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Quantitative Applications in the Social Sciences (QASS)
NEW!
GATHERING SOCIAL NETWORK DATA VOLUME 180
jimi adams, University of Colorado-Denver
This volume on social network data collection provides an important complement to existing books that focus on social
network analysis, and offers more detailed coverage than is available in existing chapter-length treatments.
PAPERBACK: $22.00 • ISBN: 978-1-5443-2146-2 • JULY 2019 • 160 PAGES •
online
resources
NEW!
MULTIDIMENSIONAL ITEM RESPONSE THEORY VOLUME 181
Wes Bonifay, University of Missouri
This QASS volume covers a burgeoning topic in psychometrics and educational measurement. Psychological constructs
are inherently complicated and multifaceted, and simple unidimensional measurement models are often insuffi cient
approximations of complex data. This text will differ from other currently available books in that it will target a less
statistically advanced demographic.
PAPERBACK: $22.00 • ISBN: 978-1-5063-8425-2 • JULY 2019 • 168 PAGES •
online
resources
MULTILEVEL STRUCTURAL EQUATION MODELING VOLUME 179
Bruno Castanho Silva, University of Cologne, Germany • Constantin Manuel Bosancianu, Wissenschaftszentrum
Berlin fuer Sozialforschung, Germany • Levente Littvay, Central European University, Hungary
This book focuses on the confl uence of two fi elds in applied statistics: multilevel modeling (MLM) and structural equation
modeling (SEM). This volume serves as a minimally technical overview of multilevel structural equation modeling (MSEM)
for applied researchers and advanced graduate students in in the social sciences. The authors predict a growth in this area,
fueled by both data availability and also the availability of new and improved software to run these models. The applied
approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantees that the
volume will appeal to social science graduate students wanting to utilize such models.
PAPERBACK: $22.00 • ISBN: 978-1-5443-2305-3 • MAY 2019 • 168 PAGES •
online
resources
SPATIAL REGRESSION MODELS: SECOND EDITION, VOLUME 155
Michael D. Ward, Duke University • Kristian Skrede Gleditsch, University of Essex, U.K.
This volume illustrates the use of spatial analysis in the social sciences within a regression framework. The book is
accessible to readers without prior background in spatial analysis and features sections that cover different modeling-related
topics for continuous dependent variables, including: mapping data on spatial units, exploratory spatial data analysis,
working with regression models that have spatially dependent regressors, and estimating regression models with spatially
correlated error structures. New to the Second Edition is a new chapter on mapping as data exploration and its role in the
research process, and updates to all chapters based on substantive and methodological work, as well as software updates.
CONTENTS 1: Why Space in the Social Sciences?/ 2: Maps as Displays of Information/ 3: Interdependency Among Observations/ 4: Spatially Lagged
Dependent Variables/ 5: Spatial Error Model/ 6: Extensions
PAPERBACK: $22.00 • ISBN: 978-1-5443-2883-6 • ©2019 • 128 PAGES •
T
he Little Green Books, as SAGE's Quantitative Applications in the Social Sciences (QASS) series is called,
serves countless students, instructors, and researchers in learning cutting-edge quantitative techniques! These brief
volumes address specifi c quantitative topics including Regression Models, Data Analysis, Structural Equation Modeling,
Experimental Design, Factor Analysis, Measurement, ANOVA, Survey Data, and more. Please visit sagepub.com/QASS for
information on the complete series and current special offers.
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