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Discovering Statistics Using IBM SPSS Statistics
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Discovering Statistics Using IBM SPSS Statistics

Fourth Edition
Additional resources:


February 2013 | 952 pages | SAGE Publications Ltd

Lecturers/instructors - request a free digital inspection copy here

With a little help from his weird band of characters the Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics.

Lecturers: with WebAssign® you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise! 
Ideal for short courses, choose to use WebAssign® alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the  2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign® still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution.

For more information on how to integrate WebAssign® into a forthcoming course or to arrange a class test please contact your local SAGE representative for more details. (Students please note: access to WebAssign® is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor).

SAGE MobileStudy - study where and when you like
Scan any QR code within the book to access revision material on a smartphone or tablet such as Cramming Sam's Study tips, flashcard glossaries, interactive multiple choice questionnaires and more. Click here to take a look (if you're accessing the site from a desktop you'll be taken to the Companion Website instead; look out for the MobileStudy icon to show you which pages are also available on the MobileStudy site).

See how Andy's book is changing the landscape for textbooks through the use of technology!

Support materials for a wide range of disciplines
Education and Sport Sciences lecturer support materials with enhanced ones for Psychology, Business and Management and the Health Sciences on the enhanced Companion Website make the book even more relevant to a wider range of subjects across the social sciences and where statistics is taught to a cross-disciplinary audience.

Other major new updates include:

  • Now fully compatible with recent IBM SPSS Statistics releases.
  • Two new characters! Statistical cult leader Oditi provides students with access to video clips via his Lantern to help further understanding of statistical/SPSS concepts, while Confusius helps students to make better sense of statistical terms.
  • The enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and subject-specific testbanks for lecturers as well as answers to the Smart Alex tasks at the end of the each chapter; datafiles for testing problems in SPSS; flashcards of key concepts; self-assessment multiple-choice questions; and online videos of key statistical and SPSS procedures discussed in the textbook for students.

Video Links


Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

 
Why Is My Evil Lecturer Forcing Me to Learn Statistics?
 
What Will This Chapter Tell Me?
 
What The Hell Am I Doing Here? I Don't Belong Here
 
Initial Observation: Finding Something That Needs Explaining
 
Generating Theories And Testing Them
 
Collect Data to Test Your Theory
 
Analyzing Data
 
Reporting Data
 
Everything You Never Wanted to Know about Statistics
 
What Will This Chapter Tell Me?
 
Building Statistical Models
 
Populations And Samples
 
Statistical Models
 
Going Beyond The Data
 
Using Statistical Models To Test Research Questions
 
Modern Approaches toTheory Testing
 
Reporting Statistical Models
 
The IBM SPSS Statistics Environment
 
What Will This Chapter Tell Me?
 
Versions Of IBM SPSS Statistics
 
Windows versus MacOS
 
Getting Started
 
The Data Editor
 
Importing Data
 
The SPSS Viewer
 
Exporting SPSS Output
 
The Syntax Editor
 
Saving Files
 
Retrieving A File
 
Exploring Data with Graphs
 
What Will This Chapter Tell Me?
 
The Art Of Presenting Data
 
The SPSS Chart Builder
 
Histograms
 
Boxplots (Box-Whisker Diagrams)
 
Graphing Means: Bar Charts And Error Bars
 
Line Charts
 
Graphing Relationships: The Scatterplot
 
Editing Graphs
 
The Best of Bias
 
What Will This Chapter Tell Me?
 
What is Bias?
 
Spotting Bias
 
Reducing Bias
 
Non-parametric Models
 
What Will This Chapter Tell Me?
 
When to Use Non-parametric Tests
 
General Procedure on Non-parametric Tests in SPSS
 
Comparing Teo Independent Conditions: The Wilcox Rank-sum Test and Mann-Whitney Test
 
Comparing Two Related Conditions: the Wilcoxon Signed-rank Test
 
Differences Between Several Independent Groups: The Kruskal-Wallis Test
 
Differences Between Several Related Groups: Friedman's ANOVA
 
Correlation
 
What Will This Chapter Tell Me?
 
Modelling Relationships
 
Data Entry For Correlation Analysis Using SPSS
 
Bivariate Correlation
 
Partial Correlation
 
Comparing Correlations
 
Calculating The Effect Size
 
How To Report Correlation Coefficents
 
Regression
 
What Will This Chapter Tell Me?
 
An Introduction To Regression
 
Bias in Regression Models?
 
Regression Using SPSS: One Predictor
 
Multiple Regression
 
Regression With Several Predictors Using SPSS
 
Interpreting Multiple Regression
 
Comparing Two Means
 
What Will This Chapter Tell Me?
 
