Discovering Statistics Using IBM SPSS Statistics / Edition 4

by Andy Field

Overview

Unrivaled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. It also incorporates powerful new digital developments on the textbook's companion website.

Product Details

ISBN-13:	9781446249185
Publisher:	SAGE Publications
Publication date:	01/24/2013
Edition description:	Fourth Edition
Pages:	915
Product dimensions:	10.20(w) x 7.70(h) x 1.40(d)

About the Author

Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 70 research papers, 27 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, 2001; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats, and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoë and Fuzzy the cat.

Table of Contents

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 Regrassion 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

Editorial Reviews

I think this is a really good starting point for teaching stats – from assuming students knows nothing about and taking them gradually to a more advanced understanding. The book is – very helpfully- full of interesting examples and engaging style of writing. I like it that the book has several ‘levels of difficulty’ and engages both with practical stats and theory. The book I believe is targeted at UG students mainly, but some chapters can be recommended to MA students on research methods courses provided that they know nothing about statistics – the book is written in a very accessible manner which means that it can satisfy the need of international students in terms of level of difficulty and language (and business programmes normally have a lot of international students at MA level). The explanations are logically organized and explained in a lucid and clear manner. Little features like ‘faces’ I believe would make the book more attractive to UG students. I think self-test questions and the tasks at the end of chapter are very helpful, as well as the real world data and (often humorous) examples. My course is MA so I am not adopting this book for a course as a main text, but I may recommend it to students who are completely unfamiliar with statistics.

Maria Karepova

Andy Field has done it again. The fourth edition of Discovering Statistics will transform students who approach statistics with fear and loathing into adroit statistics users who understand key statistical concepts. Field’s book is a practical ‘how to’ guide for conducting and understanding basic and advanced statistical analyses using IBM SPSS Statistics. The book is geared toward behavioural and social sciences researchers at all levels – from undergraduates taking their very first statistics course, to postgraduates.

Psychology Learning and Teaching - JoNell Strough

Andy Field has done it again. The fourth edition of Discovering Statistics will transform students who approach statistics with fear and loathing into adroit statistics users who understand key statistical concepts. Field’s book is a practical ‘how to’ guide for conducting and understanding basic and advanced statistical analyses using IBM SPSS Statistics. The book is geared toward behavioural and social sciences researchers at all levels – from undergraduates taking their very first statistics course, to postgraduates.

Psychology Learning and Teaching - Jo Nell Strough

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

Language Teacher & Psychology Ph D student Lineke

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

Sharmina August

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

Harvard University - Rickelle Mathis

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?

Joao Matos Amara Da Silveria

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!

Raymond Grogan

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

Harvard University - Hsing-Chi Hwang