Discovering Statistics Using IBM SPSS Statistics

About the Book

With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.

What's brand new:

• A radical new design with original illustrations and even more colour
• A maths diagnostic tool to help students establish what areas they need to revise and improve on.
• A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
• New sections on replication, open science and Bayesian thinking
• Now fully up to date with latest versions of IBM SPSS Statistics (c).

All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.

Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics.

Table of Contents:
Chapter 1: Why is my evil lecturer forcing me to learn statistics? What the hell am I doing here? I don’t belong here The research process Initial observation: finding something that needs explaining Generating and testing theories and hypotheses Collecting data: measurement Collecting data: research design Reporting Data Chapter 2: The SPINE of statistics What is the SPINE of statistics? Statistical models Populations and Samples P is for parameters E is for Estimating parameters S is for standard error I is for (confidence) Interval N is for Null hypothesis significance testing, NHST Reporting significance tests Chapter 3: The phoenix of statistics Problems with NHST NHST as part of wider problems with science A phoenix from the EMBERS Sense, and how to use it Preregistering research and open science Effect sizes Bayesian approaches Reporting effect sizes and Bayes factors Chapter 4: The IBM SPSS Statistics environment Versions of IBM SPSS Statistics Windows, MacOS and Linux Getting started The Data Editor Entering data into IBM SPSS Statistics Importing Data The SPSS Viewer Exporting SPSS Output The Syntax Editor Saving files Opening files Extending IBM SPSS Statistics Chapter 5: Exploring data with graphs 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 Chapter 6: The beast of bias What is bias? Outliers Overview of assumptions Additivity and Linearity Normally distributed something or other Homoscedasticity/Homogeneity of Variance Independence Spotting outliers Spotting normality Spotting linearity and heteroscedasticity/heterogeneity of variance Reducing Bias Chapter 7: Non-parametric models When to use non-parametric tests General procedure of non-parametric tests in SPSS Comparing two independent conditions: the Wilcoxon 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 Chapter 8: Correlation Modelling relationships Data entry for correlation analysis Bivariate correlation Partial and semi-partial correlation Comparing correlations Calculating the effect size How to report correlation coefficents Chapter 9: The Linear Model (Regression) An Introduction to the linear model (regression) Bias in linear models? Generalizing the model Sample size in regression Fitting linear models: the general procedure Using SPSS Statistics to fit a linear model with one predictor Interpreting a linear model with one predictor The linear model with two of more predictors (multiple regression) Using SPSS Statistics to fit a linear model with several predictors Interpreting a linear model with several predictors Robust regression Bayesian regression Reporting linear models Chapter 10: Comparing two means Looking at differences An example: are invisible people mischievous? Categorical predictors in the linear model The t-test Assumptions of the t-test Comparing two means: general procedure Comparing two independent means using SPSS Statistics Comparing two related means using SPSS Statistics Reporting comparisons between two means Between groups or repeated measures? Chapter 11: Moderation, mediation and multicategory predictors The PROCESS tool Moderation: Interactions in the linear model Mediation Categorical predictors in regression Chapter 12: GLM 1: Comparing several independent means Using a linear model to compare several means Assumptions when comparing means Planned contrasts (contrast coding) Post hoc procedures Comparing several means using SPSS Statistics Output from one-way independent ANOVA Robust comparisons of several means Bayesian comparison of several means Calculating the effect size Reporting results from one-way independent ANOVA Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) What is ANCOVA? ANCOVA and the general linear model Assumptions and issues in ANCOVA Conducting ANCOVA using SPSS Statistics Interpreting ANCOVA Testing the assumption of homogeneity of regression slopes Robust ANCOVA Bayesian analysis with covariates Calculating the effect size Reporting results Chapter 14: GLM 3: Factorial designs Factorial designs Independent factorial designs and the linear model Model assumptions in factorial designs Factorial designs using SPSS Statistics Output from factorial designs Interpreting interaction graphs Robust models of factorial designs Bayesian models of factorial designs Calculating effect sizes Reporting the results of two-way ANOVA Chapter 15: GLM 4: Repeated-measures designs Introduction to repeated-measures designs A grubby example Repeated-measures and the linear model The ANOVA approach to repeated-measures designs The F-statistic for repeated-measures designs Assumptions in repeated-measures designs One-way repeated-measures designs using SPSS Output for one-way repeated-measures designs Robust tests of one-way repeated-measures designs Effect sizes for one-way repeated-measures designs Reporting one-way repeated-measures designs A boozy example: a factorial repeated-measures design Factorial repeated-measures designs using SPSS Statistics Interpreting factorial repeated-measures designs Effect Sizes for factorial repeated-measures designs Reporting the results from factorial repeated-measures designs Chapter 16: GLM 5: Mixed designs Mixed designs Assumptions in mixed designs A speed dating example Mixed designs using SPSS Statistics Output for mixed factorial designs Calculating effect sizes Reporting the results of mixed designs Chapter 17: Multivariate analysis of variance (MANOVA) Introducing MANOVA Introducing matrices The theory behind MANOVA MANOVA using SPSS Statistics Interpreting MANOVA Reporting results from MANOVA Following up MANOVA with discriminant analysis Interpreting discriminant analysis Reporting results from discriminant analysis The final interpretation Chapter 18: Exploratory factor analysis When to use factor analysis Factors and Components Discovering factors An anxious example Factor analysis using SPSS statistics Interpreting factor analysis How to report factor analysis Reliability analysis Reliability analysis using SPSS Statistics Interpreting Reliability analysis How to report reliability analysis Chapter 19: Categorical outcomes: chi-square and loglinear analysis Analysing categorical data Associations between two categorical variables Associations between several categorical variables: loglinear analysis Assumptions when analysing categorical data General procedure for analysing categorical outcomes Doing chi-square using SPSS Statistics Interpreting the chi-square test Loglinear analysis using SPSS Statistics Interpreting loglinear analysis Reporting the results of loglinear analysis Chapter 20: Categorical outcomes: logistic regression What is logistic regression? Theory of logistic regression Sources of bias and common problems Binary logistic regression Interpreting logistic regression Reporting logistic regression Testing assumptions: another example Predicting several categories: multinomial logistic regression Chapter 21: Multilevel linear models Hierarchical data Theory of multilevel linear models The multilevel model Some practical issues Multilevel modelling using SPSS Statistics Growth models How to report a multilevel model A message from the octopus of inescapable despair Chapter 22: Epilogue

