Statistics for Sport and Exercise Studies

An Introduction

Author: Peter O'Donoghue

Publisher: Taylor & Francis

ISBN: 1136479279

Category: Mathematics

Page: 416

View: 7736

DOWNLOAD NOW »

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

Statistics for Sports and Exercise Science

A Practical Approach

Author: John Newell,Tom Aitchison,Stanley Grant

Publisher: Routledge

ISBN: 1317904184

Category: Sports & Recreation

Page: 440

View: 9222

DOWNLOAD NOW »

Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.

An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists

Author: Nikos Ntoumanis,Nicholas D. Myers

Publisher: John Wiley & Sons

ISBN: 1118962052

Category: Mathematics

Page: 312

View: 5947

DOWNLOAD NOW »

Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists. This book has an outstanding compilation of comprehensible chapters dealing with the important concepts and technical minutia of the statistical analyses that sport and exercise science scholars use (or should be using!) in their efforts to conduct meaningful research in the field. It is a resource that all sport and exercise scientists and their students should have on their book shelves. Robert Eklund, School of Sport, University of Stirling, UK Motivating, to have a statistics text devoted to enabling researchers studying sport and exercise science to apply the most sophisticated analytical techniques to their data. Authors hit the mark between using technical language as necessary and user-friendly terms or translations to keep users encouraged. Text covers traditional and well-used tools but also less common and more complex tools, but always with familiar examples to make their explanations come alive. As a dynamic systems theorist and developmentalist, I would love to see more researchers in my area create study designs that would enable the use of tools outlined here, such as multilevel structural equation modeling (MSEM) or mediation & moderation analyses, to uncover cascades of relations among subsystems contributing to motor performance, over time. This text can facilitate that outcome. Beverly D. Ulrich, School of Kinesiology, University of Michigan, USA The domain of quantitative methods is constantly evolving and expanding. This means that there is tremendous pressure on researchers to stay current, both in terms of best practices and improvements in more traditional methods as well as increasingly complex new methods. With this volume Ntoumanis and Myers present a nice cross-section of both, helping sport and exercise science researchers to address old questions in better ways, and, even more excitingly, to address new questions entirely. I have no doubt that this volume will quickly become a lovingly dog-eared companion for students and researchers, helping them to continue to move the field forward. Gregory R. Hancock, University of Maryland and Center for Integrated Latent Variable Research (CILVR), USA

Sport and Exercise Psychology

Author: Joanne Thatcher,Melissa Day,Rachel Rahman

Publisher: Learning Matters

ISBN: 1844458415

Category: Sports & Recreation

Page: 240

View: 6685

DOWNLOAD NOW »

Electronic Inspection Copy available for instructors here This is a comprehensive and accessible text on exercise and sport psychology for students on sport science/sport and exercise science degrees. It adopts an integrated, thematic approach and covers all the required theory, concepts and research, accompanied by case studies to illustrate the applied nature of the material being covered. The book is split into two major sections, covering exercise psychology and sport psychology, and each chapter supports students as they progress from clear introductory material to more advanced discussions.

An Introduction to Medical Statistics

Author: Martin Bland

Publisher: OUP Oxford

ISBN: 0191002992

Category: Medical

Page: 464

View: 4488

DOWNLOAD NOW »

Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.

Statistics in Kinesiology

Author: William J. Vincent,Joseph P. Weir

Publisher: Human Kinetics Publishers

ISBN: 9781450402545

Category: Education

Page: 378

View: 6522

DOWNLOAD NOW »

This title provides an accessible introduction to statistics concepts and techniques and their applications to exercise science-related areas.

Applied Statistics for the Social and Health Sciences

Author: Rachel A. Gordon

Publisher: Routledge

ISBN: 0415875366

Category: Mathematics

Page: 742

View: 8104

DOWNLOAD NOW »

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/

Key Concepts in Sport and Exercise Research Methods

Author: Michael Atkinson

Publisher: SAGE

ISBN: 1446254275

Category: Social Science

Page: 256

View: 9488

DOWNLOAD NOW »

"What a helpful book! This will be a 'friend ' to many undergraduate students looking for clarification." - Helen Hazelwood, St Mary's University College "This is a great book that really helps the students understand research and the complex processes that can often daunt even the most intelligent students." - Phil Barter, Middlesex University "Few can bring research methods to life like Mike Atkinson. His breadth of research interests and experience mean he can introduce you to all you need to know and inspire you to get down to doing some research yourself." - Dominic Malcolm, Loughborough University This book systematically demonstrates the significance and application of research methods in plain language. Written for students, it contains the core methodological concepts, practices and debates they need to understand and apply research methods within the field of sport and exercise. It provides a comprehensive panoramic introduction which will reassure and empower students. Written by a leading academic and drawing on years of teaching experience, it includes carefully cross-referenced entries which critically engage with interdisciplinary themes and data. Each concept includes: clear definitions suggestions for further reading comprehensive examples practical applications Pragmatic, lucid and concise the book will provide essential support to students in sports studies, sport development, sport and exercise science, kinesiology and health.

