Quantitative Data Analysis with SPSS Release 10 for Windows: A Guide for Social Scientists

Author:   Alan Bryman ,  Duncan Cramer
Publisher:   Taylor & Francis Ltd
Edition:   Completely Updated ed.
ISBN:  

9780415244008


Pages:   320
Publication Date:   25 January 2001
Format:   Paperback
Availability:   Out of stock   Availability explained


Our Price $112.20 Quantity:  
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Quantitative Data Analysis with SPSS Release 10 for Windows: A Guide for Social Scientists


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Overview

This latest edition of this best-selling textbook has been completely updated to accommodate the needs of users of SPSS Release 10 for Windows. As with previous editions, Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. They assume no previous familiarity with either statistics or computing, but take readers step-by-step through techniques, including: * Correlation * Simple and multiple regression * Multivariate analysis of variance and covariance * Factor analysis They also include a comprehensive range of exercises for further practice and cover issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. For further information or to download the book's datasets, please visit the website: http://www.routledge.com/textbooks/titles/quant10.html

Full Product Details

Author:   Alan Bryman ,  Duncan Cramer
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Edition:   Completely Updated ed.
Dimensions:   Width: 15.60cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.544kg
ISBN:  

9780415244008


ISBN 10:   0415244005
Pages:   320
Publication Date:   25 January 2001
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Out of stock   Availability explained

Table of Contents

Prologue; Born in New Zealand; Touch of Soil and Wind and Rock; To the Delectable Mountains; The Tallest Peak; After the Climb; To the Ice-fields; To the Pole; Scientists and Yetis; Makalu, Goddess of Destruction; Schoolhouse in the Clouds; The Burra Sahib; For Ever to Deplore Her Loss; Nothing Venture, Nothing Win; A New Day in View; Epilogue; Appendix; Acknowledgements; References; Index

Reviews

... provides a step-by-step guide to the main quantitative analyses used by social scientists, and takes the reader from the basics to the more operational level ... the style of the text, the content, and the general user-friendly nature, will make it a very useful companion to students and researchers ... - Tom Hefferenan, University of Northumbria Bryman and Cramer's text has become an essential reference, since it contains more detail than any of the SPSS manuals, and comes with sizeable data sets and relevant sociological and psychological examples to illustrate the concepts it describes. - David Giles, Coventry University


'Bryman and Cramer's text has become an essential reference, since it contains more detail than any of the SPSS manuals, and comes with sizeable data sets and relevant sociological and psychological examples to illustrate the concepts it describes.' - David Giles, Coventry University '... provides a step-by-step guide to the main quantitative analyses used by social scientists, and takes the reader from the basics to the more operational level..... the style of the text, the content, and the general user-friendly nature, will make it a very useful companion to students and researchers...' - Tom Hefferenan. University of Northumbria 'Bryman and Cramer's text has become an essential reference, since it contains more detail than any of the SPSS manuals, and comes with sizeable data sets and relevant sociological and psychological examples to illustrate the concepts it describes.' - David Giles, Coventry University


Author Information

Alan Bryman and Duncan Cramer both teach at Loughborough University and have written several books on statistical analysis with both SPSS and Minitab.

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