Table Of ContentAdvanced 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
