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Interpreting Quantitative Data with IBM SPSS Statistics
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Interpreting Quantitative Data with IBM SPSS Statistics

Second Edition
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November 2012 | 376 pages | SAGE Publications Ltd
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

 
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

 

Supplements

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 Dagnal
Faculty of Health, Psychology and Social Care, Manchester Metropolitan University


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.

I can thoroughly recommend this book both as a set text for an introductory course in quantitative methods in the social sciences and as a text for those who are working alone without the guidance of a tutor. For those of us whose introductory courses are lost in the mists of time this book is an excellent revision aide. I certainly found bits of information that I had long forgotten.

Clive Sims
Methodspace Book Reviews Group

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. An added value of the book compared to some other reference books on SPSS is exactly that in addition to on how to manipulate the SPSS, it also gives guidance on how to use the data in a research project and what to keep in mind. It sees the SPSS as a part of the social research process and therefore focuses in addition to the data production/manipulation also on the analysis and interpretation of quantitative data. And also on the very basics of a research project (e.g. research object and research question, literature review, hypothesis). Therefore the book is recommended already in the very beginning of the designing the research. For the reader who needs additional information, there are in the end of each chapter also suggestions for further reading...In conclusion, the book is certainly a beneficial companion for becoming familiar with SPSS and using the data computed with the SPSS in a research project. As the book is written by assuming a student has no previous experience in SPSS or statistics (p. xxii), the text is simple and easy to follow.

Liia L
Methodspace Book Reviews Group

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.

Mr Sebastin Stevens
Faculty of Social Science and Business, University of Plymouth
April 20, 2015

SPSS explanations were useful

Dr Ipek Ozer Guclu
Education , Bahcesehir University
January 20, 2015

This book is an absolute must for all undergraduate students getting to grips with the nuanced process of data analysis in social research.

Mr Dennis Hamilton
Humanities, Bournville College of Further Education
August 12, 2014

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.

Dr Birgitta Falk
Academy of health and working life, Gavle University
January 14, 2014

Its a good book useful for all social research.

Mr Ibrahim Zubairu
Finance and Economics, Lincoln University
September 27, 2013

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.

Dr David Preece
School of Education, Northampton University
June 25, 2013

Very helpful information particularly for those new to research.

Mrs Vivienne Dacre
Education , Glyndwr University
June 24, 2013

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