About the Author :
Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics. He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials. His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010). He′s done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you′ve ever heard of him it′ll be as the ′Stats book guy′. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.

Review :

 This book turned my hatred of stats and SPSS into love. 

I love it! It′s the first text I′ve come across that has been written in such a captivating way. There′s humor, tons of information, and awesome resources both within and on the companion website. Kudos to Prof. Field! I also appreciate how the author made the text interesting to read, but the content is rich enough to provide readers good knowledge on how to draw insights from stats and data. Also, it provides a lot of practical guides for reporting results and findings for research paper. Can′t wait to take a deeper dive into the text

I never thought I would find a statistics textbook amusing but somehow our text pulls it off. I also appreciated the online supplementary tools provided by the publisher. They provide a good synthesis of each of the chapters and some easy options to review

I really really love the book, it′s the main reason why I′m not curled up in bed with my cats sobbing in fear at the moment. Speaking of cats, I gotta say the correcting cat/misconception mutt framing is very cute, and it almost broke my heart finding out the origin of that orange spiritual feline. I′m having a blast reading about stats, who would′ve thunk it?

I am enjoying the book, which I would never have imagined! I am not afraid of statistics anymore.

Field′s textbook provides an ideal amount of theoretical detail and clearcut examples for undergraduates, who can progressively expand their "hands on" data analysis skills with SPSS." It is a great book for MSc as well as PhD students to use as a guideline for their dissertation Professor Field just nailed it once again. The fifth edition of the classic Discovering Statistics Using IBM SPSS Statistics is one of the best textbooks out on the market. Excellent and clear introduction to statistics for those students with some familiarity with SPSS. Will be very useful for those students who undertake quantitative studies as part of their master′s work. This is a great book for learners with minimal previous experience in statistics. The examples and case studies provided throughout the book are very effective and learners will find them memorable. Easy to use, practical and a must have for anyone serious about learning to analyse their data using SPSS. Our library cannot integrate the software with your system for this text. Very detailed - so works as a reference book.
I have added it to my recommended reading list.
Very student friendly, provides a solid understanding of the various analytical techniques used in their respective methodologies. Essential text for all students who use SPSS...at UG and PG level This book is as yet not received by me. I would appreciate it if you could send it again. A valuable resource for all students using SPSS in their coursework. I absolutely love this book and the way it teaches stats. The new edition is a further improvement. Great book. It is very easy to understand with Andy Field who give you everything you would learn SPSS A very good textbook which arouses the interest of readers and includes a large range of resources which actively engage them in the learning process. Very complete title and most of the chapters are going to be part of the topics covered in class Very need explanations of the statistical concepts and models. All topics relevant to introductory courses included. Examples and interpretation straightforward. Notes on how to write it all up very helpful. Lively descriptions, creative examples Any Field′s book is an amazingly written, very accessible introduction to statistics using SPSS. Many students, who said they did not like statistics, have successfully used this book to help them do their own analyses in SPSS and complete assignments. This is a must-have on my reading list. excellent new edition A good book with well structured content, helpful explanations and summaries. Fairly comprehensive reference book for anyone working in the statistics
This is an excellent book that makes learning statistics much less intimidating and a lot more fun. The jokes are not forced and almost feels like the author is speaking to the reader. This is unlike any other regular statistics book, excellent! I recommend it to all students who are conducting quantitative research. Student using SPSS for their research results and findings will find this text a lifeline. It gives clear and concise direction and separates each section into subsections which explain everything down to the last detail. An excellent text and I will be recommending to my students. Currently one of the best on the market. A must for all statistics courses.
