Summary
Contents
Subject index
This book provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right; no prior knowledge of Correspondence Analysis (CA) is needed. The presentation is practically oriented and with the needs of research in mind: gathering relevant data, formulating questions of interest, and linking statistical interpretation to geometric representations. The procedures are presented in detail using a real example, stressing the unique capacity of MCA to handle full scale research studies.
Full-Scale Research Studies
Full-Scale Research Studies
The Taste Example with only four questions is by no means a research on lifestyle in the United Kingdom. The full-scale study (Le Roux et al., 2008) involved 41 questions, 17 regarding participation and 24 on taste, generating 166 active categories, allowing us to delineate and differentiate individuals. Indeed, the ...
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