851300 Statistical data analysis with SPSS
- Type
- Lecture and seminar
- Semester hours
- 2
- Lecturer (assistant)
- Organisation
- Offered in
- Wintersemester 2022/23
- Languages of instruction
- Englisch
- Content
-
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, factorial design
analysis of multidimensional data:
regression analysis (multiple linear regression, fitting models, non-linear regression, weighted regression)
loglinear modelling (analysis of categorical data)
factor analysis (including principle components 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.