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.

Related link: Free Email Alerting

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
* biopsychosocial and evolutionary origins of body shame
* effects on adjustments of 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.

Related link: Free Email Alerting

Watch Andy talk about the new version of his book for R: click here Hot on the heels of the award-winning and best selling Discovering Statistics Using SPSS Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-depreciating 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 the freeware R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioral sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next the importance of exploring and graphing data will be discovered, before moving onto statistical tests that are the foundations of the rest of the book (for e.g. correlation and regression). Readers will then stride confidently into intermediate level analyses such as ANOVA, before ending their journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help the reader gain the necessary conceptual understanding of what they're doing, the emphasis is on applying what's learned to playful and real-world examples that should make the experience more fun than expected. 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, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more (at www.sagepub.co.uk/fieldandmilesR). Given this book's accessibility, fun spirit, and use of bizarre real-w

Though psychology as a discipline has grown enormously in popularity in recent years, compulsory courses in research methods and statistics are seldom embarked upon with any great enthusiasm within the undergraduate and postgraduate communities. Many postgraduate and PhD students start their research ill-equipped to design effective experiments and to properly analyse their results. This lack of knowledge also limits their ability to critically assess and evaluate research done by others.
This book is a practical guide to carrying out research in health psychology and clinical psychology. It bridges the gap between undergraduate and postgraduate study. As well as describing the various techniques and methods available to students, it provides them with a proper understanding of what a specific technique does - going beyond the introductory descriptions typical of most undergraduate methods books. The book describes both quantitative and qualititative approaches to data collection, providing valuable advice on methods ranging from psychometric testing to discourse analysis. For both undergraduate and postgraduate students, the book will be essential in making them aware of the full range of techniques available, helping them to design scientifically rigorous experiments, and effectively analyse their results.

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.

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.

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

`There are few people who can write about research methods in a lively and engaging way, but Miles and Banyard are amongst them. As well as being an exceptionally clear introduction to research methods, it is full of amusing asides and anecdotes that make you want to read more. A hugely enjoyable book' - Dr Andy Field, University of Sussex 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.