Understanding Psychology as a Science

An Introduction to Scientific and Statistical Inference

Author: Zoltan Dienes

Publisher: Macmillan International Higher Education

ISBN: 1137096055

Category: Psychology

Page: 184

View: 3081

DOWNLOAD NOW »

What makes psychology a science? What is the logic underlying psychological research? In this groundbreaking book Zoltán Dienes introduces students to key issues in the philosophy of science and statistics that have a direct and vital bearing on the practice of research in psychology. The book is organised around the influential thinkers and conceptual debates which pervade psychological research and teaching but until now have not been made accessible to students. In a clear and fluid style, Dienes takes the reader on a compelling tour of the ideas of: - Popper - Kuhn& Lakatos - Neyman& Pearson - Bayes - Fisher& Royall Featuring examples drawn from extensive teaching experience to ground the ideas firmly in psychological science, the book is an ideal companion to courses and modules in psychological research methods and also to those covering conceptual and historical issues.

Reasoning with Data

An Introduction to Traditional and Bayesian Statistics Using R

Author: Jeffrey M. Stanton

Publisher: Guilford Publications

ISBN: 1462530265

Category: Computers

Page: 325

View: 9966

DOWNLOAD NOW »

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website (www.guilford.com/stanton2-materials) provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. Pedagogical Features: *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.

Introduction to Statistics

Fundamental Concepts and Procedures of Data Analysis

Author: Howard M. Reid

Publisher: SAGE Publications

ISBN: 1483324281

Category: Social Science

Page: 632

View: 3470

DOWNLOAD NOW »

Using a truly accessible and reader-friendly approach, Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis, by Howard M. Reid, redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.

An Introduction to Statistical Inference and Its Applications with R

Author: Michael W. Trosset

Publisher: CRC Press

ISBN: 9781584889489

Category: Mathematics

Page: 496

View: 5196

DOWNLOAD NOW »

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples—not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data.

Risk Management in Sport and Recreation

Author: John Otto Spengler,Daniel Connaughton,Andrew T. Pittman

Publisher: Human Kinetics

ISBN: 9780736056199

Category: Business & Economics

Page: 167

View: 5558

DOWNLOAD NOW »

Risk Management in Sport and Recreation is a comprehensive resource for those charged with the responsibility of providing for the safety of participants and spectators in a sport or recreation setting. It covers a range of safety issues, including lightning, heat illness, aquatics, playground safety, drug testing, and medical emergency action plans. Readers receive clear and detailed explanations of issues to consider before making decisions on risk management. Risk Management in Sport and Recreation is designed to provide a foundation for approaching key issues in safety and risk management. It shows readers how to evaluate and analyze various safety issues and apply the underlying concepts to a variety of situations. The following are unique features of the text: -A safety guidelines finder lists Web sites of accessible standards, guidelines, and recommendations from leading organizations. -Chapter objectives and pullout boxes of key points and key statistics stress the importance of the topic under discussion. -Threshold issues in each chapter highlight important factors to consider when making decisions on risk management. -Real-world applications at the end of each chapter present scenarios involving the potential for harm, and readers must make a decision on how to address the issues. -Examples of public service announcements, posters, and other publicly viewed safety information are presented. -An appendix offers examples of emergency action plans, checklists, and recommendations from organizations such as the National Lightning Safety Institute and university aquatic centers. -A companion Web site provides links to the Web sites used in the book, as well as updates to guidelines and links that may occur after the book is in print. The safety guidelines finder gives students and practitioners a single location from which they can easily access important safety information. Organized under land-based or water-based activities, each activity lists guidelines, recommendations, and standards along with the source for that information. Each entry includes Web sites where readers can find the full documents. The text also features sample guidelines and safety checklists from agencies and associations that demonstrate how organizations might plan for risk and communicate safety information. Readers also consider the types of postings and equipment they will need in order to communicate their risk management plans, and they are given real-life situations in which a risk management plan is needed and are prompted to consider why and how to create a plan for such situations. The resource will help students and professionals plan for and manage risk. Current and future employees of sport facilities, school athletic programs, parks and recreation programs, youth and aquatic centers, or resorts and golf courses will find that Risk Management in Sport and Recreation provides the tools to assist in making the right decisions to manage risk effectively.

Introduction to Physical Education, Exercise Science and Sport Studies

Author: Angela Lumpkin

Publisher: N.A

ISBN: 9781259010750

Category: Physical education and training

Page: 416

View: 3833

DOWNLOAD NOW »

Introduction to Physical Education, Exercise Science, and Sport Studies provides students with an exciting opportunity to discover the diversity of physical education, exercise science, and sport and the wealth of careers available in these fields. Students are introduced to the heritage, current programs, and future potential of their majors through the explanation of the origins of different careers and the skills necessary to perform them.

