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Social Science Data Analysis: An Introduction

Autor Florian G. Hartmann, Johannes Kopp, Daniel Lois
en Limba Engleză Paperback – 6 mai 2023
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.

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Specificații

ISBN-13: 9783658412296
ISBN-10: 3658412291
Pagini: 191
Ilustrații: V, 191 p. 34 illus. With online files/update.
Dimensiuni: 148 x 210 x 29 mm
Greutate: 0.27 kg
Ediția:1st ed. 2023
Editura: Springer Fachmedien Wiesbaden
Colecția Springer
Locul publicării:Wiesbaden, Germany

Cuprins

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.


Notă biografică

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.

Textul de pe ultima copertă

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.





Caracteristici

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