Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
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.
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. References. Index.
- No. of pages:
- © Academic Press 1994
- 4th August 1994
- Academic Press
- Hardcover ISBN:
- eBook ISBN:
Michael J. Greenacre is Professor of Statistics at the University of South Africa. He has been involved with the theoretical development and practical applications of correspondence analysis in the USA, UK, South Africa and Germany. Previous publications include Theory and Applications of Correspondence Analysis (Academic Press, 1984) and Correspondence Analysis in Practice (Academic Press, 1993).
University of South Africa, Pretoria
Jorg Blasius is Researcher at the Zentralarchiv fur empirische Sozialforschung at the University of Cologne. His primary research interests are multivariate exploratory analysis, urban research, life-styles and methods of empirical social research.
Zentralarchiv fur empirische Sozialforschung
@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
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.