Evaluation & the Health Professions

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click Here for More Information

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
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
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
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 ISI Web of Science (4)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Cella, D.
Right arrow Articles by Skeel, R. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cella, D.
Right arrow Articles by Skeel, R. T.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Evaluation & the Health Professions, Vol. 28, No. 2, 122-141 (2005)
DOI: 10.1177/0163278705275334

Defining Higher Order Dimensions of Self-Reported Health

Further Evidence for a Two-Dimensional Structure

David Cella

Evanston Northwestern Healthcare and Northwestern University, d-cella{at}northwestern.edu

Chih-Hung Chang

Evanston Northwestern Healthcare and Northwestern University

Benjamin D. Wright

University of Chicago

Jamie H. Von Roenn

Northwestern University Medical School

Roland T. Skeel

Medical College of Ohio

We illustrate a method for understanding the extent to which a pool of fairly diverse health status questions can be examined for their dimensionality, by first fitting the data to a unidimensional measurement model, then examining item fit and residual factor analysis to determine the pattern of deviations from unidimensionality. We simultaneously administered five questionnaires to 1,714 people with cancer and HIV disease and combined all responses into one analysis. Item responses were cocalibrated onto one presumed underlying construct, often referred to as health-related quality of life (HRQOL). To identify significant, higher order substructures in the data, we then conducted a factor analysis of the data residuals, revealing two definable higher order dimensions: physical well-being and mental well-being. These results agree with other research and provide direction for further studies defining these dimensions within an item response theory (IRT) tradition.

Key Words: quality of life • measurement • factor analysis • health dimensions


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
 J. Epidemiol. Community HealthHome page
F Zhang, M Lewis, G Yang, J Iriondo-Perez, Y Zeng, and J Liu
Apolipoprotein E polymorphism, life stress and self-reported health among older adults.
J. Epidemiol. Community Health, April 1, 2008; 62(4): e3 - e3.
[Abstract] [Full Text] [PDF]