Abstract
One of the best ways, if not the best way, to analyze data displayed in a two-way contingency table is to use a method originally due to Williams (1952) and later embellished upon by Guttman (1971) and others. This method applies the principles of canonical correlation analysis to contingency table data and obviates the need for the a priori specification of scale values for the two variables whose relationship is explored. In this article the method is described and compared with other approaches, and several examples of its application are provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
