Exploring Data - Catherine Marsh

. .

Auteur(s) : Catherine Marsh - Jane Elliott

Editeur : John Wiley & Sons

Langue : Anglais

Parution : 01/12/2008

Format : Moyen, de 350g à 1kg

Nombre de pages : 305

Expédition : 597

Dimensions : 24.7 x 17.2 x 2.5

ISBN : 0745622836

Résumé :

List of Figures

Acknowledgements

Introductio

Part I: Single Variables

1. Distribution Variables

2. Numerical Summaries of Level and Spread

3. Scaling and Standardising

4. Inequality

5. Smoothing Time Series

Part II: Relationships between Two Variables

6. Percentage Tables

7. Analysing Contingency Tables

8. Handling Several Batches

9. Scatterplots and Resistant Lines

10. Transformations

Part III: Introducing a Third Variable

11. Causal Explanations

12. Three-Variable Contingency Tables and Beyond

13. Longitudinal Data

Footnotes

References

...

Biographie:
..

Sommaire:

Exploring Data: An Introduction to Data Analysis for Social Scientists, 2nd Edition

The updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in later chapters to simple strategies for examining the associations between variables using inferential statistics such as chi squared. The book has been substantially revised to include the most recent approaches to data analysis, and includes step-by-step instructions on using SPSS. All these techniques are illustrated with intriguing real examples, drawn from important social research over the past three decades, designed to illuminate significant sociological and political debates.

The book shows how students can use quantitative data to answer various questions:

• Is it true that the rich are getting richer and the poor are getting poorer?
• Are crime rates really going down, and how can we tell?
• How much alcohol do men and women really drink in an average week?
• Which country in Europe has the highest average working hours?

Readers are encouraged to explore data for themselves, and are carefully guided through the opportunities and pitfalls of using statistical packages, as well as the numerous data sources readily available online.

Suitable for those with no previous experience of quantitative data analysis, the second edition of Exploring Data will be invaluable to students across the social sciences.