Quantitative Data Analysis with SPSS Release 8 for Windows: A Guide for Social Scientists

Author:   Alan Bryman ,  Duncan Cramer
Publisher:   Taylor & Francis Ltd
Edition:   Revised edition
ISBN:  

9780415206976


Pages:   320
Publication Date:   20 May 1999
Format:   Paperback
Availability:   Out of stock   Availability explained


Our Price $85.80 Quantity:  
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Quantitative Data Analysis with SPSS Release 8 for Windows: A Guide for Social Scientists


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Overview

The latest edition of this best-selling introduction to Quantitative Data Analysis through the use of a computer package has been completely updated to accommodate the needs of users of SPSS Release 8 for Windows. Like its predecessor, it provides a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. It assumes no previous familiarity with either statistics or computing but takes the reader step-by-step through the techniques, reinforced by exercises for further practice. Techniques explained in Quantitative Data Analysis with SPSS Release 8 for Windows include: * correlation * simple and multiple regression * multivariate analysis of variance and covariance * factor analysis The book also covers issues such as sampling, statistical significance, conceptualization and measurement and the selection of appropriate tests. For further information or to download the book's datasets, please visit the webstite: http://www.routledge.com/textbooks/titles/quant.html

Full Product Details

Author:   Alan Bryman ,  Duncan Cramer
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Edition:   Revised edition
Dimensions:   Width: 15.60cm , Height: 2.00cm , Length: 23.40cm
Weight:   0.612kg
ISBN:  

9780415206976


ISBN 10:   0415206979
Pages:   320
Publication Date:   20 May 1999
Audience:   College/higher education ,  Professional and scholarly ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Out of stock   Availability explained

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