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

✍ Scribed by Alan Bryman, Duncan Cramer

• Publisher: Routledge
• Year: 2002
• Tongue: English
• Leaves: 318
• Edition: Revised
• Category: Library

✦ Synopsis

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 analysisThey 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

✦ Table of Contents

Book Cover......Page 1
Title......Page 4
Contents......Page 5
List of figures......Page 10
List of boxes......Page 12
List of tables......Page 16
Preface......Page 22
Data analysis and the research process......Page 24
Analysing data with computers: first steps with SPSS 10 for Windows......Page 38
Analysing data with computers: further steps with SPSS 10 for Windows......Page 62
Concepts and their measurement......Page 77
Summarising data......Page 92
Sampling and statistical significance......Page 119
Bivariate analysis: exploring differences between scores on two variables......Page 136
Bivariate analysis: exploring relationships between two variables......Page 181
Multivariate analysis: exploring differences among three or more variables......Page 220
Multivariate analysis: exploring relationships among three or more variables......Page 251
Aggregating variables: exploratory factor analysis......Page 284
Answers to exercises......Page 298
Bibliography......Page 308
Index......Page 311