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

by Bryman,Alan

• ISBN13: 9780415244008
• ISBN10: 0415244005
• Edition: 1st
• Format: Nonspecific Binding
• Copyright: 2001-03-16
• Publisher: Routledge

Summary

The 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 software package. They assume no previous familiarity with either statistics or computing, but take readers step-by-step through techniques, including: Univariate analysis (frequency tables, measures of central tendency and dispersion, histograms, etc.); Bivariate analysis (contingency tables, correlation, simple regression, analysis of variance, nonparametric tests); Multivariate analysis (multiple regression, path analysis, multivariate analysis of variance and covariance, factor analysis); Quantitative Data Analysis with SPSS Release 10 for Windowsalso includes a comprehensive range of exercises for further practice and cover issues such as sampling, statisticalsignificance, conceptualization and measurement, and the selection of appropriate tests. Questions posed at the end of each chapter allow students to reflect upon what they have learned.

Author Biography

Alan Bryman teaches at Loughborough University.

Table of Contents

List of figures	ix
List of boxes	xi
List of tables	xv
Preface	xxi
Data analysis and the research process	1	(14)
Analysing data with computers: first steps with SPSS 10 for Windows	15	(24)
Analysing data with computers: further steps with SPSS 10 for Windows	39	(15)
Concepts and their measurement	54	(15)
Summarising data	69	(27)
Sampling and statistical significance	96	(17)
Bivariate analysis: exploring differences between scores on two variables	113	(45)
Bivariate analysis: exploring relationships between two variables	158	(39)
Multivariate analysis: exploring differences among three or more variables	197	(31)
Multivariate analysis: exploring relationships among three or more variables	228	(33)
Aggregating variables: exploratory factor analysis	261	(14)
Answers to exercises	275	(10)
Bibliography	285	(3)
Index	288