title: Annotation: correspondence analysis.
abstract: Correspondence analysis is a useful technique in the investigation of relationships between categorical variables. By displaying these relationships graphically, correspondence analysis solutions may allow investigators to obtain insights into the structure of their data more readily than would be obtained by simply studying tables of numerical values and examining associated chi-squared statistics. Some experience of using correspondence analysis solutions in practice is generally necessary to appreciate the method's usefulness fully. An interesting application of the method in a longitudinal study of cognitive development is given in Lautrey and Cibois (1992), and some suggestions as to how best to combine correspondence analysis with a more formal method such as log-linear modelling are given in Van der Heyden and de Leeuw (1985).
authors.affiliation: Institute of Psychiatry, London, U.K.
authors.forename: B S
authors.initials: BS
authors.lastname: Everitt
mesh_terms: D002648:Child; D002665:Child Psychiatry / Q000379:methods*; D003625:Data Collection; D006801:Humans; D008432:Mathematical Computing; D013223:Statistics as Topic