Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for FREE ACCESS to this landmark database

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 Cotter, K. L.
Right arrow Articles by Raju, N. S.
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?

An Evaluation of Formula-Based Population Squared Cross-Validity Estimates and Factor Score Estimates in Prediction

Kay Lillig Cotter

First Bank System

Nambury S. Raju

Illinois Institute of Technology

Eight formula-based estimates of population squared cross-validity and nine estimates of factor scores were used in a prediction study involving 31 attitude type predictors and a criterion. These estimates were compared with the conventional cross-validation procedure and the use of data-level variables (raw scores or standardized raw scores) in two separate sample sizes of 150 and 250 cases. The major findings of this empirical study are: (1) Formula-based estimates of population squared cross-validity are as good as those obtained from the conventional cross-validation procedure, (2) factor score estimates are equally good in predicting population squared cross-validity, and (3) two formula-based estimates (Burket's and Rozeboom's) of population squared cross-validity in combination with one of the factor score methods appear to offer the most for practitioners concerned with prediction.

Educational and Psychological Measurement, Vol. 42, No. 2, 493-519 (1982)
DOI: 10.1177/001316448204200213
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. W.-L. Cheung
Recovering Preipsative Information From Additive Ipsatized Data: A Factor Score Approach
Educational and Psychological Measurement, August 1, 2006; 66(4): 565 - 588.
[Abstract] [PDF]

Home page
 Organizational Research MethodsHome page
C. H. St. John and P. L. Roth
The Impact of Cross-Validation Adjustments on Estimates of Effect Size in Business Policy and Strategy Research
Organizational Research Methods, April 1, 1999; 2(2): 157 - 174.
[Abstract] [PDF]