There is growing awareness that iron deficiency has a major impact not only on quality of life but also on immune function, oxidative stress defence, energy supply to muscles, and neurological development in infants and children. These findings mean that clinicians need to understand and reevaluate iron therapy. This book considers the latest evidence about iron metabolism, iron status evaluation, and the epidemiology and diagnosis of iron deficiency. The efficacy and safety of a number of preparations are discussed on the basis of the chemical characteristics of iron salts and complexes such as their solubility and reactivity. This book provides a theoretical framework for understanding the bioavailability and toxicology of available treatments. It also provides practical details about recommended therapies such as Venofer® (iron sucrose) and Maltofer® (iron polymaltose complex) which can be used for intravenous and oral administration.
Statistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings. Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples and clear summaries. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1,300 PowerPoint slides for use by tutors and lecturers. Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. Visit the companion website at: www.routledge.com/cw/odonoghue
Will Islam be able to adapt to France's secularity and its strict separation of public and private spheres? Can France accommodate Muslims? In this book, Frank Peter argues that the debate about “Islam” and “Muslims” is not simply caused by ignorance or Islamophobia. Rather, it is an integral part of how secularism is reasoned. Islam and the Governing of Muslims in France shows that understanding religion as separate from other aspects of life, such as politics, economy, and culture, disregards the ways religion has operated and been managed in “secular” societies such as France. This book uncovers the varying rationalities of the secular that have developed over the past few decades in France to “govern Islam,” in order to examine how Muslims engage with the secular regime and contribute to its transformation. This book offers a close analysis of French secularism as it has been debated by Islamic intellectuals and activists from the 1990s until the present. It will influence the study of secularism as well as the study of Islam in the French Republic, and reveal new connections between Islamic traditions and secular rationalities.
Sports performance analysis is an important tool for any serious practitioner in sport and, as a result, performance analysis has become a key component of degree programmes in sport science and sports coaching. This book explains how to undertake a research project in performance analysis of sport, from selecting a research topic, to gathering and analyzing data, to writing up results.
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.
An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website
This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods. Written by the leading experts in the field, this unique book: Presents a unified treatment of Bayesian methods in marketing, with common notation and algorithms for estimating the models. Provides a self-contained introduction to Bayesian methods. Includes case studies drawn from the authors’ recent research to illustrate how Bayesian methods can be extended to apply to many important marketing problems. Is accompanied by an R package, bayesm, which implements all of the models and methods in the book and includes many datasets. In addition the book’s website hosts datasets and R code for the case studies. Bayesian Statistics and Marketing provides a platform for researchers in marketing to analyse their data with state-of-the-art methods and develop new models of consumer behaviour. It provides a unified reference for cutting-edge marketing researchers, as well as an invaluable guide to this growing area for both graduate students and professors, alike.
Islam in Europe' and 'Islamophobia' are subjects of vital global importance which currently preoccupy policy-makers and academics alike. Through the examination of various European Muslim groups and institutions that have branched off from Islamic movements - including the Muslim Brotherhood, Hizb ut-Tahrir and Jama'at-i Islami - this book outlines the configuration of social, political and religious processes that have given rise to new kinds of European Muslim organisations. The authors offer a new perspective on these Muslim groups and seek to reclaim them from the often highly-charged public debates by placing them within the context of their origins as politicised religious movements on the one hand and their ongoing incorporation into European societal structures on the other. They also consider the relationship of these organisations to their 'parent' movements and examine the presence of Islam in European education and higher education institutions. Taking into account the connection between Islamic movements and the perceived surge of 'Islamophobia' in Europe, this book does not debate the question of whether these groups fit into normative or cultural structures of European nation-states, but rather examines how these structures have changed through their interaction with these groups and the growing Muslim population within Europe. It does not consider political Islam as the antithesis to a refined notion of secularism, but as a form of public religion which contributes to the ever-changing structure of Europe's secular regimes. Featuring the work of more than 40 scholars from around the world, this is the comprehensive guide to Islamic movements in Europe, offering original, definitive perspectives on Muslims and Islam in Europe today. It will be essential reading for policy-makers, political commentators and scholars alike.
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy-to-follow screenshots at each stage of the process. A number of other helpful features are provided, including: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter The third edition of this popular book has been fully updated for IBM SPSS version 27 and also includes: a new chapter on how to undertake mediation and moderation with SPSS updates on changes to SPSS, including updated functionality within ANOVAs and calculations of a priori power analysis Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with online support material featuring an array of supplementary resources for students and instructors. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various disciplines, including psychology, social science, business studies, nursing, education, health and sport science, communication and media, geography, and biology. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book.
Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author’s website.
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms. Discusses the role of Markov Chain Monte Carlo methods in computing and estimation. Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences. Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles. Provides exercises designed to help reinforce the reader’s knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: “It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains.” – ISI - Short Book Reviews “This is an excellent introductory book on Bayesian modelling techniques and data analysis” – Biometrics “The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods.” – Journal of Mathematical Psychology
A significant number of Canadian-raised children from post-1970s immigrant families have reached adulthood over the past decade. As a result, the demographics of religious affiliation are changing across Canada. Growing Up Canadian is the first comparative study of religion among young adults of Muslim, Hindu, and Buddhist immigrant families. Contributors consider how relating to religion varies significantly depending on which faith is in question, how men and women have different views on the role of religion in their lives, and how the possibilities of being religiously different are greater in larger urban centres than in surrounding rural communities. Interviews with over two hundred individuals, aged 18 to 26, reveal that few are drawn to militant, politicized religious extremes, how almost all second generation young adults take personal responsibility for their religion, and want to understand the reasons for their beliefs and practices. The first major study of religion among this generation in Canada, Growing Up Canadian is an important contribution to understanding religious diversity and multiculturalism in the twenty-first century. Contributors include Peter Beyer, Kathryn Carrière, Wendy Martin, and Lori Beaman (University of Ottawa), Rubina Ramji (Cape Breton University), Nancy Nason-Clark and Cathy Holtmann (University of New Brunswick), Shandip Saha (Athabasca University), John H. Simpson (University of Toronto), and Marie-Paule Martel-Reny (Concordia University)
The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research. Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs. Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes. * Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data). * Considers missing data models techniques and non-standard models (ZIP and negative binomial). * Evaluates time series and spatio-temporal models for discrete data. * Features discussion of univariate and multivariate techniques. * Provides a set of downloadable worked examples with documented WinBUGS code, available from an ftp site. The author's previous 2 bestselling titles provided a comprehensive introduction to the theory and application of Bayesian models. Bayesian Models for Categorical Data continues to build upon this foundation by developing their application to categorical, or discrete data - one of the most common types of data available. The author's clear and logical approach makes the book accessible to a wide range of students and practitioners, including those dealing with categorical data in medicine, sociology, psychology and epidemiology.
Teacher effectiveness and licensure in the United States continue to be scrutinized at the state and national levels. At present, 40 states plus the District of Columbia have adopted edTPA to inform initial teacher licensure and/or certification decisions (American Association of Colleges for Teacher Education, n.d.). edTPA is designed to measure novice teachers’ readiness to teach their content area, with a focus on student learning and principles from research and theory (SCALE, 2015). Composed of planning, instruction, and assessment tasks, edTPA portfolios seek to provide evidence of teacher candidate readiness in three areas: (1) intended teaching, (2) enacted teaching, and (3) the impact of teaching on student learning. Specifically, edTPA measures teacher candidates’ ability to: • develop knowledge of subject matter, content standards, and subject-specific pedagogy • develop and apply knowledge of varied students’ needs • consider research and theory about how students learn • reflect on and analyze evidence of the effects of instruction on student learning (p. 1) Teacher candidates create extensive portfolios that include written commentaries explaining each task and video excerpts of a recorded teaching event. Teacher candidates must submit evidence to show their teaching prowess and pay $300, at present, to Pearson Education for their portfolio to be evaluated by external reviewers. In this volume, researchers share their experiences working with edTPA in three areas of language learning: English Language Arts, English to Speakers of Other Languages, and World Languages. The volume provides empirical research in the areas of multicultural perspectives, pedagogical practices, and edTPA (in)compatibility. Findings are of interest to multiple stakeholders such as teacher candidates, mentor teachers, teacher preparation faculty members and program coordinators, and administrators.
