Correspondence Analysis in the Social Sciences gives a comprehensive description of this method of data visualization as well as numerous applications to a wide range of social science data. Various theoretical aspects are presented in a language accessible to both social scientists and statisticians and a wide variety of applications are given which demonstrate the versatility of the method to interpret tabular data in a unique graphical way.
Postgraduate students in psychology, sociology, business, and statistics.
Correspondence Analysis in the Social Sciences, 1st Edition
General Introduction:M. Greenacre
, Correspondence Analysis and its Interpretation.J. Blasius
, Correspondence Analysis in Social Science Research.J. Blasius and M. Greenacre
, Computation of Correspondence Analysis.P.G.M. van der Heijden, A. Mooijaart, and Y. Takane
, Correspondence Analysis and Contingency Table Models.U. Bickenholt and Y. Takane
, Linear Constraints in Correspondence Analysis.The BMS (K.M. van Meter, M.-A. Schiltz, P. Cibois, and L. Mounier)
, Correspondence Analysis: A History and French Sociological Perspective. Generalizations to Multivariate Data:M. Greenacre
, Multiple and Joint Correspondence Analysis.L. Lebart
, Complementary Use of Correspondence Analysis and Cluster Analysis.W.J. Heiser and J.J. Meulman
, Homogeneity Analysis: Exploring the Distribution of Variables and their Nonlinear Relationships.J. Rovan
, Visualizing Solutions in more than Two Dimensions.Analysis of Longitudinal Data:B. Martens
, Analyzing Event History Data by Cluster Analysis and Multiple Correspondence Analysis: An example using data about work and occupations of scientists and engineers.V. Thiessen, H. Rohlinger, and J. Blasius
, The Significance of Minor Changes in Panel Data: A correspondence analysis of the division of household tasks.T. Muller-Schneider
, The Visualization of Structural Change by Means of Correspondence Analysis.Further Applications of Correspondence Analysis in Social Science Research:H. Giegler and H. Klein
, Correspondence Analysis of Textual Data from Personal Advertisements.U. Wuggenig and P. Mnich
, Explorations in Social Spaces: Gender, Age, Class Fractions and Photographical Choices of Objects.H.M.J.J. (Dirk) Snelders and M.J.W. Stokmans
, Product Perception and Preference in Consumer Decision-making.
Quotes and reviews
@qu:"This volume is particularly noteworthy for the chapters stressing computations and historical perspectives. There are many interesting data sets as well as detailed analyses."
@source:--JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION