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A systematic, innovative introduction to the field of network
analysis, Network Psychometrics with R: A Guide for Behavioral and
Social Scientists provides a comprehensive overview of and guide to
both the theoretical foundations of network psychometrics as well
as modelling techniques developed from this perspective. Written by
pioneers in the field, this textbook showcases cutting-edge methods
in an easily accessible format, accompanied by problem sets and
code. After working through this book, readers will be able to
understand the theoretical foundations behind network modelling,
infer network topology, and estimate network parameters from
different sources of data. This book features an introduction on
the statistical programming language R that guides readers on how
to analyse network structures and their stability using R. While
Network Psychometrics with R is written in the context of social
and behavioral science, the methods introduced in this book are
widely applicable to data sets from related fields of study.
Additionally, while the text is written in a non-technical manner,
technical content is highlighted in textboxes for the interested
reader. Network Psychometrics with R is ideal for instructors and
students of undergraduate and graduate level courses and workshops
in the field of network psychometrics as well as established
researchers looking to master new methods. This book is accompanied
by a companion website with resources for both students and
lecturers.
A systematic, innovative introduction to the field of network
analysis, Network Psychometrics with R: A Guide for Behavioral and
Social Scientists provides a comprehensive overview of and guide to
both the theoretical foundations of network psychometrics as well
as modelling techniques developed from this perspective. Written by
pioneers in the field, this textbook showcases cutting-edge methods
in an easily accessible format, accompanied by problem sets and
code. After working through this book, readers will be able to
understand the theoretical foundations behind network modelling,
infer network topology, and estimate network parameters from
different sources of data. This book features an introduction on
the statistical programming language R that guides readers on how
to analyse network structures and their stability using R. While
Network Psychometrics with R is written in the context of social
and behavioral science, the methods introduced in this book are
widely applicable to data sets from related fields of study.
Additionally, while the text is written in a non-technical manner,
technical content is highlighted in textboxes for the interested
reader. Network Psychometrics with R is ideal for instructors and
students of undergraduate and graduate level courses and workshops
in the field of network psychometrics as well as established
researchers looking to master new methods. This book is accompanied
by a companion website with resources for both students and
lecturers.
This book examines test validity in the behavioral, social, and
educational sciences by exploring three fundamental problems:
measurement, causation and meaning. Psychometric and philosophical
perspectives receive attention along with unresolved issues. The
authors explore how measurement is conceived from both the
classical and modern perspectives. The importance of understanding
the underlying concepts as well as the practical challenges of test
construction and use receive emphasis throughout. The book
summarizes the current state of the test validity theory field.
Necessary background on test theory and statistics is presented as
a conceptual overview where needed. Each chapter begins with an
overview of key material reviewed in previous chapters, concludes
with a list of suggested readings, and features boxes with examples
that connect theory to practice. These examples reflect actual
situations that occurred in psychology, education, and other
disciplines in the US and around the globe, bringing theory to
life. Critical thinking questions related to the boxed material
engage and challenge readers. A few examples include: What is the
difference between intelligence and IQ? Can people disagree on
issues of value but agree on issues of test validity? Is it
possible to ask the same question in two different languages? The
first part of the book contrasts theories of measurement as applied
to the validity of behavioral science measures.The next part
considers causal theories of measurement in relation to
alternatives such as behavior domain sampling, and then unpacks the
causal approach in terms of alternative theories of causation.The
final section explores the meaning and interpretation of test
scores as it applies to test validity. Each set of chapters opens
with a review of the key theories and literature and concludes with
a review of related open questions in test validity theory.
Researchers, practitioners and policy makers interested in test
validity or developing tests appreciate the book's cutting edge
review of test validity. The book also serves as a supplement in
graduate or advanced undergraduate courses on test validity,
psychometrics, testing or measurement taught in psychology,
education, sociology, social work, political science, business,
criminal justice and other fields. The book does not assume a
background in measurement.
This book examines test validity in the behavioral, social, and
educational sciences by exploring three fundamental problems:
measurement, causation and meaning. Psychometric and philosophical
perspectives receive attention along with unresolved issues. The
authors explore how measurement is conceived from both the
classical and modern perspectives. The importance of understanding
the underlying concepts as well as the practical challenges of test
construction and use receive emphasis throughout. The book
summarizes the current state of the test validity theory field.
Necessary background on test theory and statistics is presented as
a conceptual overview where needed. Each chapter begins with an
overview of key material reviewed in previous chapters, concludes
with a list of suggested readings, and features boxes with examples
that connect theory to practice. These examples reflect actual
situations that occurred in psychology, education, and other
disciplines in the US and around the globe, bringing theory to
life. Critical thinking questions related to the boxed material
engage and challenge readers. A few examples include: What is the
difference between intelligence and IQ? Can people disagree on
issues of value but agree on issues of test validity? Is it
possible to ask the same question in two different languages? The
first part of the book contrasts theories of measurement as applied
to the validity of behavioral science measures.The next part
considers causal theories of measurement in relation to
alternatives such as behavior domain sampling, and then unpacks the
causal approach in terms of alternative theories of causation.The
final section explores the meaning and interpretation of test
scores as it applies to test validity. Each set of chapters opens
with a review of the key theories and literature and concludes with
a review of related open questions in test validity theory.
Researchers, practitioners and policy makers interested in test
validity or developing tests appreciate the book's cutting edge
review of test validity. The book also serves as a supplement in
graduate or advanced undergraduate courses on test validity,
psychometrics, testing or measurement taught in psychology,
education, sociology, social work, political science, business,
criminal justice and other fields. The book does not assume a
background in measurement.
Is it possible to measure psychological attributes like
intelligence, personality and attitudes and if so, how does that
work? What does the term 'measurement' mean in a psychological
context? This fascinating and timely book discusses these questions
and investigates the possible answers that can be given response.
Denny Borsboom provides an in-depth treatment of the philosophical
foundations of widely used measurement models in psychology. The
theoretical status of classical test theory, latent variable theory
and positioned in terms of the underlying philosophy of science.
Special attention is devoted to the central concept of test
validity and future directions to improve the theory and practice
of psychological measurement are outlined.
Is it possible to measure psychological attributes like
intelligence, personality and attitudes and if so, how does that
work? What does the term 'measurement' mean in a psychological
context? This fascinating and timely book discusses these questions
and investigates the possible answers that can be given response.
Denny Borsboom provides an in-depth treatment of the philosophical
foundations of widely used measurement models in psychology. The
theoretical status of classical test theory, latent variable theory
and positioned in terms of the underlying philosophy of science.
Special attention is devoted to the central concept of test
validity and future directions to improve the theory and practice
of psychological measurement are outlined.
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