Experimental Data Analysis - AAA500172

• Title: Experimental Data Analysis
• Guaranteed by: Department of the English Language and ELT Methodology (21-UAJD)
• Faculty: Faculty of Arts
• Actual: from 2020
• Semester: summer
• Points: 0
• E-Credits: 5
• Examination process: summer s.:
• Hours per week, examination: summer s.:0/2, C [HT]
• Capacity: unknown / unknown (unknown)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: not taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Additional information: https://dl1.cuni.cz/course/view.php?id=8736
• Note: course can be enrolled in outside the study plan; enabled for web enrollment
• Guarantor: doc. Luca Cilibrasi, Ph.D.

Annotation

Last update: doc. Luca Cilibrasi, Ph.D. (04.02.2020)

The course aims at familiarising students with the basics of experimental data analysis. The first half of the course consists in seminar-like classes in which students are presented with the main statistical tests and the basic principles of statistical analysis. In the second part, students will be given data from real psycholinguistic experiments and will be trained on how to analyse them.

Week 1: Introduction
Week 2: Experimental research - numerical, categorical and ordinal variables; basic statistical principles of experimental design
Week 3: Running statistical tests - The logic of p-values and how to read them
Week 4: Regression - understanding if variables are related using correlations and regression, understanding the difference between causation and correlation
Week 5: Comparing means - repeated measure t-test, independent samples t-test, ANOVA
Week 6: Midterm test
Week 7: Linear mixed models - introducing random effects
Week 8: Linear mixed models - familiarising with r
Week 9: Data analysis in r
Weeks 10 - 12: Practice with real data
Week 13: Submission of the final report

Course completion requirements

Last update: doc. Luca Cilibrasi, Ph.D. (04.02.2020)

Students are required to obtain 70 points out of a 100 to pass the course. Points are divided as follows:

40 points for the midtem

40 points for the data report to be submitted at the end of the course

20 points for participation