Daniel B. Wright – författare

The book is divided into four sections. Part One explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. In Part Two the two t-tests are described in detail. This serves as a foundation for the rest of the book and develops skills that are called upon in later chapters. Part Three outlines the three main families of statistical tests - regression, analysis of variance, and two-variable tests. Finally, Part Four offers a guide to more advanced techniques.

The book is divided into four sections. Part One explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. In Part Two the two t-tests are described in detail. This serves as a foundation for the rest of the book and develops skills that are called upon in later chapters. Part Three outlines the three main families of statistical tests - regression, analysis of variance, and two-variable tests. Finally, Part Four offers a guide to more advanced techniques.

'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - Professor Jon May, University of Plymouth

'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' - Nick Allum, University of Essex

Selected as an Outstanding Academic Title by Choice Magazine, January 2010

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey.

The rationale and procedure for analyzing data are presented through exciting examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics. In addition to descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help students confidently progress through their studies and apply the techniques in lab work, reports and research projects.

Key features of this new edition:

- the reoganization of the first three chapters giving more attention to univariate statistics and providing more examples to work through at this level

- more advanced 'second step' content has been added on factorial ANOVA and multiple regression

- the robust methods chapter from the first edition is now spread throughout the book, and is linked with common teaching practices.

- many more examples have been added to enhance the book's practical potential.

- a host of exercises as well as further reading sections at the end of every chapter.

An accompanying Web page includes information for each chapter using the statistical packages SPSS and R.

'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - Professor Jon May, University of Plymouth

'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' - Nick Allum, University of Essex

Selected as an Outstanding Academic Title by Choice Magazine, January 2010

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey.

The rationale and procedure for analyzing data are presented through exciting examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics. In addition to descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help students confidently progress through their studies and apply the techniques in lab work, reports and research projects.

Key features of this new edition:

- the reoganization of the first three chapters giving more attention to univariate statistics and providing more examples to work through at this level

- more advanced 'second step' content has been added on factorial ANOVA and multiple regression

- the robust methods chapter from the first edition is now spread throughout the book, and is linked with common teaching practices.

- many more examples have been added to enhance the book's practical potential.

- a host of exercises as well as further reading sections at the end of every chapter.

An accompanying Web page includes information for each chapter using the statistical packages SPSS and R.

The world of Research Methods is always changing and becoming ever more complex. Now completely up to date with the latest innovations, this book engages with recent controversies to give you the best start with your research.

In each chapter you will find:

·         Key concept boxes to help you stay on track and focus on what’s most important

·         Real life examples which make the theory easier to understand

·         Exercises to check you’ve understood the chapter

·         Questions to help you develop your critical thinking.

Also available online are:

·         Multiple choice questions to test your understanding

·         Datasets to allow you to practice your skills

·         A flashcard glossary to help with revision.

Offering a complete package to anyone taking a research methods course as part of their degree.

The world of Research Methods is always changing and becoming ever more complex. Now completely up to date with the latest innovations, this book engages with recent controversies to give you the best start with your research.

In each chapter you will find:

·         Key concept boxes to help you stay on track and focus on what’s most important

·         Real life examples which make the theory easier to understand

·         Exercises to check you’ve understood the chapter

·         Questions to help you develop your critical thinking.

Also available online are:

·         Multiple choice questions to test your understanding

·         Datasets to allow you to practice your skills

·         A flashcard glossary to help with revision.

Offering a complete package to anyone taking a research methods course as part of their degree.

With an emphasis on the practical, this book explains how people react to different sorts of crises, whether they be economic, environmental, health or war, and how we can better support the public, our families, and ourselves in future crises.

The book interrogates how public crises are individualised, thought about, emotionally felt, and also mistrusted, all with a view to helping us understand some of the most difficult times we endure.

Ideal for applied psychology students, public planning authorities and those specialising in crisis management this book will help us all to better understand the time we live in.

Dame Glynis M. Breakwell is Professor Emeritus at the University of Bath in the Department of Psychology and has Visiting Professorships at Imperial College, London and the University of Surrey.

Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas.

With an emphasis on the practical, this book explains how people react to different sorts of crises, whether they be economic, environmental, health or war, and how we can better support the public, our families, and ourselves in future crises.

The book interrogates how public crises are individualised, thought about, emotionally felt, and also mistrusted, all with a view to helping us understand some of the most difficult times we endure.

Ideal for applied psychology students, public planning authorities and those specialising in crisis management this book will help us all to better understand the time we live in.

Dame Glynis M. Breakwell is Professor Emeritus at the University of Bath in the Department of Psychology and has Visiting Professorships at Imperial College, London and the University of Surrey.

Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas.

This textbook throws open the doors to psychological research, revealing how ideas become evidence, and how you do that for yourself.

Grounded in real-world practice, it places ethical responsibility at the heart of psychological research—challenging you to think carefully about your obligations to research participants and to those who depend on research findings.

Each chapter is written by a recognised expert in the methods it explores, ensuring authoritative and practice-informed coverage throughout and clearly organised into preparation, collection and analysis sections.

Contributors include Virginia Braun, Victoria Clarke, Andy Field, and Michiel Spape.

The book is designed to actively support learning, with features that help you consolidate key concepts, sharpen your analytical thinking, and develop strong evaluation skills.

You’ll find learning objectives, exercises, discussion questions, and illustrations of key studies.

For this edition, the book was restructured to make the research process easier to follow, new chapters added to make sure the most common methods all had equal coverage, and that they all were focused on getting across the core knowledge, as easily as possible.

Clear, current, and compelling, this is an essential guide for anyone seeking to understand—and apply—research methods in psychology.

This textbook throws open the doors to psychological research, revealing how ideas become evidence, and how you do that for yourself.

Grounded in real-world practice, it places ethical responsibility at the heart of psychological research—challenging you to think carefully about your obligations to research participants and to those who depend on research findings.

Each chapter is written by a recognised expert in the methods it explores, ensuring authoritative and practice-informed coverage throughout and clearly organised into preparation, collection and analysis sections.

Contributors include Virginia Braun, Victoria Clarke, Andy Field, and Michiel Spape.

The book is designed to actively support learning, with features that help you consolidate key concepts, sharpen your analytical thinking, and develop strong evaluation skills.

You’ll find learning objectives, exercises, discussion questions, and illustrations of key studies.

For this edition, the book was restructured to make the research process easier to follow, new chapters added to make sure the most common methods all had equal coverage, and that they all were focused on getting across the core knowledge, as easily as possible.

Clear, current, and compelling, this is an essential guide for anyone seeking to understand—and apply—research methods in psychology.

Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter.

Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets.

The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.