Jeremy Miles – författare

Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test and how to carry out the tests and understand them.

Taking a non-technical approach, it encourages the reader to understand why a particular test is being used and what the results mean in the context of a psychological study, focusing on meaning and understanding rather than mindless numerical calculation.

Key features include:

- A light and accessible style

- Descriptions of the most commonly used statistical tests and the principles that underlie them

- Real world examples to aid the understanding of why statistics are valuable

- Boxes on common errors, tips and quotes

- Test yourself questions

The perfect introductory resource, Understanding and Using Statistics in Psychology will guide any student new to statistics effortlessly through the process of test selection and analysis.

The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.

Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis.

The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with.

Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text.

This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers.

Physical appearance plays a powerful role in social relationships. Those who feel shame regarding the way they look, and who think others view their appearance negatively, can therefore be vulnerable to impoverished social relationships and a range of psychological difficulties. However, there are a few books which look specifically at the many permutations of body shame and their differing treatments.In this book, researchers and therapists from a wide range of different disciplines and areas explore the role of shame in various physical and psychological disorders, and provide practical advice on management and treatment. Chapters are organised to address issues of conceptualisation, assessment and treatment, on topics such as:* definitional controversies* possible biopsychosocial and evolutionary origins of body shame* effects on adjustment to maturation and aging process* specific forms of disfigurement* the role of body shame in depression, eating disorders and body dysmorphic disorder.Body Shame gives the reader insight into the nature and mechanisms of shame, how it can focus on the body, how it can underlie a variety of psychological difficulties, and how to intervene to help resolve it. This book will be invaluable for practitioners from different disciplines working with people who have problems centred on their physical appearance and/or functions, and clinicians working with various mental health problems.

Physical appearance plays a powerful role in social relationships. Those who feel shame regarding the way they look, and who think others view their appearance negatively, can therefore be vulnerable to impoverished social relationships and a range of psychological difficulties. However, there are a few books which look specifically at the many permutations of body shame and their differing treatments.In this book, researchers and therapists from a wide range of different disciplines and areas explore the role of shame in various physical and psychological disorders, and provide practical advice on management and treatment. Chapters are organised to address issues of conceptualisation, assessment and treatment, on topics such as:* definitional controversies* possible biopsychosocial and evolutionary origins of body shame* effects on adjustment to maturation and aging process* specific forms of disfigurement* the role of body shame in depression, eating disorders and body dysmorphic disorder.Body Shame gives the reader insight into the nature and mechanisms of shame, how it can focus on the body, how it can underlie a variety of psychological difficulties, and how to intervene to help resolve it. This book will be invaluable for practitioners from different disciplines working with people who have problems centred on their physical appearance and/or functions, and clinicians working with various mental health problems.

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.

Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis.

The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with.

Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text.

This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers.

Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test and how to carry out the tests and understand them.

Taking a non-technical approach, it encourages the reader to understand why a particular test is being used and what the results mean in the context of a psychological study, focusing on meaning and understanding rather than mindless numerical calculation.

Key features include:

- A light and accessible style

- Descriptions of the most commonly used statistical tests and the principles that underlie them

- Real world examples to aid the understanding of why statistics are valuable

- Boxes on common errors, tips and quotes

- Test yourself questions

The perfect introductory resource, Understanding and Using Statistics in Psychology will guide any student new to statistics effortlessly through the process of test selection and analysis.

The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you′re likely to need to know for your course, all presented in Andy′s accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS®.

A ′cast of characters′ supports the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively, and ′real world′ and invented examples illustrate the concepts and make the techniques come alive.

The book′s companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

URBAN BEEKEEPING 

Have you ever wanted to take care of bees, and enjoy your very own fresh honey?Beekeeping was once reserved only for those that had farms, and were professional beekeepers. Now, everyday people, just like yourself, are beginning to do it in their backyards, suburban areas, and even on rooftops in cities!This new style of beekeeping is known as 'Urban Beekeeping'.Beekeeping can be a fun and rewarding hobby, both emotionally and financially. Many people sell the bi-products of bees for a profit, others just keep products for themselves, and some use them for gifts.Regardless of your motives for beekeeping, this book will provide you with all the knowledge necessary!Urban Beekeeping is fast becoming one of America's biggest hobbies! Get in on the fun beekeeping action with the help of this guide!You will soon learn about different types of bees, how to get started in beekeeping, what equipment you need, and how to care for bees throughout different seasons. 

Here Is A Preview Of What You'll Learn...

The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you're likely to need to know for your course, all presented in Andy's accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS®.

A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively, and 'real world' and invented examples illustrate the concepts and make the techniques come alive.

The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.