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.
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