Statistics III 2500-EN-PS-OB2L-5
The aim of the course is to cover a range of topics in multivariate analysis,
including theoretical framework, statistical model selection,
computational techniques, and drawing a conclusion about the data.
Students will gain theoretical knowledge of these techniques and more
importantly apply methods practically using statistical software. Students
will learn how to make data-based decision, but also how to communicate
results correctly in written and visual form.
The course will be divided into two parts. The first one will be on
statistical techniques aiming to answer questions about differences
(various types of ANOVA). The second part will be related to methods
allowing the students to investigate research questions about
mechanisms (various types of regression analysis). Students will be also
familiarized with basic psychometric techniques used in assessing the
reliability of psychological scales and building indicators in relation to
Exploratory Factor Analysis results.
Type of course
Learning outcomes
Learning outcomes
Procedural knowledge how to run statistical analysis
Skills to choose the right statistical procedures for a given problem
Knowledge how to interpret and draw conclusions from the results of
statistical procedures with regard to different types of data and
research problems
Skills to communicate research outcomes
Skills to present the data according to APA standards
Assessment criteria
The final grade will consist of:
1. Activity during the class (10%)
Points will be given to the students who will answer correctly the
instructor’s questions during the class. At the end of the course, all
the collected points will be summed up and they will contribute to
the final grade as 10% of it.
2. Homework (20%) The students should expect 2-3 short homework
assignments during the course
3. Midterm exam (30%)
4. Final exam (40%)
Grading scale:
95%+ = 5!
90-94% = 5
80-89% = 4.5
70-79% = 4
60-69% = 3.5
50-59% = 3
below 50% = 2 (fail)
Attendance rules
Attendance in the course is crucial.
Two unexcused absences are allowed.
Two more absences are allowed in case of excuse.
More than 4 absences result in lack of possibility to pass the course.
Additional work is given in case of more absences than 2 regardless of the
fact if the absences are unexcused or excused.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: