Social Science Data Analysis
An Introduction
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Beschreibung
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.
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
Autor*in
Florian G. Hartmann
Themen in »Social Science Data Analysis«
Sociological Quantitative Methods Digital Sociology Quantitative methods Data preparation Factor analysis Scaling Regression Statistics