One of the few textbooks a student can buy at the start of their undergraduate studies that will support them all the way through to graduation and beyond.
Worth the money and the weight on the bookshelf! Never received inspection copy. Andy Field′s "Discovering Statistics" is the go-to series for students (and instructors) seeking a comprehensive and accessible statistics text. His humorous take on statistical topics is especially welcome and engaging for students." A previous edition of this text is currently used as part of the course I support on our reading list, but will recommended this be updated. This new edition by Andy Field is a brilliant, providing updated and better organised materials and few new chapters. A previous edition of this text is currently used as part of the course reading list, but will be recommending that this be updated. Andy Field has done it again and brought together a brilliant update with practical resources and materials, with the edition of more of his own brand of unique humour. An extremely detailed publication that provides everything you need and more on SPSS, a worthwhile reference book Andy Field makes statistics easy to understand, some great application to everyday situations This is a very good resource for students and teaching This inventive textbook is humorously and well written and has an excellent didactic concept. It takes the reader step-by-step through the realms of SPSS and its applications. Great for everybody who is still working with SPSS. Answers a lot of questions and is very informative and well written! An essential reference for research at Dissertation stage A great new edition of a firm favourite which helps bring a challenging topic to life in an entertaining and accessible way, I would thoroughly recommend this to undergraduate students for whom the word ′statistics′ sends a shiver down the spine - guaranteed to help them conquer their fear! This book is a wonderful resource to help students with analysis using the spss software An excellent textbook that makes learning statistics fun and engaging. A must-have for any students. The book explains all the types of statistical tests that bachelor students in political science need for their thesis research in a straightforward manner. It takes a hands-on approach to work with statistical software and explains in detail all the steps necessary to run an analysis and interpret the results. I decided to assign this book to my course because I am confident that students will get all the information they need for their research projects from this volume without having to buy several methods books. These books keep getting better and better with every edition. The main improvement in the fifth edition is the links with R. You need to tolerate the particular style of humour and the slightly gothicy "decorations" but it is worth it for the comprehensive instructions for both stats and SPSS. These books are useful for our doctoral students who are doing quantitative projects as they cover quite a wide range of stats techniques in one book (eg mediation) and give a foundation for moving to more advanced texts where necessary." I recommend this book not only for my market research course, but also for students who write their master′s and bachelor′s theses with me.
The reason for my explicit recommendation is that the author explains the basics of statistics using very vivid examples. The structure of the book contributes to a better understanding. For individual questions, it is possible to read the chapters independently of each other, which makes the book a perfect encyclopedia. It is great that the applications and syntax in SPSS are also explained transparently. The book contains the most current knowledge of the statistical methods, which is essential for my Master′s degree students. I have used previous editions of this book and it has been very accessible to students. I write this review full of jealousy: I wish I could write and teach like Andy Field. We are using "Discovering Statistics" in stats courses, and both the reactions from students and teaching staff are overwhelmingly positive. Being no statistician, Andy manages to offer a low-threshold and low-threat approach to statistics that many other textbooks (written by ′real′ statisticians) fail to realise. Inane examples and a solid background in NWOBHM surely help. The only downside of the book is that when I read it, I realise what an excellent teacher Andy is (and I am not). Great, very good and very understandable and all important aspects are taken into account, e.g. interaction effects! Excellent!