Social Science Data Analysis

In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses. The third edition is extended by a detailed chapter on the logic of significance tests. A replication syntax for the statistical program Stata is provided online as supplementary material. The Contents On the task of empirical social research and quantitative data analysis in the sociological research process - On the data situation: own data collections or secondary analyses? - First steps of data analysis: preparation, data description and bivariate correlations - Significance testing - Linear regression - On the logic of data analysis: Which evaluation strategy fits best to my research question? - Logistic regressions - An outlook on advanced statistical analysis methods The target group

· Students and teachers of sociology and other social sciences · Practitioners in the field of empirical market, opinion, and social research

The Authors Dr. Florian G. Hartmann is a Senior Scientist at the Paris Lodron University of Salzburg (Department of Psychology). Dr. Johannes Kopp is Professor of Sociology at the University of Trier. Dr. Daniel Lois holds the professorship for Social Science Methodology at the Universität der Bundeswehr München.

The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.