Use of computers in data analysis

Study level: Undergraduate study programme in psychology
Lecturers: Damir Ljubotina, Ph.D., Tomislav Bunjevac, Jasmina Tomas, Ivan Tomić,
Language: Croatian
Semester: 3rd (winter)
Status: elective
Form of instruction with class hours: 15 hours of lectures and 45 hours of exercises
Prerequisites: Statistics in psychology II
Student evaluation: written and oral exam

Course description

Introduction to SPSS/WIN program; Setting program  parameters; Creation of databases and variable definition; preparing and coding data and data entry; working with databases Treatment of missing data; Linear and non linear transformations; Functions; Data selection; Descriptive statistics; Testing differences between means; General linear model - Analysis of variance models; Measures of association; Partial correlation; Crosstabs and related statistics; Non-parametric tests; Regression analysis; Graphical presenting of data; Interpretation and presenting statistical analysis results; Use of SPSS syntax language.

Course objectives

By the end of this course students will be able to perform a basic statistical data analysis; Create a database, choose and perform optimal statistical procedures and be able to correctly interpret and present results.

Required readings

Brace, N, Kemp, R, Snelgar, R (2000). SPSS for Psychologists – A Guide to Data Analysis using SPSS for Windows. New York: Palgrave.

George, D., Mallery, D. (1999). SPSS for Windows - Step by Step. Boston: Allyn and Bacon.

Own WEB page with links to assigned class topics

Recommended readings

Bourque, L.B., Clark,V.A. (1992). Processing Data - The Survey Example. Newbury Park: Sage Publications.