Recipes for Science

An Introduction to Scientific Methods and Reasoning

Author: Angela Potochnik,Matteo Colombo,Cory Wright

Publisher: Routledge

ISBN: 1317416449

Category: Philosophy

Page: 336

View: 1613

DOWNLOAD NOW »

Today, scientific literacy is an essential aspect of any undergraduate education. Recipes for Science responds to this need by providing an accessible introduction to the nature of science and scientific methods, reasoning, and concepts that is appropriate for any beginning college student. It is designed to be adaptable to a wide variety of different kinds of courses, such as introductions to scientific reasoning or critical thinking, philosophy of science, and science education. In any of these different uses, the book helps students better navigate our scientific, 21st-century world. Key Features Contemporary and historical examples of science from many fields of physical, life, and social sciences. Visual aids to clarify and illustrate ideas. Text boxes to explore related topics. Plenty of exercises to ensure full student engagement and mastery of the information. Annotated 'Further Reading' sections at the end of each chapter. Final glossary with helpful definitions of key terms. A companion website with author-developed and crowdsourced materials, including syllabi for courses using this textbook, bibliography of additional resources and online materials, sharable PowerPoint presentations and lecture notes, and additional exercises and extended projects.

Qualitative Research Methods in Sport, Exercise and Health

From Process to Product

Author: Andrew C. Sparkes,Brett Smith

Publisher: Routledge

ISBN: 1136974725

Category: Medical

Page: 288

View: 4436

DOWNLOAD NOW »

Qualitative forms of inquiry are a dynamic and exciting area within contemporary research in sport, exercise and health. Students and researchers at all levels are now expected to understand qualitative approaches and be able to employ them in their work. In this comprehensive and in-depth introductory text, Andrew C. Sparkes and Brett Smith take the reader on a journey through the entire qualitative research process that begins with the conceptualization of ideas and the planning of a study, moves through the phases of data collection and analysis, and then explains how findings might be represented in various ways to different audiences. Ethical issues are also explored in detail, as well as the ways that the goodness of qualitative research might be judged by its consumers. The book is based on the view that researchers need to make principled, informed and strategic decisions about what, why, when, and how to use qualitative forms of inquiry. The nature of qualitative research is explained in terms of both its core assumptions and what practitioners actually do in the field when they collect data and subject it to analysis. Each chapter is vividly illustrated with cases and examples from published research, to demonstrate different qualitative approaches in action and their relative strengths and weaknesses. The book also extends the boundaries of qualitative research by exploring innovative contemporary methodologies and novel ways to report research findings. Qualitative Research Methods in Sport, Exercise and Health is essential reading for any student, researcher or professional who wishes to understand this form of inquiry and to engage in a research project within a sport, exercise or health context.

Understanding Statistical Analysis and Modeling

Author: Robert Bruhl

Publisher: SAGE Publications

ISBN: 1506317375

Category: Social Science

Page: 440

View: 4976

DOWNLOAD NOW »

Understanding Statistical Analysis and Modeling is for readers in the social, behavioral, or managerial sciences mathematics to understand the logic of statistical analysis. Robert Bruhl covers all the basic methods of descriptive and inferential statistics in an accessible manner by way of asking and answering research questions. Concepts are discussed in the context of a specific research project and the book includes probability theory as the basis for understanding statistical inference. Instructions on using SPSS® are included so that readers focus on interpreting statistical analysis rather than calculations. Tables are used, rather than formulas, to describe the various calculations involved with statistical analysis and the exercises in the book are intended to encourage students to formulate and execute their own empirical investigations.

Routledge Handbook of Qualitative Research in Sport and Exercise

Author: Brett Smith,Andrew C. Sparkes

Publisher: Routledge

ISBN: 1317646908

Category: Social Science

Page: 496

View: 7184

DOWNLOAD NOW »

The last two decades have witnessed a proliferation of qualitative research in sport and exercise. The Routledge Handbook of Qualitative Research in Sport and Exercise is the first book to offer an in-depth survey of established and emerging qualitative methods, from conceptual first principles to practice and process. Written and edited by a team of world-leading researchers, and some of the best emerging talents, the book introduces a range of research traditions within which qualitative researchers work. It explores the different methods used to collect and analyse data, offering rationales for why each method might be chosen and guidance on how to employ each technique successfully. It also introduces important contemporary debates and goes further than any other book in exploring new methods, concepts, and future directions, such as sensory research, digital research, visual methods, and how qualitative research can generate impact. Cutting-edge, timely and comprehensive, the Routledge Handbook of Qualitative Research in Sport and Exercise is an essential reference for any student or scholar using qualitative methods in sport and exercise-related research.

Bayesian Ideas and Data Analysis

An Introduction for Scientists and Statisticians

Author: Ronald Christensen,Wesley Johnson,Adam Branscum,Timothy E Hanson

Publisher: CRC Press

ISBN: 1439803552

Category: Mathematics

Page: 516

View: 8304

DOWNLOAD NOW »

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book’s website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website.