Exploring Data
An Introduction to Data Analysis for Social Scientists
Catherine Marsh(Author)
Polity Press
Published on 15. September 1988
Book
Hardback
408 pages
978-0-7456-0171-7 (ISBN)
Article exhausted; check for reprint
Description
This book develops a distinctive and novel approach to data analysis, while at the same time providing a basic text accessible to students with no prior knowledge of the subject. The techniques upon which the book is based are not the traditional ones, but are founded upon modes of data analysis which have recently profoundly changed statistical practice among professionals. Exploratory data analysis is a fundamental statistical development, which this book introduces to a general audience. The examples used to illustrate the techniques described are all real ones, drawn from important social research over the past decade, and designed to illuminate interesting and significant sociological and political debates. The sources of the data utilized are described in the appendices, and attention is drawn to some of the deficiencies in the data. The theme is that data are produced, not given. The data sets used will also be available in machine-readable form and the exercise can be done using the statistical package 'Minitab'. The book is suitable for students in a range of social science disciplines, including sociology, economics, political science and geography.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Dimensions
Height: 250 mm
Width: 190 mm
ISBN-13
978-0-7456-0171-7 (9780745601717)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
11/2008
2nd Edition
Polity Press
€77.50
Article not available at the moment
Persons
Content
Part 1: SINGLE VARIABLES ; 1. Distributions and Variables ; 2. Numerical Summaries of Level and Spread ; 3. Scaling and Standardizing ; 4. Price Indices ; 5. Inequality ; Part 2: RELATIONSHIPS BETWEEN TWO VARIABLES ; 6. Handling Several Batches ; 7. Percentage Tables ; 8. Analyzing Contingency Tables ; 9. Smoothing Time Series ; 10. Scatterplots and Resistant Lines ; 11. Transformations ; Part 3: INTRODUCING A THIRD VARIABLE ; 12. Causal Explanations ; 13. Three Variable Contingency Tables ; 14. Standardization ; 15. Median Polishing ; 16. The Datasets.