851300 Statistical data analysis with SPSS

Lecture and seminar
Semester hours
Lecturer (assistant)
Offered in
Sommersemester 2023
Languages of instruction


introduction and recapitulation:
types of traits
data file handling in SPSS
descriptive statistics (incl. editing of diagrams)
analysis of continuous data: t-tests, simple linear regression, correlation)
analysis of categorical data: chi-squared test of independence, contingency tables
analysis of variances: one-way design, two-way design, MANOVA

analysis of multidimensional data:
regression analysis (multiple linear regression, fitting models, non-linear regression, weighted regression)
loglinear modelling (analysis of categorical data)
factor analysis, principle component analysis
classification: cluster analysis, discriminant function analysis

In accordance with the specific needs of the participating students, foci can be changed.

Previous knowledge expected

basic knowledge in statistics

Objective (expected results of study and acquired competences)

Students should be able to solve statistical problems with SPSS and interpret the results correctly.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.