Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Educational and Psychological Measurement
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Fraboni, M.
Right arrow Articles by Cooper, D.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Multiple-Methods Approach to the Investigation of WAIS-R Constructs Employing Cluster Analysis

Maryann Fraboni

North Bay Psychiatric Hospital

Robert Saltstone

Nipissing University College

Douglas Cooper

North Bay Psychiatric Hospital, North Bay, Ontario, Canada

Seven hierarchical clustering methods were applied to the WAIS-R scaled scores of 121 medical rehabilitation clients. This process was employed to investigate the possibility of method-dependent results and to determine the stability of the clusters. The WAIS-R number-of-factors issue was addressed by examining the agglom-eration procedure when data were at a three-cluster stage, followed by a two-cluster stage. Results were found to vary with the method employed; a gross difference in cluster structures was obtained from three of the seven methods. The traditional two-factor interpretation best fits the data. However, as each of the one-, two-, and three-factor solutions could have been interpreted with differing degrees of confidence, especially in light of the small sample size, it would appear that the underlying constructs are not well-separated. Caution in the use of isolated measures and in the acceptance of one WAIS-R factor solution over another is advised.

Educational and Psychological Measurement, Vol. 49, No. 2, 325-332 (1989)
DOI: 10.1177/0013164489492004
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Educational and Psychological MeasurementHome page
M. Fraboni and R. Saltstone
The Wais-R Number-Of-Factors Quandary:A Cluster Analytic Approach Toconstruct Validation
Educational and Psychological Measurement, September 1, 1992; 52(3): 603 - 613.
[Abstract]