Looking at Differences
 
The t-test
 
Assumptions of the t-test
 
The Independent t-test Using SPSS
 
Paired-samples t-test Using SPSS
 
Between Groups or Repeated Measures
 
What is I Violate the Test Assumptions
 
Moderation, Mediation and More Regression
 
What Will This Chapter Tell Me?
 
Installing Custom Dialog Boxes in SPSS
 
Moderation: Interactions in Regression
 
Mediation
 
Categorical Predictors in Regression
 
Comparing Several Means: ANOVA (GLM 1)
 
What Will This Chapter Tell Me?
 
The Theory Behind Anova
 
Assumptions of Anova
 
Planned Contrasts
 
Post hoc Procedures
 
Running One-way Anova in SPSS
 
Output From One-way Anova
 
Calculating the Effect Size
 
Reporting Results From One-way Independent Anova
 
Analysis of Covariance, ANCOVA (GLM 2)
 
What Will This Chapter Tell Me?
 
What Is ANCOVA?
 
Assumptions And Issues In ANCOVA
 
Conducting ANCOVA in SPSS
 
Interpreting the Output From ANCOVA
 
Testing The Assumption Of Homogeneity Of Regression Slopes
 
Calculating The Effect Size
 
Reporting Results
 
Factorial ANOVA (GLM 3)
 
What Will This Chapter Tell Me?
 
Theory Of Factorial ANOVA (Independent Designs)
 
Assumptions of Factorial ANOVA
 
Factorial ANOVA using SPSS
 
Output From Factorial ANOVA
 
Interpreting Interaction Graphs
 
Calculating Effect Sizes
 
Reporting The Results Of Two-Way ANOVA
 
Repeated-Measures Designs (GLM 4)
 
What Will This Chapter Tell Me?
 
Introduction To Repeated Measures Designs
 
Theory Of One-Way Repeated-Measures ANOVA
 
Assumptions in Repeated-Measures ANOVA
 
One-Way Repeated Measures ANOVA Using SPSS
 
Output For One-Way Repeated-Measures ANOVA
 
Effect Sizes For Repeated-Measures ANOVA
 
Reporting One-Way Repeated-Measures ANOVA
 
Factorial Repeated-Measures Designs
 
Output For Factorial Repeated-Measures ANOVA
 
Effect Sizes For Factorial Repeated-Measures ANOVA
 
Reporting The Results From Factorial Repeated-Measures ANOVA
 
Mixed Design ANOVA (GLM 5)
 
What Will This Chapter Tell Me?
 
Mixed Designs
 
Assumptions in Mixed Designs
 
What Do Men And Women Look For In A Partner?
 
Mixed ANOVA in SPSS
 
Output For Mixed Factorial ANOVA
 
Calculating Effect Sizes
 
Reporting The Results Of Mixed ANOVA
 
Multivariate Analysis of Variance (MANOVA)
 
What Will This Chapter Tell Me?
 
When To Use MANOVA
 
Introduction
 
Theory Of MANOVA
 
Practical Issues When Conducting MANOVA
 
MANOVA Using SPSS
 
Output From MANOVA
 
Reporting Results From MANOVA
 
Following Up MANOVA With Discriminant Analysis
 
Output From The Discriminant Analysis
 
Reporting Results From from Discriminant Analysis
 
The Final Interpretation
 
Exploratory Factor Analysis
 
What Will This Chapter Tell Me?
 
When To Use Factor Analysis
 
Factors and Components
 
Discovering Factors
 
Research Example
 
Running The Analysis
 
Interpreting Output From SPSS
 
How To Report Factor Analysis
 
Reliability Analysis
 
How To Report Reliability Analysis
 
Categorical Data
 
What Will This Chapter Tell Me?
 
Analysing Categorical Data
 
Theory Of Analysing Categorical Data
 
Assumptions When Analysing Categorical Data
 
Doing Chi-Square in SPSS
 
Log-Linear Analysis Using SPSS
 
Effect Sizes In Loglinear Analysis
 
Reporting The Results Of Loglinear Analysis
 
Logistic Regression
 
What Will This Chapter Tell Me?
 
Background to Logistic Regression
 
What are the Principles Behind Logistic Regression?
 
Sources of Bias and Common Problems
 
Binary Logistic Regression: An Example That Will Make You Feel Eel
 
Interpreting Logistic Regression
 
How to Report Logistic Regression
 
Testing Assumptions: Another Example
 
Predicting Several Categories: Multinominal Logistic Regression
 
Multilevel Linear Models
 
What Will This Chapter Tell Me?
 
