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Books > Social sciences > Education > Teaching skills & techniques
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Statistical Methods for Experimental Research in Education and Psychology (Paperback, 1st ed. 2019)
Loot Price: R2,206
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Statistical Methods for Experimental Research in Education and Psychology (Paperback, 1st ed. 2019)
Series: Springer Texts in Education
Expected to ship within 18 - 22 working days
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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.
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