Interpreting Quantitative Data with IBM SPSS Statistics
- Rachad Antonius - University of Quebec in Montreal, Canada
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
We are emphasising triangulated approach to research in our department. This book will provide a hands-on approach to our students who may want to consider quantitative research as a part of their triangulated studies - Dr S.E. Usadolo
I find the book very helpful and it enables my students to have a better understanding of Interpreting Quantitative Data with IBM SPSS Statistics. Many of my students use SPSS for their thesis, and there for this is a very useful handbook.
I think that the SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice, is the most important part for students.
Thank-you for giving me the opportunity to review this most helpful book.
An excellent text for students that are a little rusty on SPSS. This is a very good guide which I will recommend as essential reading.
This book is an absolute must for all undergraduate students getting to grips with the nuanced process of data analysis in social research.
Its a good book useful for all social research.
This is a very good book. Antonius has hit the mark for undergrads and postgrads with enough maths for those keen, budding statisticians but not too much to lose the less stats-oriented student. The descriptions are equally well-pitched.
This is a good book when teaching Business Statistics using SPPS
This is a good practical text that supports the reader through the analysis of quantitate data using SPSS. Great introductory text for students starting out in analysing quantitate data.
This subject area is one that is difficult to grasp if you are new to reserach. The book would be beneficial if you are undertaking quantitative research and will be using statistical anlysis as it will support your underpinning knowledge of the subject. It is a book that you will continuously refer back to.
A great book and key resource for undergraduates and post graduates who are undertaking quantitative research. Well laid out and clear.
