Social Science Data Analysis
An Introduction
(Sprache: Englisch)
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.
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Klappentext zu „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.
Inhaltsverzeichnis zu „Social Science Data Analysis “
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 fits best to my research question.- Logistic regressions.- An outlook on advanced statistical analysis methods.Autoren-Porträt von Florian G. Hartmann, Johannes Kopp, Daniel Lois
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.
Bibliographische Angaben
- Autoren: Florian G. Hartmann , Johannes Kopp , Daniel Lois
- 2023, 1st ed. 2023, V, 191 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658412291
- ISBN-13: 9783658412296
Sprache:
Englisch
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