Evaluation Review

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click Here for More Information

Click here for more information

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 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
Google Scholar
Right arrow Articles by Johnson, R. B.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Johnson, R. B.
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 Review, Vol. 19, No. 3, 313-338 (1995)
DOI: 10.1177/0193841X9501900305

Estimating an Evaluation Utilization Model Using Conjoint Measurement and Analysis

R. Burke Johnson

University of South Alabama

The conjoint approach to measurement and analysis is demonstrated in this article through a test of an evaluation utilizationprocess-model that includes two endogenous variables (predicted participation and predicted instrumental utilization). Conjoint measurement involves having respondents rate attribute profiles that are analogous to concepts based on cells in a factorial analysis of variance. Such multidimensional ratings result in ecologically valid measurements because respondents examine and react to wholes, rather than to single unidimensional items as in traditional survey research. Statistically, conjoint analysis is a "decompositional" technique in which respondents' overall reactions to profiles (hypothetical situations) are decomposed to determine how much importance is given to attributes (variables used in the profiles) and to levels of the attributes.


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
EvaluationHome page
K. Forss and J. Carlsson
The Quest for Quality--Or Can Evaluation Findings Be Trusted?
Evaluation, October 1, 1997; 3(4): 481 - 501.
[Abstract] [PDF]


Home page
American Journal of EvaluationHome page
J. B. Cousins, J. J. Donohue, and G. A. Bloom
Collaborative Evaluation in North America: Evaluators' Self-reported Opinions, Practices and Consequences1
American Journal of Evaluation, October 1, 1996; 17(3): 207 - 226.
[Abstract] [PDF]