A one-of-a-kind compilation of modern statistical methods
designed to support and advance research across the social
sciences
Statistics in the Social Sciences: Current Methodological
Developments presents new and exciting statistical
methodologies to help advance research and data analysis across the
many disciplines in the social sciences. Quantitative methods in
various subfields, from psychology to economics, are under demand
for constant development and refinement. This volume features
invited overview papers, as well as original research presented at
the Sixth Annual Winemiller Conference: Methodological Developments
of Statistics in the Social Sciences, an international meeting that
focused on fostering collaboration among mathematical statisticians
and social science researchers.
The book provides an accessible and insightful look at modern
approaches to identifying and describing current, effective
methodologies that ultimately add value to various fields of social
science research. With contributions from leading international
experts on the topic, the book features in-depth coverage of modern
quantitative social sciences topics, including:
* Correlation Structures
* Structural Equation Models and Recent Extensions
* Order-Constrained Proximity Matrix Representations
* Multi-objective and Multi-dimensional Scaling
* Differences in Bayesian and Non-Bayesian Inference
* Bootstrap Test of Shape Invariance across Distributions
* Statistical Software for the Social Sciences
Statistics in the Social Sciences: Current Methodological
Developments is an excellent supplement for graduate courses on
social science statistics in both statistics departments and
quantitative social sciences programs. It is also a valuable
reference for researchers and practitioners in the fields of
psychology, sociology, economics, and market research.
Sobre el autor
STANISLAV KOLENIKOV, Ph D, is Adjunct Assistant Professor of
Statistics at the University of Missouri. He served as Program
Chair of the Sixth Winemiller Conference. Dr. Kolenikov is an
applied statistician with interests in structural equation
modeling, survey statistics, econometrics, and statistical
programming.
DOUGLAS STEINLEY, Ph D, is Associate Professor of
Psychology at the University of Missouri. Dr. Steinley currently
conducts research in the areas of multivariate statistical
methodology, cluster analysis, and social network analysis.
LORI THOMBS, Ph D, is Associate Professor of
Statistics and Director of the Social Science Statistics Center at
the University of Missouri. Dr. Thombs has more than twenty years
of academic experience, and she currently focuses her research on
the areas of time series, resampling methods for correlated
variables, and statistics education.
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