Statistical Methods for Experimental Research in Education and Psychology / Jimmie Leppink.
Leppink, Jimmie, author.
2019
QA279
Available Online

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Title Statistical Methods for Experimental Research in Education and Psychology / Jimmie Leppink.
Author Leppink, Jimmie, author.
ISBN 9783030212414 (electronic book)
3030212416 (electronic book)
9783030212407
DOI https://doi.org/10.1007/978-3-030-21
Published Cham, Switzerland : Springer, [2019]
Copyright ©2019
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-3-030-21
Call Number QA279
Dewey Decimal Classification 519.5/7
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed June 5, 2019).
Series Springer texts in education.
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PART I: COMMON QUESTIONS
Chapter 1: The Question-Design-Analysis Bridge
Chapter 2: Statistical Testing and Estimation
Chapter 3: Measurement and Quality Criteria
Chapter 4: Dealing with Missing Data
PART II: TYPES OF OUTCOME VARIABLES
Chapter 5: Dichotomous Outcome Variables
Chapter 6: Multicategory Nominal Outcome Variables
Chapter 7: Ordinal Outcome Variables
Chapter 8: Quantitative Outcome Variables
PART III: TYPES OF COMPARISONS
Chapter 9: Common Approaches to Multiple Testing
Chapter 10: Directed Hypotheses and Planned Comparisons
Chapter 11: Two-Way and Three-Way Factorial Designs
Chapter 12: Factor-Covariate Combinations
PART IV: MULTILEVEL DESIGNS
Chapter 13: Interaction Between Participants
Chapter 14: Two or More Raters
Chapter 15: Group-by-Time Interactions
Chapter 16: Models for Treatment Order Effects.

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