Description

Book Synopsis

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.



Table of 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 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.


Social Science Data Analysis: An Introduction

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    A Paperback / softback by Florian G. Hartmann, Johannes Kopp, Daniel Lois

    £47.49

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      Book details

      Publisher Springer
      Published 6 May 2023
      ISBN-13 9783658412296
      978-3658412296
      ISBN-10 3658412291
      Also in:
      Social research and statistics

      Description

      Book Synopsis

      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.



      Table of 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 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.


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