Overview
- Focuses on experimental research
- Uses examples from a wide variety of statistical software, including emerging zero-cost Open Source packages such as JASP and Jamovi
- Bridges the two disciplines education and psychology in common theory, experimental designs, and statistical methods
- Provides statistical analysis plans that fit a wide range of experimental research questions and designs
- Unites traditional and emerging approaches to statistical testing and estimation
Part of the book series: Springer Texts in Education (SPTE)
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Table of contents (17 chapters)
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Front Matter
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Common Questions
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Front Matter
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Types of Outcome Variables
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Front Matter
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Types of Comparisons
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Front Matter
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Multilevel Designs
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Front Matter
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Keywords
- Experimental research in education
- Experimental research in psychology
- Experimental research in educational psychology
- Experimental research on learning and instruction
- Experimental research in medical education
- Experimental research in health professions education
- Statistical methods for experimental research
- Statistics in education research
- Question-design-analysis bridge
- Sampling procedures for experimental research
- Two one-sided tests equivalence testing in education
- Statistical testing and estimation in experimental research
- Bayesian analysis in experimental research
- Multilevel analysis in experimental research
- Models for treatment order effects
- Models for ordinal data in experimental research
- Multicategory nominal outcome variables in experimental research
- Survival analysis in experimental research
- Poisson regression in experimental research
- learning and instruction
About this book
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used.
The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre.
Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.
Authors and Affiliations
Bibliographic Information
Book Title: Statistical Methods for Experimental Research in Education and Psychology
Authors: Jimmie Leppink
Series Title: Springer Texts in Education
DOI: https://doi.org/10.1007/978-3-030-21241-4
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-21240-7Published: 12 June 2019
eBook ISBN: 978-3-030-21241-4Published: 30 May 2019
Series ISSN: 2366-7672
Series E-ISSN: 2366-7680
Edition Number: 1
Number of Pages: XXVI, 289
Number of Illustrations: 9 b/w illustrations, 48 illustrations in colour
Topics: Educational Psychology, Learning & Instruction, Statistics for Social Sciences, Humanities, Law, Experimental Psychology