Statistics for the Social Sciences

Courses in foreign languages at the Faculty

Maria Nawojczyk prof. AGH

Semester: spring

Key words:

Statistics for the Social Sciences (print)

Course description:

The main goal of this course is to look at science as a method of inquiry – way of learning and knowing things about the world around us. In attempt to develop generalized understanding, one has to seek to discover patterns of interrelationships among variables. Very often these interrelationships take a cause-and-effect form. To understand the nature and logic of causation as well as to provide tools for exploaration such interrelationships will be possible after learning:

- levels of measurement and forms of data,
- defining variables,
- measuring central tendency,
- measuring dispersion,
- constructing and interpreting contingency tables,
- two-sample ‘t’ test,
- one-way analysis of variance,
- measuring association in contingency tables,
- the chi-square test,
- correlation-regression analysis.

All these theoretical issues will follow with practical implementation with the help of SPSS using the ESS (European Social Survey) data base.


  • Earl Babbie; Basics of Social Research; Wadsworth, 1999.

  • Chava Frankfort-Nachmias, David Nachmias; Research Methods in the Social Sciences; St. Martin’s College Publishing Group 1996.

  • Guides for SPSS.

Grading system:

Two midterm tests, research project, and final written exam


The theoretical background is given on individual tutorial basis but computer lab  is with regular classes.