A comparison of four clustering methods using MMPI Monte Carlo data
Authors
Published Date
Publisher
Type
Abstract
Monte carlo procedures were used to generate
data sets that resembled MMPI psychotic (8-6),
neurotic (1-3-2), and personality disorder (4-9) patterns.
Lorr’s clumping method, inverse factor analysis,
average linkage, and Ward’s method were the
clustering methods compared. The solutions were
found to vary in terms of misclassifications and
coverage. The clustering solutions also varied as a
function of different optional parameters associated
with each method.
Keywords
Description
Related to
item.page.replaces
License
Series/Report Number
Funding Information
item.page.isbn
DOI identifier
Previously Published Citation
Blashfield, Roger K & Morey, Leslie C. (1980). A comparison of four clustering methods using MMPI Monte Carlo data. Applied Psychological Measurement, 4, 57-64. doi:10.1177/014662168000400107
Other identifiers
doi:10.1177/014662168000400107
Suggested Citation
Blashfield, Roger K.; Morey, Leslie C.. (1980). A comparison of four clustering methods using MMPI Monte Carlo data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99953.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.
