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
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.
It is very student-friendly. The figures are very helpful and provide additional support. SPSS tutorials are very well presented. ANOVA chapter is one of the clearest ANOVA chapters ever written.
Excellent explanation with relevant examples to understand and practically use effectively SPSS
This is a good book when teaching Business Statistics using SPPS
Although Interpreting Quantitative Data is an excellent introduction to statistics and data analyisis I still prefer Andy Field's Discovering Statistics Using SPSS.
A great book and key resource for undergraduates and post graduates who are undertaking quantitative research. Well laid out and clear.
An excellent text providing clear feedback and instruction on all apsects of the SPSS programme. The key aspect is that the tables and figures are taken directly from SPSS output which makes the data and interpretation and visual representation very real.
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