A vivid, hands-on discussion of the statistical methods in imaging, optics, and photonics applications In the field of imaging science, there is a growing need for students and practitioners to be equipped with the necessary knowledge and tools to carry out quantitative analysis of data. Providing a self-contained approach that is not too heavily statistical in nature, Statistics for Imaging, Optics, and Photonics presents necessary analytical techniques in the context of real examples from various areas within the field, including remote sensing, color science, printing, and astronomy. Bridging the gap between imaging, optics, photonics, and statistical data analysis, the author uniquely concentrates on statistical inference, providing a wide range of relevant methods. Brief introductions to key probabilistic terms are provided at the beginning of the book in order to present the notation used, followed by discussions on multivariate techniques such as: Linear regression models, vector and matrix algebra, and random vectors and matrices Multivariate statistical inference, including inferences about both mean vectors and covariance matrices Principal components analysis Canonical correlation analysis Discrimination and classification analysis for two or more populations and spatial smoothing Cluster analysis, including similarity and dissimilarity measures and hierarchical and nonhierarchical clustering methods Intuitive and geometric understanding of concepts is emphasized, and all examples are relatively simple and include background explanations. Computational results and graphs are presented using the freely available R software, and can be replicated by using a variety of software packages. Throughout the book, problem sets and solutions contain partial numerical results, allowing readers to confirm the accuracy of their approach; and a related website features additional resources including the book's datasets and figures. Statistics for Imaging, Optics, and Photonics is an excellent book for courses on multivariate statistics for imaging science, optics, and photonics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in imaging, optics, and photonics who carry out data analyses in their everyday work.
Clinical Reflexology takes the practitioner on a journey of examination, critical review and debate prior to making recommendations for best practice in reflexology. The phenomenal rise in interest by health professionals in Complementary and Alternative Medicine (CAM), and in particular touch therapies, has led to a need for texts that relate and integrate theory and practice to health care settings. Clinical Reflexology does this, expanding and exploring concepts introduced in the first edition. Many CAM books have been written for therapists working in private practice but many of these practitioners are also now working in healthcare settings. This book allows both groups to facilitate the greater integration of clinical reflexology in clinical practice. The book is divided into two sections. The first deals with key themes, including an up-to-date review of the research evidence and appropriate methodology, safe and supported practice and integration issues. All these themes are explored and discussed utilizing the available literature, analysis of models and concepts and are related specifically to health care practice. The second section focuses on the clinical application of reflexology and how it can be best adapted to the context. The contributors are committed pioneers in their field with a track record of integrating reflexology within clinical settings. Many are teachers, coordinators of therapy services and supervisors. ABOUT THE AUTHORS Dr Peter Mackereth is the Clinical Lead for Complementary Therapies and Smoking Cessation Services at The Christie NHS Foundation Trust Manchester. He is a registered nurse, and has worked in intensive care, neurology and oncology. Peter has an MA in Medical Ethics and has completed a PhD project examining reflexology vs. relaxation training for people with Multiple Sclerosis. An author and renowned speaker, Peter has held academic post in number of universities, most recently as Reader in Integrative Health at the University of Derby. Denise Tiran, a midwife, lecturer and reflex zone therapist, is an internationally acclaimed authority on complementary therapies in pregnancy and childbirth. She is Director of Expectancy, the leading provider of professional education on the safe use of complementary therapies in maternity care, including a special pregnancy course for reflexologists. Her latest book, Reflexology for Pregnancy and Childbirth, was published in January 2010.
Multidimensional Pharmacochemistry: Design of Safer Drugs deals with techniques based on the theory of simultaneous statistical inference and the qualitative rules that can be applied in solving problems of high toxicity. This book points out that the multidimensional view of data analysis can be applied to solve problems in medicinal chemistry. Investigators use different approaches; a certain procedure can prove to be the most beneficial for a specific drug design. This text presents the theoretical assumptions that mathematicians make to derive the basis for their multivariate techniques. This book also describes, in nonmathematical terms, a set of methods that are valuable, as well as explain the different designs by using numerical examples. According to E.J. Ariens, drug action involves the pharmaceutical, pharmacokinetic-toxokinetic, and pharmacodynamics-toxodynamic phases. The multivariate structure-activity analysis (MASCA) Model of Pharmacochemistry is a highly unified multivariate approach to drug design. To develop a multidimensionally oriented pharmacology, the book notes that the investigator can use the "dynamic structure-activity analysis." This entails the experimentalist and chemist using quantitative approaches and intuitive elements from a small number of compounds toward larger groups, with successive changes being inputted in the desired biological activity. This book is strongly recommended for toxicologists, pharmacologists, applied mathematicians, medicinal and agricultural chemists.
Well-considered answers to the many questions raised by the situation in Iraq, past and present, are rare. This first comprehensive, thematically organised, bibliography devoted to Iraq is based on the full Index Islamicus database and is drawn from a wide variety of European-language journals and books. Featuring an extensive introduction to the subject and its literature by Peter Sluglett, this bibliography will help readers to find their way through the massive secondary literature now available. Following the pattern established by the Index Islamicus, both journal articles and book publications are included, as well as important internet resources. The editors have taken care to add much new material to bring its coverage up to date, and supplement the previously published volumes, while the most important and/or influential publications are conveniently highlighted in the introduction. An indispensable gateway for all those with a more than superficial interest in what is, and what has been, happening in this nation so much the focus of attention today.
