Table Of ContentDesign and Analysis
in Educational Research
Using jamovi
Design and Analysis in Educational Research Using jamovi is an integrated approach
to learning about research design alongside statistical analysis concepts. Strunk and
Mwavita maintain a focus on applied educational research throughout the text, with
practical tips and advice on how to do high-quality quantitative research.
Based on their successful SPSS version of the book, the authors focus on using jamovi
in this version due to its accessibility as open source software, and ease of use. The book
teaches research design (including epistemology, research ethics, forming research ques-
tions, quantitative design, sampling methodologies, and design assumptions) and intro-
ductory statistical concepts (including descriptive statistics, probability theory, sampling
distributions), basic statistical tests (like Z and t), and ANOVA designs, including more
advanced designs like the factorial ANOVA and mixed ANOVA.
This textbook is tailor-made for first-level doctoral courses in research design and
analysis. It will also be of interest to graduate students in education and educational
research. The book includes Support Material with downloadable data sets, and new case
study material from the authors for teaching on race, racism, and Black Lives Matter,
available at www.routledge.com/9780367723088.
Kamden K. Strunk is an Associate Professor of Educational Research at Auburn Univer-
sity, where he primarily teaches quantitative methods. His research focuses on intersec-
tions of racial, sexual, and gender identities, especially in higher education. He is also a
faculty affiliate of the Critical Studies Working Group at Auburn University.
Mwarumba Mwavita is an Associate Professor of Research, Evaluation, Measurement,
and Statistics at Oklahoma State University where he teaches quantitative methods. He
is also the founding Director of Center for Educational Research and Evaluation (CERE)
at Oklahoma State University.
“It is clear the authors have worked to write in a way that learners of all levels can understand
and benefit from the content. Notations are commonly recognized, clear, and easy to follow.
Figures and tables are appropriate and useful. I especially appreciate that the authors took
the time not only to address important topics and steps for conducting NHST and various
ANOVA designs but also to address social justice and equity issues in quantitative research
as well as epistemologies and how they connect to research methods. These are important
considerations and ones that are not included in many design/analysis textbooks.
This text seems to capture the elements often found in multiple, separate sources (e.g.,
epistemology, research design, analysis, use of statistical software, and considerations for
social justice/equity) and combines them in one text.
This is so helpful, useful, and needed!”
— Sara R. Gordon, Ph.D.,
Associate Professor
Center for Leadership and Learning
Arkansas Tech University, USA
“The ability to analyze data has never been more important given the volume of informa-
tion available today. A challenge is ensuring that individuals understand the connectedness
between research design and statistical analysis. Strunk and Mwavita introduce fundamental
elements of the research process and illustrate statistical analyses in the context of research
design. This provides readers with tangible examples of how these elements are related and
can affect the interpretation of results.
Many statistical analysis and research design textbooks provide depth but may not
situate scenarios in an applied context. Strunk and Mwavita provide illustrative examples
that are realistic and accessible to those seeking a strong foundation in good research
practices.”
— Forrest C. Lane, Ph.D.,
Associate Professor and Chair
Department of Educational Leadership
Sam Houston State University, USA
“Strunk and Mwavita provide a sound introductory text that is easily accessible to readers
learning applied analysis for the first time.
The chapters flow easily through traditional topics of null hypothesis testing and p-
values. The chapters include hand calculations that assist students in understanding
where the variance is and case studies at the end to develop writing skills related to each
analysis. In addition, software is integrated toward the end of the chapters after readers
have seen and learned to interpret the techniques by hand. Finally, the length of the book
is more manageable for readers as a first introduction to educational statistics.”
— James Schreiber, Ph.D., Professor
School of Nursing, Duquesne University, USA
Design and
Analysis in
Educational
Research Using
jamovi
ANOVA Designs
Kamden K. Strunk
and Mwarumba Mwavita
First published 2022
by Routledge
2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN
and by Routledge
605 Third Avenue, New York, NY 10158
Routledge is an imprint of the Taylor & Francis Group, an informa business
© 2022 Kamden K. Strunk and Mwarumba Mwavita
The right of Kamden K. Strunk and Mwarumba Mwavita 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 utilised 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.
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: Strunk, Kamden K., author. | Mwavita, Mwarumba, author.
