Introduction to study design and statistics - 2025 Fall
Dates Thursday, 5:15-6:45 pm
Venue Izu 116
Aims The aim of the course is to learn the basics of study design and mathematical statistics. By the end of the semester, you should be able to understand and run simple statistical analyses common in cognitive science and understand the related study design. The course will also provide a firm background to learn additional topics after the semester.
You can bring your computer to the class.
The course is for Cognitive Science students. Contact me if you're interested in the course, but you're learning something else.
Topics
Links and slides will be added during the semester.
Bases of study design
Planning a data collection
Google Form use (brief info TBA), help)
Bases
Measurement levels (slides TBA)
Population and sample (slides TBA, táblázat)
Bases of data handling
Spreadsheet
Data file for practice
Statistical software packages: data arrangement, variables and their properties, CS data handling (slides TBA)
Data exchange between packages (slides TBA)
Simple descriptive statistics for a single variable (slides TBA, CS slides TBA)
Statistics with statistics software and spreadsheet software
Describing variable pairs (slides TBA, CS slides TBA)
Linear fit
Statistical hypothesis test (slides TBA, slides TBA)
Studying a single sample distribution
Data file for practice
Comparing conditions and groups (slides TBA, CS slides TBA)
Comparing two conditions or groups
Comparing more than two conditions or groups
Multi-way comparison
Studying nominal variables (slides TBA)
Comparing nominal variables
Relation of nominal variables
Presenting the results (slides TBA)
Making diagrams
Presenting in text
Data collection materials
TBD
Requirements
Class attendance (not more than 3 missed classes)
Homeworks (not more than 2 missed homeworks)
Midterm and final exams
The grade will be the mean of the two exam grades, provided that class attendance and homework requirements are met.