The Multivariate Social Scientist: Introductory Statistics Using Generalized Linear Models
Autor Graeme D Hutcheson, Nick Sofroniouen Limba Engleză Electronic book text – 16 sep 2010
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Specificații
ISBN-13: 9780857021908
ISBN-10: 0857021907
Pagini: 288
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 0857021907
Pagini: 288
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
`I
learnt
a
lot
from
this
book,
which
is
very
clear
and
carefully
explains
a
wide
range
of
multivariate
techniques,
basing
them
all
on
a
consistent
explanatory
framework.
It
will
be
invaluable
for
social
scientists
wanting
to
progress
beyond
an
introductory
level
of
statistics'
-Nigel
Gilbert,
University
of
Surrey
`A good introduction to ordinary regression, logistic regression, and loglinear models for the analysis of categorical frequency data....A nice feature of the book and one that social scientists will find very useful is the detailed listing of computer codes for the implementation of these models within the SPSS and GLIM software' -Zentralblatt MATH
"The book combines a sound and clear exposition of GLMs with a wealth of practical tips. Even for those already familiar with most of the techniques covered it would be an excellent refresher course."
`A good introduction to ordinary regression, logistic regression, and loglinear models for the analysis of categorical frequency data....A nice feature of the book and one that social scientists will find very useful is the detailed listing of computer codes for the implementation of these models within the SPSS and GLIM software' -Zentralblatt MATH
"The book combines a sound and clear exposition of GLMs with a wealth of practical tips. Even for those already familiar with most of the techniques covered it would be an excellent refresher course."
Cuprins
Introduction
Data Screening
Ordinary Least-Squares Regression
Logistic Regression
Loglinear Analysis
Factor Analysis
Conclusion
Data Screening
Ordinary Least-Squares Regression
Logistic Regression
Loglinear Analysis
Factor Analysis
Conclusion
Descriere
Starting
from
simple
hypothesis
testing
and
then
moving
towards
model-building,
this
book
takes
readers
through
the
basics
of
multivariate
analysis
including:
which
tests
to
use
on
which
data;
how
to
run
analyses
in
SPSS
for
Windows
and
GLIM4;
how
to
interpret
results;
and
how
to
report
and
present
the
reports.