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El. knyga: Teaching Statistics and Quantitative Methods in the 21st Century

Edited by (Vanderbilt University, USA)

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This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers.

Is it time for a radical revision in our pedagogical orientation? How are we currently teaching introductory statistics and quantitative methods, and how should we teach them? What innovations are used, what is in development? This ground-breaking edited volume addresses these questions and more, providing cutting-edge guidance from highly accomplished teachers. Many current textbooks and syllabi differ in only superficial ways from those used 50 years ago, yet the field of quantitative methods – and its relationship to the research enterprise – has expanded in many important ways. A philosophical axiom underlying this book is that introductory teaching should prepare students to potentially enter more advanced quantitative methods training and ultimately to become accomplished researchers.

The reader is introduced to classroom innovation, and to both pragmatic and philosophical challenges to the status quo, motivating a broad revolution in how introductory statistics and quantitative methods are taught. Designed to update and renovate statistical pedagogy, this material will stimulate students, new instructors, and experienced teachers.

List of Contributors
viii
Preface xi
Camilla P. Benbow
Foreword xiii
Robert C. MacCallum
1 Teaching Statistics and Research Methods in the 21st Century: An Introduction to 17
Chapters on Statistical Pedagogy, Curriculum, Philosophy, and Administration
1(10)
Joseph Lee Rodgers
SECTION I Meta-Issues Related to Teaching: Curriculum, Content, Philosophy, and Supply-Demand Issues
11(124)
2 The Role of Philosophy of Science When Teaching Statistics to Social Scientists: Two Constructivists Walk Into a Bar (or Do They?)
13(17)
Michael C. Edwards
3 Optimizing Student Learning and Inclusion in Quantitative Courses
30(25)
A.T. Panter Viji Sathy
Kelly A. Hogan
4 Not the What of Quantitative Training but the Who
55(15)
Leona S. Aiken
5 Is Methodological Research Moving Into Practice? The Critical Role of Formal Methodological Training
70(17)
Jessica K. Flake
Ian J. Davidson
Jo Lynn Pek
6 Singletons: Reevaluating Course Objectives When an Introductory Statistics Course Is a Student's Only Statistics Course
87(15)
Matthew S. Fritz
7 When Statistical Assumptions Are Interesting Outcomes Instead of Nuisances--Looking Beyond the Mean
102(21)
Rachel T. Fouladi
8 Teaching Introductory Statistics to Applied Researchers in the 21st Century: A Dialectic Examination
123(12)
Joseph Lee Rodgers
SECTION II Modern Classroom Innovations in Teaching Statistics and Quantitative Methods
135(2)
9 Teaching Quantitative Skills Across the Psychology Curriculum
137(16)
Charles S. Reichardt
10 The Eyes Have It: Emphasizing Data Visualization When Teaching Students Meeting a Quantitative Literacy Requirement
153(17)
Robert Terry
Vincent T. Ybarra
11 Low- and Medium-Tech Complements to High-Tech Tools for Teaching Statistics: The Case for Using Appropriate Technology to Implement Cognitive Principles for Teaching
170(12)
David Rindskopf
12 Hands-on Experience in the Classroom Why, How, and Outcomes
182(15)
Pascal R. Deboeck
13 Who Benefits From the Flipped Classroom? Quasi-Experimental Findings on Student Learning, Engagement, Course Perceptions, and Interest in Statistics
197(20)
Viji Sathy
Quinn Moore
14 Teaching Research Methods Using Simulation
217(21)
William Revelle
15 Teaching Statistics With a BYOD (Bring Your Own Device) Student Response System
238(11)
R. Shane Hutton
Derek Bruff
16 Personally Relevant Project-Based Earning in Graduate Statistics Curriculum in Psychology
249(17)
Rachel T. Fouladi
17 Using Projects to Teach Statistics in Social Sciences
266(15)
Jennifer D. Timmer
Carolyn J. Anderson
18 Teaching Statistical Concepts Through a Scale Development Project
281(9)
Kevin J. Grimm
Jonathan L. Helm
Index 290
Joseph Lee Rodgers earned his PhD. in quantitative psychology, with a minor in biostatistics, from the University of North Carolina at Chapel Hill in 1981. He worked at the University of Oklahoma from 1981-2012, where he is George Lynn Cross Research Professor Emeritus. He joined the Quantitative Methods program at Vanderbilt in 2012. He has published two co-authored books, two edited books, and over 150 journal articles/book chapters in the professional literature. He has also had a career commitment to classroom teaching and has written many articles in the statistics and quantitative methods literature that are didactic teaching-oriented articles.