Social Science Data Analysis

Sociology as an empirical science of experience deals with the description of the social world and the verification of theoretical mechanisms with the help of statistical procedures. Anyone who wants to understand this work, but also to discuss it critically, must have a minimum understanding of the procedures of social science data analysis. The focus of this book is to attempt to provide the appropriate basic statistical knowledge for the reader's own analyses. In addition, readers should be given the tools to critically reflect on existing analyses and, if necessary, to critique them in a well-founded manner.

The introduction to social science data analysis Comprehensive and precise Completely revised new edition with additional chapter on significance testing

Autorentext

Dr. Florian G. Hartmann is a research associate at the Chair of Social Science Methodology at the University of the Federal Armed Forces in Munich.

Dr. Johannes Kopp is Professor of Sociology at the University of Trier.

Dr. Daniel Lois holds the professorship for Social Science Methodology at the University of the Federal Armed Forces Munich.

Inhalt

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 test.- Linear regressions.- On the logic of data analysis: Which evaluation strategy best fits my research question?.- Logistic regressions.- An outlook on advanced statistical analysis methods.