Discovering Statistics Using IBM SPSS Statistics

About the Book

With 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.

Features:
* Flexible coverage to support students across disciplines and degree programmes
* Can support classroom or lab learning and assessment
* Analysis of real data with opportunities to practice statistical skills
* Highlights common misconceptions and errors
* 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
* Covers the range of 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.

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: Data Visualisation 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 and Mediation 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 Interpreting 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 :
Used a previous version. Great book for both beginners and experienced users in explaining step-by-step how to analyse quantitative data using SPSS. Highly recommend this book. One of the best books on Statistics, easy to understand regardless of level of study, includes basic and more advances statistics. I didn′t receive the book This is a uniquely special textbook with a rare quality where it benefits anyone from absolute beginners to seasoned statisticians. I would recommend this for any university course in which students are introduced to statistics, even if there is no practical component with SPSS in the module. Concepts ranging from the basics to the advanced are covered with thorough yet highly accessible explanations. Compelling and oftentimes hilarious examples and images are used to reinforce core concepts without compromising on academic rigour. I will be recommending this to all of my students. Summarizing:
- The chapters do not follow the usual sequence from simpler to more complex in Statistics textbooks.
- Most chapters dedicate very little to explain how to use SPSS for each type of problem, from the data entry to the interpretation of results.
- The attempt to use colloquial conversation for explanations is more a distraction than a facilitator of understanding.
-The use of some cartoon-like images through the chapters is distracting; it does not add to the comprehension of concepts. It is a great textbook, but it is also too expensive and many of the examples are quite childish. I understand the need to appeal to younger students, still.... Used a previous version, great text.
OLD_Book Product155052_2024-05-01 00:31:11,Dr Clarence Williamson,Review for Designing Qualitative Research and CRJ 601,45413,School of Criminal Justice, Anderson University - Anderson,Very good qualitative research source. Easy to understand and apply information.
OLD_Book Product167105_2024-05-01 00:31:11,Mrs Sarah Newton-Gray,Review for The Academic Skills Handbook and Adult Nursing,45413,School of Care Sciences, University of South Wales (Glamorgan),a clear guide for students new to academia
OLD_Book Product165163_2024-05-01 00:31:11,Dr Brenda DuVerney-Chappell,Review for Social Inequality and Social Stratification,45413,Sociology, Gerontology and Substance Abuse Studies, University Of Central Oklahoma,The book is well written and organized but there were no instructor resources.
OLD_Book Product174235_2024-05-01 00:31:11,Dr Ben Derrick,Review for Discovering Statistics Using IBM SPSS Statistics and Data Science,45414,Department of Mathematics & Statistics, University of The West of England,This is surely the most comprehensive SPSS offering on the market, and it offers delivery in an entertaining way which means that it offers a unique and valuable reading experience that cannot be obtained via new competing methods including AI.

I think this book also ties in well with ′An Adventure in Statistics′ by the same author, which offers a more thorough discussion of the basics, again with the same engaging style, but without the need for any statistics software.

I teach both R and SPSS, for ease of delivery it would be good if both this book and ′Discovering Statistics using R′ were in sync. I guess I am encouraging Andy Field to continue, to publish a new edition of the R book as well!
OLD_Book Product163745_2024-05-01 00:31:11,Dr Sombo Muzata,Review for Politics of the Administrative Process and Introduction to Political Science,45414,Political Science, James Madison University - Harrisonburg,I wanted a book that was recent and had a good mix of theory and practical examples. I also wanted a book with case studies to allow the students to work through real life examples. This updated book offered me that ability.
OLD_Book Product159167_2024-05-01 00:31:11,Mrs Debra Michelle Jackson,Review for Health Promotion for Nursing Associates and Trainee Nursing Associate Apprenticeship,45415,Nursing, Salford University,Comprehensive and complete. Excellent resource for Trainee nursing associates during training and after registration.
OLD_Book Product173926_2024-05-01 00:31:11,Mrs Debra Michelle Jackson,Review for Medicines Management for Nursing Associates and Trainee Nursing Associate Apprenticeship,45415,Nursing, Salford University,Comprehensive and complete. Excellent resource for Trainee nursing associates during training and after registration.
OLD_Book Product167596_2024-05-01 00:31:11,Dr Olga Daneyko,Review for Research Methods and Statistics in Psychology and Research Methods & Statistics in Psychology,45415,Accounting, Sheffield Hallam University,the book is perfectly aligned with the core objectives of our Level 4 research methods module. The book thoroughly covers fundamental concepts such as hypothesis formation, research design, data collection, and statistical analysis. Its comprehensive overview helps bridge the gap between theoretical knowledge and practical application, essential for beginners in research methodology.
OLD_Book Product170241_2024-05-01 00:31:11,Mr Neil Parry,Review for Introduction to Policing and Level 3 Diploma in Criminology, Policing and Law,45415,Higher Education, Darlington College,Well structured, easy to follow, comprehensive resource that is equally important to learners on a Level 3 policing qual or studying the policing degree.
OLD_Book Product175883_2024-05-01 00:31:11,Mrs Julie Sillence,Review for Academic Writing and Grammar for Students and FdSc Animal Welfare Science,45415,Higher Education, North Lindsey College,A very accessible book for students new to HE and academic skills. Easy to use for dipping in and out for content to support study skills lessons.
OLD_Book Product167839_2024-05-01 00:31:11,Mrs Julie Sillence,Review for Proofread Your Essay and FdSc Animal Welfare Science,45415,Higher Education, North Lindsey College,Did not find enough depth to engage the students, a more generalised academic skills book has been adopted instead SPSS step by step procedures. Clear and structured content - key for students wanting to explore statistics using SPSS. Great textbook, very student friendly, highly recommended Outstanding book that walks students, step-by-step, through the process of analysis. Well written and comprehensive handbook, makes statistics approachable. Definitely recommend to my students The book demonstrates statistical analysis in an easy manner for students. Each test is described and the author explains why each test should be conducted For our master’s program, we have decided to adopt *Discovering Statistics Using IBM SPSS Statistics (6th Edition)* as one of the essential textbooks. This book offers comprehensive, in-depth coverage of statistical techniques and demonstrates how to implement them in IBM SPSS. Its clear explanations, step-by-step examples, and engaging writing style make complex methods more accessible to students who are developing their data analysis skills. When paired with our other assigned text, this volume provides a robust foundation for mastering both fundamental and advanced quantitative techniques at the graduate level. Lovely text with illustrations to aid those who are using statistics in their research project. I would recommend this as it is a visually friendly text with plenty of examples. Each chapter begins with "what will this chapter tell me" to give a quick summary of what will be covered. There are also self-tests at the end of each chapter to test knowledge." Best book for biostatistics on a MSc level available. This rework is again a step up, while the level was already so good.
We don′t have a ′mandatory book′ list anymore, otherwise it would be on it. We have it on the reading list with strong references to the chapters within our study manual as well. Great explanations and examples. Easy to follow format. Very good for referencing too. Too difficult language for my students. This book is written nice style that engages the reader. It provides a very comprehensive overview of statistics and practical example of how use test appropriately. Just the best introductory stats text book. Comprehensive and easy to read for non-quantitatively-minded students After many years doing research and teaching on research methods, even if the examples in the book are not just in the field of health sciences, I have finally found a book that contains both theoretical details of statistics along with how to practically perform tests on SPSS. Something that attracted my attention was the use of colourful images and figures and even the colourful text.
This book really recommended to anyone who is going to work with SPSS and also understand why and how to use it. Thanks to the author!