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Synopsis
The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics 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 IBM SPSS Statistics can be used as a tool to aid analysis.
Key Features of the Second Edition:
- New chapters on ANOVA Factor Analysis and General Multilinear Model
- IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice
- Sets of exercises and ‘real-life’ examples to aid teaching and learning
- Lists of key terms and further reading to enhance students’ understanding
- An improved text design making the book easier to navigate
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About the Author
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.
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Interpreting Quantitative Data with IBM SPSS Statistics
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