Discovering Statistics Using IBM SPSS Statistics

Andy Field - University of Sussex, UK

SAGE Publications Ltd

Format	Published Date	ISBN	Price

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 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

Independent Customer Reviews

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.

JoNell Strough

West Virginia University

Psychology Learning and Teaching

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

University of East London Business School

This is the go-to statistics textbook for novice and experienced health and social care researchers. I recommend to all my students, both undergraduate and postgraduate, and use it frequently for my own research.

Dr Laoise Renwick

Schl of Nursing, Midwifery & Soc Work, Manchester University

May 3, 2018

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Chapters do not provide a section on reporting results in APA format

Dr Bahadir Namdar

Primary Education/ Science Education Program, Recep Tayyip Erdogan University

May 18, 2017

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If you are looking for a statistics book that is entertaining, gives a good insight into psychological science through its examples AND teaches you how to use SPSS, then this book is the best thing to ever happen to you.

I enjoyed it very much. Students have more motivation to actually understand how an analysis works and not let someone else calculate it for them. Furthermore one can just pick a favourite program as the book exists not only for SPSS but also R.

The examples are well done and kept simple enough to understand the main point and only later complexity is added.

DEFINITELY recommended.

Mrs Irina Jarvers

Psychology, Lmu Munich

February 22, 2017

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Contributors:

Andy Field

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.