Title: Design and analysis in educational research using Jamovi : ANOVA
designs / Kamden K. Strunk & Mwarumba Mwavita.
Identifiers: LCCN 2021002977 (print) | LCCN 2021002978 (ebook) |
ISBN 9780367723064 (hardback) | ISBN 9780367723088 (paperback) |
ISBN 9781003154297 (ebook) Subjects: LCSH: Education–Research–Methodology. |
Educational statistics. | Quantitative research.
Classification: LCC LB1028 .S8456 2021 (print) | LCC LB1028 (ebook) |
DDC 370.72–dc23 LC record available at https://lccn.loc.gov/2021002977
LC ebook record available at https://lccn.loc.gov/2021002978
ISBN: 978-0-367-72306-4 (hbk)
ISBN: 978-0-367-72308-8 (pbk)
ISBN: 978-1-003-15429-7 (ebk)
Typeset in Minion
by Straive, India
Access the Support Material: www.routledge.com/9780367723088
Contents
Acknowledgements vii
Part I: Basic issues 1
1 Basic issues in quantitative educational research 3
2 Sampling and basic issues in research design 21
3 Basic educational statistics 37
Part II: Null hypothesis significance testing 57
4 Introducing the null hypothesis significance test 59
5 Comparing a single sample to the population using the
one-sample Z-test and one-sample t-test 73
Part III: Between-subjects designs 81
6 Comparing two samples means: The independent samples
t-test 83
7 Independent samples t-test case studies 105
8 Comparing more than two sample means: The one-way ANOVA 113
9 One-way ANOVA case studies 145
v
vi • Contents
10 Comparing means across two independent variables:
The factorial ANOVA 155
11 Factorial ANOVA case studies 179
Part IV: Within-subjects designs 191
12 Comparing two within-subjects scores using the paired
samples t-test 193
13 Paired samples t-test case studies 205
14 Comparing more than two points from within the same
sample: The within-subjects ANOVA 213
15 Within-subjects ANOVA case studies 231
16 Mixed between- and within-subjects designs using the mixed
ANOVA 239
17 Mixed ANOVA case studies 255
Part V: Considering equity in quantitative research 265
18 Quantitative methods for social justice and equity:
Theoretical and practical considerations 267
Appendices 275
References 287
Index 291
Acknowledgments
We wish to thank Wilson Lester and Payton Hoover, doctoral students working with
Kamden Strunk, for their help in locating and sorting through potential manuscripts
for the case studies included in this book. We also thank Dr. William “Hank” Murrah
for his help in locating, verifying, and utilizing code for producing simulated data that
replicate the results of those published manuscripts for the case studies. Finally, thank
you to Payton Hoover and Hyun Sung Jang for their assistance in compiling the index.
We also wish to thank the many graduate students who provided feedback on various
pieces of this text as it came together. Specifically, Auburn University graduate students
who provided invaluable feedback on how to make this text more useful for students
included: Jasmine Betties, Jessica Broussard, Katharine Brown, Wendy Cash, Haven
Cashwell, Jacoba Durrell, Jennifer Gibson, Sherrie Gilbert, Jonathan Hallford, Elizabeth
Haynes, Jennifer Hillis, Ann Johnson, Minsu Kim, Ami Landers, Rae Leach, Jessica Mil-
ton, Alexcia Moore, Allison Moran, Jamilah Page, Kurt Reesman, Tajuan Sellers, Daniel
Sullen, Anne Timyan, Micah Toles, LaToya Webb, and Tessie Williams. For their help
and support throughout the process, we thank Hannah Shakespeare and Matt Bickerton
of Routledge/Taylor & Francis Group.
Kamden Strunk wishes to thank his husband, Cyrus Bronock, for support throughout
the writing process, for listening to drafts of chapters, and for providing much needed
distractions from the work. He also wishes to thank Auburn University and, in par-
ticular, the Department of Educational Foundations, Leadership, and Technology for
supporting the writing process and for providing travel funding that facilitated the col-
laboration that resulted in this book.
Mwarumba Mwavita wishes to thank his wife, Njoki Mwarumba, for the encourage-
ment and support throughout the writing process, reminding me that I can do it. In
addition, to my sons, Tuzo Mwarumba and Tuli Mwarumba for cheering me along the
way. This book is dedicated to you, family.
vii
Part I
Basic issues
1
