By Topic

Experiments, quasi-experiments, and case studies: A review of empirical methods for evaluating decision support systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
L. Adelman ; Dept. of Inf. Syst. & Syst. Eng., George Mason Univ., Fairfax, VA, USA

Developers of decision support systems (DSS) often fail to present empirical data supporting the claimed merits of their systems. Discussions with developers indicate that they often do not consider or know how to perform the required empirical evaluations. That problem is addressed by reviewing the issues inherent in using experiments, quasi-experiments, and case studies to evaluate DSSs. The discussion revolves around the issues of reliability and four types of validity: internal, construct, statistical conclusion, and external. The discussion is focused upon but not restricted to expert systems

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:21 ,  Issue: 2 )