Introduction to SPSS

Time: Monday, 8.30-10.00

Place: É. 7.102

Instructor: Gergo Prazsak


The aim of the course is to introduce students into the application of the tools of the most frequently used empirical social research equipment and to teach them to interpret the results of the statistical analysis.


The students are to carry out homework tasks out of class. At the end of the course the students are required to write a computational test.


The final grade will depend on performance in homeworks, and result of the test.


28.09.2009. Methodological introduction, first use of SPSS

Get the SPSS.

The place of empirical social research in the field of social researches. Variables, Measures. Descriptive statistics. SPSS windows.

12.10.2009. First SPSS steps

Variables, values, measures, labels. Dealing with datasets (merge, split, aggregate). The sample, the use of weights.

09.11.2009. Transformating variables

Missing, calaculate descriptives statistics with the SPSS. Compute new variables from old variables: compute, recode, count. Distributions.

23.11.2009. Correlate and causality: Contingency Tables

Hypothesis analysis. Lazarsfeld’s paradigm. Independence analysis. Significance (Chi-square test, assosiation measures).

07.12.2009. Correlate and causality: ANOVA

One-way & multi-way analysis of variance. F test.

14.12.2009. Case study

Synthesis of the acquaintance methods: concrete (paper-ready) hypothesis analysis and interpretation.

Basic reading:

Babbie, E. 2009. The Practice of Social Research. Belmont: Wadsworth

Freedman, D. Pisani, R. Purves R. 1998. Statstics. New York: WW Norton

Pallant, J. 2007. SPSS survival manual: a step by step guide to data analysis using SPSS for Windows. Sydney: Allen & Unwin