The second edition of Chronic Pain now covers a vast scientific and clinical arena, with the scientific background and therapeutic options much expanded. In common with the other titles comprising Clinical Pain Management, the volume gathers together the available evidence-based information in a reader-friendly format without unnecessary detail, an
SPSS is enormously powerful and challenging to learn. This popular handbook lets students get hands-on with the statistical procedures they need. Full colour screen shots, step-by-step guidance and examples with annotated outputs help students learn. For students of psychology, marketing and research in any discipline. An essential practical guide to using the latest version of IBM SPSS Statistics. New, print versions of this book come with bonus online study tools on the CourseMate Express platform Learn more about the online tools cengage.com.au/learning-solutions
In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.
With the combined expertise of leading hand surgeons and therapists, Rehabilitation of the Hand and Upper Extremity, 6th Edition, by Drs. Skirven, Osterman, Fedorczyk and Amadio, helps you apply the best practices in the rehabilitation of hand, wrist, elbow, arm and shoulder problems, so you can help your patients achieve the highest level of function possible. This popular, unparalleled text has been updated with 30 new chapters that include the latest information on arthroscopy, imaging, vascular disorders, tendon transfers, fingertip injuries, mobilization techniques, traumatic brachial plexus injuries, and pain management. An expanded editorial team and an even more geographically diverse set of contributors provide you with a fresh, authoritative, and truly global perspective while new full-color images and photos provide unmatched visual guidance. Access the complete contents online at www.expertconsult.com along with streaming video of surgical and rehabilitation techniques, links to Pub Med, and more. Provide the best patient care and optimal outcomes with trusted guidance from this multidisciplinary, comprehensive resource covering the entire upper extremity, now with increased coverage of wrist and elbow problems. Apply the latest treatments, rehabilitation protocols, and expertise of leading surgeons and therapists to help your patients regain maximum movement after traumatic injuries or to improve limited functionality caused by chronic or acquired conditions. Effectively implement the newest techniques detailed in new and updated chapters on a variety of sports-specific and other acquired injuries, and chronic disorders. Keep up with the latest advances in arthroscopy, imaging, vascular disorders, tendon transfers, fingertip injuries, mobilization techniques, traumatic brachial plexus injuries, and pain management See conditions and treatments as they appear in practice thanks to detailed, full-color design, illustrations, and photographs. Access the full contents online with streaming video of surgical and rehabilitation techniques, downloadable patient handouts, links to Pub Med, and regular updates at www.expertconsult.com. Get a fresh perspective from seven new section editors, as well as an even more geographically diverse set of contributors.
The voices of birds have always been a source of fascination. Nature’s Music brings together some of the world’s experts on birdsong, to review the advances that have taken place in our understanding of how and why birds sing, what their songs and calls mean, and how they have evolved. All contributors have strived to speak, not only to fellow experts, but also to the general reader. The result is a book of readable science, richly illustrated with recordings and pictures of the sounds of birds. Bird song is much more than just one behaviour of a single, particular group of organisms. It is a model for the study of a wide variety of animal behaviour systems, ecological, evolutionary and neurobiological. Bird song sits at the intersection of breeding, social and cognitive behaviour and ecology. As such interest in this book will extend far beyond the purely ornithological - to behavioural ecologists psychologists and neurobiologists of all kinds. * The scoop on local dialects in birdsong* How birdsongs are used for fighting and flirting* The writers are all international authorities on their subject
Designed to be used as a primary text in introductory research methods courses, Music Education Research: An Introduction aims to orient even the most novice researchers toward basic concepts and methodologies. Offering sustained attention to historical, philosophical, qualitative, quantitative, and action research approaches, the book includes overviews of how to read, interpret, design, and implement research within each framework. Readers will also find advice for conducting a review of research literature, scholarly writing, and disseminating research. All in all, the book serves as an invitation to consider how conducting research can serve to satisfy curiosities while also contributing to our collective professional knowledge. Drawing from classroom-tested material and the authors' many collective years of experience as instructors of research method courses and mentors to music education graduate students, this book is a must-have resource for masters and doctoral students in search of a thorough and approachable overview of music education research.
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