NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ685063
Record Type: Journal
Publication Date: 2004-Jun
Pages: 11
Abstractor: Author
ISBN: N/A
ISSN: ISSN-1082-989X
EISSN: N/A
Available Date: N/A
Determining the Number of Clusters by Sampling With Replacement
Tonidandel, Scott; Overall, John E.
Psychological Methods, v9 n2 p238-249 Jun 2004
A split-sample replication criterion originally proposed by J. E. Overall and K. N. Magee (1992) as a stopping rule for hierarchical cluster analysis is applied to multiple data sets generated by sampling with replacement from an original simulated primary data set. An investigation of the validity of this bootstrap procedure was undertaken using different combinations of the true number of latent populations, degrees of overlap, and sample sizes. The bootstrap procedure enhanced the accuracy of identifying the true number of latent populations under virtually all conditions. Increasing the size of the resampled data sets relative to the size of the primary data set further increased accuracy. A computer program to implement the bootstrap stopping rule is made available via a referenced Web site.
American Psychological Association, 750 First Street, NE, Washington, DC 20002-4242. Tel: 800-374-2721 (Toll Free); Tel: 202-336-5510; TDD/TTY: 202-336-6123; Fax: 202-336-5502; e-mail: journals@apa.org
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A