Statistics in the Social Sciences (PDF)

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.