As one of the first texts of its kind, Evidence-Based Practice in Athletic Training contains essential information on the fundamentals of evidence-based practice (EBP) for students who are working toward certification in athletic training and athletic trainers who wish to stay up to date on best practices in the field. With EBP, all clinical decisions are based on available research studies, and these studies are selected and assessed according to specific criteria that yield evidence of benefit. EBP is a continuing education requirement for athletic trainers who are certified with the Board of Certification (BOC). Grounded in solid science, Evidence-Based Practice in Athletic Training explains the basics of EBP and the research design methods that are so vital to its implementation. Starting in part I, the text introduces the various levels of evidence, well-built question development using the PICO technique (patient problem or population, intervention, comparison, and outcomes), the five steps of searching for evidence, and search techniques. Part II guides readers through researching specific questions and evaluating research studies, including how to incorporate the evidence they find into their clinical practice. Part III reviews the various research types, their uses and benefits, and research ethics as a critical part of the process of EBP. Through these step-by-step chapters, readers will be able to formulate clinical questions, perform research on current studies, analyze the available data, and apply the principles in their practice in order to provide the best and most accurate care possible. In addition to in-depth information on the principles and application of EBP, Evidence-Based Practice in Athletic Training presents clinically based scenarios that allow students to apply their recently acquired knowledge to real-life situations, thus encouraging a deeper understanding of the topics presented throughout the text. These scenarios allow those who are learning EBP concepts for the first time to understand how EBP is incorporated clinically. The most efficient, systematic, and thorough resource of its kind, Evidence-Based Practice in Athletic Training encourages students and current certified athletic trainers to ask meaningful questions, gain the knowledge they need for excelling in future practice, and rise to the top of their profession. For students who want a thorough skill base in EBP and for credentialed health care professionals who seek further knowledge in the area, Evidence-Based Practice in Athletic Training will help all current and future athletic trainers provide the best care for their athletes and clients.
This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.
Critically Reading the Theory and Methods of Archaeology stands out as the most thorough and practical guide to the essential critical reading and writing skills that all students, instructors, and practitioners should have. It provides priceless insight for the here and now of the Theory and Methods of Archaeology classes and for a lifetime of reading, learning, teaching, and writing. Chapters focus on rigorous reasoning skills, types of argument, the main research orientations in archaeology, the basic procedural framework that underlies all schools of archaeology, and issues in archaeology raised by skeptical postmodernists.
The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples.
This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.
This book provides a practice-driven, yet rigorous approach to executive management decision-making that performs well even under unpredictable conditions. It explains how executives can employ prescribed engineering design methods to arrive at robust outcomes even when faced with uncontrollable uncertainty. The book presents the paradigm and its main principles in Part I; in Part II it illustrates how to frame a decision situation and how to design the decision so that it will produce its intended behavior. In turn, Part III discusses in detail in situ case studies on executive management decisions. Lastly, Part IV summarizes the book and formulates the key lessons learned.
Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education results from the Joint ICMI/IASE Study Teaching Statistics in School Mathematics: Challenges for Teaching and Teacher Education. Oriented to analyse the teaching of statistics in school and to recommend improvements in the training of mathematics teachers to encourage success in preparing statistically literate students, the volume provides a picture of the current situation in both the teaching of school statistics and the pre-service education of mathematics teachers. A primary goal of Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education is to describe the essential elements of statistics, teacher’s professional knowledge and their learning experiences. Moreover, a research agenda that invites new research, while building from current knowledge, is developed. Recommendations about strategies and materials, available to train prospective teachers in university and in-service teachers who have not been adequately prepared, are also accessible to the reader.
Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research. Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum. 'Key concept' boxes to explain technical research terms Activities and exercises (with answers provided in an appendix) to reinforce learning Sample critique of a published research article Comprehensive coverage of the key components of a robust research study Explanation of basic mathematical concepts Extended section on calculating sample sizes Guidelines on the preparation of posters Calculation of Inter-rater reliability measures, including Cohen’s Kappa, ICC (interclass correlation) and Bland-Altman graphs of inter-rater agreement Introduction to Receiver Operating Characteristics, for use in screening and diagnostic testing against gold-standards The Thurstone Paired Comparison Technique, valuable in capturing the user voice on a variety of service planning, design and development issues Undertaking Systematic Reviews Relevant further reading for each chapter to support readers in their work.