The course is an additional class in the Master's program 'Sociology - European Societies" and as such it is not listed on Campus Management. If you are a student of the said Master's or the course is listed in a module of your study program, simply come to the first session. In other cases write an e-mail to the instructor. close

This course aims on repetition and advancing the knowledge and usage of methodological principles of quantitative data analysis. This includes: - descriptive analysis, - statistical inference, - choosing the right procedure for specific research questions, - choosing the right procedure for the data type, - statistical analysis. Beside this seminar has the objective to provide a practical introduction to the application of the software package SPSS. At the end of the seminar, students should be able to self-reliantly conduct basic reproducible statistical analyses. The topics taught in this course include: - data management (dataset and variable modification, index building), - calculating univariate distributions, - running univariate, bivariate and multivariate statistical analyses, - constructing graphs, - output interpretation, and - results reporting. Basic knowledge in data analysis is strongly recommended. The number of participants it limited. Data We will use the data from the European Social Survey (ESS): http://www.europeansocialsurvey.org/ For more information see: Jowell, Roger, 2007: Measuring attitudes cross-nationally. Lessons from the European Social Survey. Los Angeles [u.a.]: Sage [u.a.]. Recommended preparatory reading English Field, Andy (2009): Discovering Statistics Using SPSS. London: SAGE. Griffith, Arthur (2007): SPSS for Dummies. Hoboken: Wiley Publishing. Knoke, David; Bohrnstedt, George W.; Potter Mee, Alisa (2002): Statistics for Social Data Analysis. Belmont: Thomson. Lewis-Beck, Michael S. (1995): Data Analysis. An Introduction. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-103. Thousand Oaks, CA: Sage. German Akremi, Leila; Fromm, Sabine; Baur, Nina (2011): Datenanalyse mit SPSS für Fortgeschrittene. 3. Aufl. Wiesbaden: VS Verlag für Sozialwissenschaften. Backhaus, Klaus/Erichson, Bernd/Plinke, Wulff u.a. (2008): Multivariate Analysemethoden. Eine anwendungsorientierte Einführung. Berlin u.a.: Springer. Brosius, Felix (2012): SPSS 20 für Dummies, Weinheim: Wiley-VHC. Dieckmann, Andreas (2010): Empirische Sozialforschung: Grundlagen, Methoden, Anwendungen, Reinbek: Rowohlt-Taschenbuch-Verlag, 4. Auflage. Fromm, Sabine (2012): Datenanalyse mit SPSS für Fortgeschrittene 2. Multivariate Verfahren für Querschnittsdaten. 1. Aufl. Wiesbaden: VS Verlag für Sozialwissenschaften. Zöfel, Peter (2005): SPSS-Syntax. Die ideale Ergänzung für effiziente Datenanalyse. 2. Aufl. München: Pearson Studium. close