Abstract
A new ratio of category clustering ( CLT) is presented which, unlike earlier measures, uses an unconfounded estimate of the number of non-chance repetitions occurring in free recall sequences. The measure permits the assessment of clustering of individual categories independently of clustering of the other categories and yields additional statistics which cannot be accurately measured by existing methods. Computer-generated data scored according to CLT and five other clustering measures indicate that the various measures are not equivalent. In addition, the five other measures are shown to be confounded by extraneous characteristics of the set of items recalled. Consequently, the validity of conclusions based on clustering measures other than CLT is questioned.
Sign-in/Register to access full text options 
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.
