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The SAGE Handbook of Quantitative Methods in PsychologyPub. date: 2009 | Online Pub. Date: October 05, 2009 | DOI: 10.4135/9780857020994 | Print ISBN: 9781412930918 | Online ISBN: 9780857020994| Publisher:SAGE Publications Ltd
About this handbookChapter 11: Correspondence Analysis, Multiple Correspondence Analysis, and Recent Developments
Heungsun Hwang & Marc A. Tomiuk & Yoshio Takane
Correspondence analysis, multiple correspondence analysis, and recent developments The use of multiple-choice response formats is common in psychology and other fields of inquiry. This format offers severaladvantages. First, it provides respondents with a faster and less tedious response format in comparison to rating or rank-order question formats. Second, its use leads to higher survey completion rates while enabling the inclusion of a greater number of questions and/or response categories in a survey (Arimond and Elfessi, 2001; Dolničar and Leisch, 2001). Third, the use of multiple-choice question formats represents a simpler means of data collection/management thus reducing data-entry costs (Javalgi et al., 1992). Finally, multiple-choice response formats are highly flexible in the sense that other types of categorical data such as binary, frequency table, and sorting data can be regarded as special cases of this general format (e.g., Nishisato, 1994; Takane, 1980). Correspondence analysis (CA) and multiple correspondence analysis (MCA) represent ...
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