Hierarchical Data
 
Theory Of Multilevel Linear Models
 
The Multilevel Model
 
Some Practical Issues
 
Multilevel Modelling Using SPSS
 
Growth Models
 
How To Report A Multilevel Model
 
A Message From The Octopus of Inescapable Despair
 
Epilogue
 
Nice Emails
 
Everybody Thinks I'm A Statistician
 
Craziness on a Grand Scale

Supplements

Companion Website

The enhanced companion website features, for lecturers:

  • Powerpoints
  • Subject-specific testbanks

And for students:

  • Answers to Smart Alex tasks
  • Datafiles
  • Flashcards
  • Self-assessment multiple-choice questions
  • Online videos of key statistical and SPSS procedures
MobileStudy
Please note: if you're accessing the site from a desktop you'll be taken to the Companion Website instead; look out for the MobileStudy icon to show you which pages are also available on the MobileStudy site

This book cover the adequate range of techniques in a sufficient level of detail and allows variation in the depth with which the students review the materials.

Dr Joost Dessing
School of Psychology, Queen's University Belfast
December 6, 2016

This book makes it easier for students and researchers to understand the many applications of statistics in social science. I found that the content of the book was explained in a straightforward, simple, accessible manner, with some rather amusing 'real-life' examples to illustrate the points being made by the author. Furthermore, the author explains in greater detail what the statistics is, why we use it, what the estimation is and all of this is done by providing a step-by-step approach.

Overall, this book is definitely an essential book that should be adopted by Universities as the contents map perfectly onto essential statistical knowledge most social sciences students need to learn in their first years.

Dr Halley Pontes
Psychology, Nottingham Trent University
December 6, 2016

An excellent and comprehensive overview of statistics and how to use SPSS.

I would highly recommend to any students using quantitative methods. From beginner to more advanced, there is something here for everyone.

Mr David Nelson
School of Health & Social Care, Lincoln University
November 24, 2016

Really great book for students at all levels. I recommend it for my class in experimental psychology (Emiriepraktikum) and students working on their B Sc or M Sc thesis in our group. Unfortunately, our department switched to R lately, so I am afraid that I need to go for a different version.

Professor Joerg D. Jescheniak
Psychology , University of Leipzig
November 23, 2016

Probably this will be replaced with the R version of the textbook, as per the limitations of SPSS. The textbook itself - a masterpiece!

Dr Bruno Schivinski
Nottingham Business School, Nottingham Trent University
November 11, 2016

One of the best statistics book, I`ve read. Andy Filed will help us to discover the broader picture of statistical methods. It also calls attention to statistical terms that mean the same thing. My students like it.

Dr Daniel Herrmann
Accounting , Institut für Erziehungswissenschaft
November 2, 2016

This book is perfect for introducing students to SPSS and is written accessibly which means it can be used for students new to the topic as well as covering more advanced topics. It's the perfect text to support statistics teaching on this module.

Dr Janine Coates
School of Sport & Exercise Sciences, Loughborough University
October 24, 2016

This was a bit too complex for the level of ability of our students on this specific module.

Mrs Susan Smith
School of Business, Mgmt & Economics, Sussex University
October 14, 2016

This book is remarkable for it’s the first statistics (using SPSS) book with a personal note. The author has the ability to write comprehensively. Appropriate to refer to.

Ms Irasianty Frost
Business Administration , Hochschule Fresenius University of Applied Sciences
October 13, 2016

This book introduces students comprehensively to designing and reporting experiments and if you are familiar with scientific research, you can also use it as a reference book. The logic is easy to follow and easy to understand.
Unfortunately there are statements in Chapter 5 Inferential Statistics that puzzle me:
The authors explain that they follow Fisher’s Test of significance. But Fisher considers only one hypothesis to be tested, called the null hypothesis. There’s no alternative hypothesis (experimental hypothesis, Field & Hole, p. 145). Neyman and Pearson (NP) introduce the alternative hypothesis beside the null.
And according to Fisher the cutoff point of 5 per cent (the level of significance) is not the probability of the Type I error (Field & Hole, p. 151). This is again NP’s theory. Fisher considers neither Type I nor Type II error. Fisher explains in his paper “Statistical Methods and Scientific Induction” (1955), why he could not accept NP’s concept of test theory. Finally he states in another paper “The Arrangement of Field Experiments” (1926) that a significant result means “Either there is something in the treatment, or a coincidence has occurred …” There are always two possibilities.

Ms Irasianty Frost
Business Administration , Hochschule Fresenius University of Applied Sciences
October 13, 2016

Sample Materials & Chapters

Chapter 1: Why is my evil lecturer forcing me to learn statistics?


Preview this book

Andy Field

Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 80 research papers, 29 book chapters, and 17 books mostly on child emotional development and statistics. He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods. His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex... More About Author

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