorical data II (chi-square test of independence, contingency coefficients, residuals).
Annotation
Course in the winter semester (from October 2023) is only for PPE students.
All materials for the course will be availasble in SIS or Google disc: https://drive.google.com/drive/folders/1wI6nWbnqQuo_kl-WS1j_igCFhan_dgrB?usp=sharing
This is a mandatory course for students of Politics, Philosophy and Economics programme. Students will learn and practice basic statistical methods by analyzing sociological survey data in a program called jamovi (freeware). As this is an introductory course, no previous knowledge of statistics is required.