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Interpreting Quantitative Data with IBM SPSS Statistics is a well-produced book which is clearly written in a reader-friendly style. The topics progress logically and are clearly explained. Unlike many books for the student quantitative researcher the author spends time not only on the interpretation of the data but also on the skill of presenting the findings in report form, both formally and informally. This is an essential skill that is often not taught with potentially disastrous results when the student comes to present his/her dissertation.
The book Interpreting Quantitative Data with IBM SPSS Statistics, by Prof. Rachad Antonius, is highly relevant for the students starting to use SPSS, as no prior knowledge of the SPSS is required, but also for the ones who want to brush up their skills and knowledge... The book has a pedagogic character. It is addressed to both an instructor and a student.
Interpreting Quantitative Data is an excellent introductory text, which clearly and competently integrates statistics, research methodology, and the use of SPSS. The text covers all aspects of the research process and effectively empowers students conducting quantitative research.Neil DagnalFaculty of Health, Psychology and Social Care, Manchester Metropolitan University
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.
SPSS explanations were useful
This book is an absolute must for all undergraduate students getting to grips with the nuanced process of data analysis in social research.
Seems like a good textbook but doesn't include all methods covered in the intended course; i.e. mixed ANOVA, multiple regression, basic factor analysis.
Its a good book useful for all social research.
Recommended for PhD students and colleagues unsure about undertaking statistical research using SPSS. Helpfully 'walks you through' the process of statistical analysis. A very helpful book.
Very helpful information particularly for those new to research.
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 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.
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.
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.
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