Data Theory and Dimensional Analysis: Quantitative Applications in the Social Sciences, cartea 78
Autor William G. Jacobyen Limba Engleză Electronic book text – 29 apr 1991
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| Paperback (1) | 335.76 lei 6-8 săpt. | |
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| SAGE Publications – 29 apr 1991 | 114.33 lei Precomandă |
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Specificații
ISBN-13: 9781452215570
ISBN-10: 145221557X
Pagini: 96
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: 145221557X
Pagini: 96
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
Cuprins
Introduction
Measurement
Data Theory
Dimensionality
Data Theory and Scaling Methods
Alternating Least Squares, Optimal Scaling
Conclusions
Measurement
Data Theory
Dimensionality
Data Theory and Scaling Methods
Alternating Least Squares, Optimal Scaling
Conclusions
Descriere
By
examining
some
of
the
basic
scaling
questions,
such
as
the
importance
of
measurement
levels,
the
kinds
of
variables
needed
for
Likert
or
Guttman
scales
and
when
to
use
multidimensional
scaling
versus
factor
analysis,
Jacoby
introduces
readers
to
the
most
appropriate
scaling
strategies
for
different
research
situations.
He
also
explores
data
theory,
the
study
of
how
real
world
observations
can
be
transformed
into
something
to
be
analyzed,
in
order
to
facilitate
more
effective
use
of
scaling
techniques.
Notă biografică
William G. Jacoby is a Professor in the Department of Political Science at Michigan State University. He is also a Research Scientist at the University of Michigan, where he serves as Director of the Inter-University Consortium for Political and Social Research (ICPSR) Summer Training Program in Quantitative Methods of Social Research.
Professor Jacoby joined the MSU faculty in 2003. Previously, he held positions at the University of South Carolina, Ohio State University, and the University of Missouri. He received his Ph.D. from the University of North Carolina, Chapel Hill in 1983.
Professor Jacoby¿s main professional interests are mass political behavior (public opinion, political attitudes, voting behavior) and quantitative methodology (measurement theory, scaling methods, statistical graphics, modern regression). His current research focuses on citizen ideology and belief system organization, value choices and their implications for subsequent political orientations, measuring policy priorities in the American states, the implications of measurement assumptions for statistical models, and graphical strategies for data analysis.
Recently, Professor Jacoby has taught courses on public opinion, regression analysis, scaling methods, and statistical graphics.
Professor Jacoby joined the MSU faculty in 2003. Previously, he held positions at the University of South Carolina, Ohio State University, and the University of Missouri. He received his Ph.D. from the University of North Carolina, Chapel Hill in 1983.
Professor Jacoby¿s main professional interests are mass political behavior (public opinion, political attitudes, voting behavior) and quantitative methodology (measurement theory, scaling methods, statistical graphics, modern regression). His current research focuses on citizen ideology and belief system organization, value choices and their implications for subsequent political orientations, measuring policy priorities in the American states, the implications of measurement assumptions for statistical models, and graphical strategies for data analysis.
Recently, Professor Jacoby has taught courses on public opinion, regression analysis, scaling methods, and statistical graphics.