Practicum in Psychological Statistics - APS300475E

• Title: Practicum in Psychological Statistics
• Guaranteed by: Department of Psychology (21-KPS)
• Faculty: Faculty of Arts
• Actual: from 2023
• Semester: summer
• Points: 3
• E-Credits: 3
• Examination process: summer s.:
• Hours per week, examination: summer s.:0/2, Ex [HT]
• Capacity: unknown / unknown (10)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: Czech
• Teaching methods: full-time
• Teaching methods: full-time
• Is provided by: APS300475
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: Mgr. et Mgr. Filip Děchtěrenko, Ph.D.
• Incompatibility : APS300475

Annotation

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

This course is designed for everyone who wants to practice in statistical analysis. The course will analyze several datasets, with an emphasis on the correct interpretation of the results. This course assumes knowledge equivalent to a basic course in statistics. It is advisable to enroll in this course in the academic year when there is no mandatory statistics course in the curriculum. The course assumes knowledge of the statistical software Jamovi. The course will be taught in English.

Aim of the course

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

The goal of the course is to practice data analysis and interpretation using the Jamovi software.

Course completion requirements

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

A requirement for completing the course is the processing of statistical analysis on a selected dataset.

Literature

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

Navarro, D., & Foxcroft, D. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners (Version 0.70). 

Poldrack, R. (2023). Statistical Thinking: Analyzing Data in an Uncertain World. Princeton University Press. 

Alexander, R. (2023). Telling Stories with Data: With Applications in R. CRC Press. https://tellingstorieswithdata.com

Teaching methods

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

The teaching will be in-person. In each session, a dataset will be introduced along with research questions, and then students will independently try to test and interpret the given hypotheses.

Randomly selected datasets that will be used include:

• Prediction of grades of Portuguese students
• Sentiment analysis of Spotify
• NHANES dataset (data on the health status of the US population)
• LOVOO dating site data analysis

Learning resources

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

All information about the course will be available in Moodle.

Entry requirements

Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (03.01.2024)

The course assumes basic knowledge of statistics (linear regression, t-tests, analysis of variance, correlation, contingency tables) and familiarity with the Jamovi software. This course is not suitable for students who have not yet studied statistics, as it focuses on practicing methods, not teaching them from scratch.