The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis.
Key features of the second edition include:
- new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression.
- SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice
- sets of exercises and 'real-life' examples to aid teaching and learning
- lists of key terms to aid revision and further reading to enhance students' understanding
- an improved text design making the book easier to navigate
- a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides
Rachad Antonius is a Full Professor of Sociology at the Universite du Quebec at Montreal. Born in Cairo, Egypt, he graduated with a B.Sc. (Hons) in Pure and Applied Mathematics from Cairo University. He completed a M.Sc. degree in Mathematics at the University of Manitoba, then a Ph.D. in Sociology at the Universite du Quebec at Montreal. He teaches quantitative methods and research methodology, and he also specializes in migration studies, and Middle-Eastern studies. He is presently the Deputy-Director of the Research Chair on Immigration, Ethnicity and Citizenship.
PART ONE INTRODUCTION TO QUANTITATIVE METHODS The Basic Language of Statistics The Research Process PART TWO DESCRIPTIVE STATISTICS Univariate Descriptive Statistics Graphical Representations PART THREE METHODOLOGICAL TOOLS Creating New Variables with SPSS Normal Distributions and Sampling Distributions Sampling Designs PART FOUR INFERENTIAL STATISTICS Estimation Hypothesis-Testing PART FIVE Correlation and the Regression Line Two-Way Tables and the Chi-Squared Test t-tests and ANOVA Appendix I: Reporting a Quantitative Analysis Appendix II: How to Create a Data File in SPSS Appendix III: Areas Under the Normal Curve Appendix IV: Table of Random Numbers Glossary