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Advanced Statistics for Kinesiology and Exercise Science: A Practical Guide to ANOVA and Regression Analyses PDF

153 Pages·2018·9.135 MB·English
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Advanced Statistics for Kinesiology and Exercise Science Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human perform- ance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA) and regressions analyses, including chapters on: • preparing data for analysis; • one- way, factorial, and repeated- measures ANOVA; • analysis of covariance and multiple analyses of variance and covariance; • diagnostic tests; • regression models for quantitative and qualitative data; • model selection and validation; • logistic regression Drawing clear lines between the use of IBM SPSS Statistics software and interpreting and analyzing results, and illustrated with sport and exercise science- specific sample data and results sections throughout, the book offers an unparalleled level of detail in explaining advanced statistical techniques to kinesiology students. Advanced Sta- tistics for Kinesiology and Exercise Science is an essential text for any student studying advanced statistics or research methods as part of an undergraduate or postgraduate degree program in kinesiology, sport and exercise science, or health science. Moh H. Malek, Ph.D., FACSM, FNSCA, CSCS,*D, is an Associate Professor (tenured) of Physical Therapy in the Department of Health Care Sciences at the Eugene Applebaum College of Pharmacy and Health Sciences at Wayne State Univer- sity in Detroit, Michigan, USA. Jared W. Coburn, Ph.D., FACSM, FNSCA, CSCS,*D, is a Professor (tenured) of Kinesiology in the Department of Kinesiology at California State University, Fuller- ton, California, USA. William D. Marelich, Ph.D., is a Professor (tenured) of Psychology in the Depart- ment of Psychology at California State University, Fullerton, and a consulting statis- tician for Health Risk Reduction Projects, Integrative Substance Abuse Programs (ISAP), Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at the University of California, Los Angeles, USA. Advanced Statistics for Kinesiology and Exercise Science A Practical Guide to ANOVA and Regression Analyses Moh H. Malek, Jared W. Coburn and William D. Marelich First published 2019 by Routledge 2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN and by Routledge 711 Third Avenue, New York, NY 10017 Routledge is an imprint of the Taylor & Francis Group, an informa business © 2019 Moh H. Malek, Jared W. Coburn, and William D. Marelich The right of Moh H. Malek, Jared W. Coburn, and William D. Marelich to be identified as authors of this work has been asserted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or utilized in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. IBM, the IBM logo, ibm.com, and SPSS are trademarks or registered trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “IBM Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml. British Library Cataloguing- in-Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging- in-Publication Data Names: Malek, Moh H., author. | Coburn, Jared W., author. | Marelich, William D., author. Title: Advanced statistics for kinesiology and exercise science : a practical guide to ANOVA and regression analyses / Moh H. Malek, Jared W. Coburn, and William Marelich. Description: Milton Park, Abingdon : New York, NY : Routledge, 2018. | Includes index. Identifiers: LCCN 2018010502| ISBN 9780415373012 (hbk) | ISBN 9780415373395 (pbk) | ISBN 9781315231273 (ebk) Subjects: LCSH: Kinesiology–Statistical methods. Classification: LCC QP303 .M244 2018 | DDC 613.7072/7–dc23 LC record available at https://lccn.loc.gov/2018010502 ISBN: 978-0-415-37301-2 (hbk) ISBN: 978-0-415-37339-5 (pbk) ISBN: 978-1-315-23127-3 (ebk) Typeset in Sabon by Wearset Ltd, Boldon, Tyne and Wear Books, especially those addressing quantitative methods, are not the sole product of their authors. We sincerely thank our families who have dealt with our moodiness as well as early morning and late-n ight writing sessions for this book. Without their support, only doodles would be within these pages. We also thank our students, where we’ve tested these concepts and appreciated their feedback. We would like to thank Jalen Weaver for his input on the cover. Contents List of figures ix List of tables x PART I ANOVA analysis 1 1 What’s stats got to do with it? 3 2 Organizing the data 5 3 Review of one- way analysis of variance (ANOVA) 10 4 Two- and three- way factorial ANOVA 14 5 Mixed or between-within factorial ANOVA 32 6 Analysis of covariance (ANCOVA) 47 PART II Regression analysis 57 7 Diagnostic tests for regression 59 8 Basic multiple regression analysis 78 9 Multiple regression models for quantitative and categorical data 90 10 Regression model validation 99 11 Logistic regression 102 viii Contents PART III Special statistical procedures 117 12 Multivariate analysis of variance (MANOVA) 119 Index 134 Figures 4.1 Estimated marginal means of strength index 23 7.1 Histogram for the age variable, reprint courtesy of International Business Machines Corporation 62 · 7.2 Histogram for Vo max variable, reprint courtesy of International 2 Business Machines Corporation 63 7.3 Bivariate plots of the criterion with age and weight variables, reprint courtesy of International Business Machines Corporation 64 7.4 Homoscedasticity plot scatterplot, reprint courtesy of International Business Machines Corporation 65 7.5 Scatterplot, reprint courtesy of International Business Machines Corporation 69 7.6 Scatterplot, reprint courtesy of International Business Machines Corporation 70 11.1 Block 2: method = enter, reprint courtesy of International Business Machines Corporation 113 11.2 Hosmer and Lemeshow test, reprint courtesy of International Business Machines Corporation 114 12.1 Estimated marginal means, reprint courtesy of International Business Machines Corporation 124 12.2 Positions college division, reprint courtesy of International Business Machines Corporation 130

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