Quantitative Data Analysis with SPSS Release 10 for Windows
A Guide for Social Scientists
Routledge – 2001 – 320 pages
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:
* 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
… 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
Data Analysis and the Research Process. Analysing Data with Computers: First Steps with SPSS 10 for Windows. Analysing Data with Computers: Further Steps with SPSS 10 for Windows. Concepts and their Measurement. Summarising Data. Sampling and Statistical Significance. Bivariate Analysis: Exploring Differences between Scores on Two Variables. Bivariate Analysis: Exploring Relationships between Two Variables. Multivariate Analysis: Exploring Differences among Three or More Variables. Multivariate Analysis: Exploring Relationships among Three or More Variables. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises.
Alan Bryman and Duncan Cramer both teach at Loughborough University and have written several books on statistical analysis with both SPSS and Minitab.