Multidimensional Item Response Theory: Quantitative Applications in the Social Sciences, cartea 183
Autor Wes Bonifayen Limba Engleză Electronic book text – 23 dec 2019
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Specificații
ISBN-13: 9781506384269
ISBN-10: 1506384269
Pagini: 152
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
ISBN-10: 1506384269
Pagini: 152
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
Recenzii
Multidimensional
IRT
in
a
clear,
accessible,
and
compelling
writing
style.
Cuprins
Series
Editor's
Introduction
Acknowledgments
About the Author
1. Introduction
2. Unidimensional Item Response Theory
3. MIRT Models for Dichotomous Data
4. MIRT Models for Polytomous Data
5. Descriptive MIRT Statistics
6. Item Factor Structures
7. Estimation in MIRT Models
8. MIRT Model Diagnostics and Evaluation
9. MIRT Applications
References
Acknowledgments
About the Author
1. Introduction
2. Unidimensional Item Response Theory
3. MIRT Models for Dichotomous Data
4. MIRT Models for Polytomous Data
5. Descriptive MIRT Statistics
6. Item Factor Structures
7. Estimation in MIRT Models
8. MIRT Model Diagnostics and Evaluation
9. MIRT Applications
References
Descriere
Several
decades
of
psychometric
research
have
led
to
the
development
of
sophisticated
models
for
multidimensional
test
data,
and
in
recent
years,
multidimensional
item
response
theory
(MIRT)
has
become
a
burgeoning
topic
in
psychological
and
educational
measurement.
Considered
a
cutting-edge
statistical
technique,
the
methodology
underlying
MIRT
can
be
complex,
and
therefore
doesn’t
receive
much
attention
in
introductory
IRT
courses.
However
author
Wes
Bonifay
shows
how
MIRT
can
be
understood
and
applied
by
anyone
with
a
firm
grounding
in
unidimensional
IRT
modeling.
His
volume
includes
practical
examples
and
illustrations,
along
with
numerous
figures
and
diagrams.
Brief
snippets
of
R
code
are
interspersed
throughout
the
text
(with
the
complete
R
code
included
on
an
accompanying
website)
to
guide
readers
in
exploring
MIRT
models,
estimating
the
model
parameters,
generating
plots,
and
implementing
the
various
procedures
and
applications
discussed
throughout
the
book.