Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Using statistical power analysis to tune-up a research experiment: a case study

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
$31 $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

3 Author(s)
Evans, M.B. ; Washington Univ., Seattle, WA, USA ; Wei, C. ; Spyridakis, J.H.

This work presents a case study of the use of statistical power analysis in a research study. When the University of Washington researchers ran a pilot study to investigate the effect of link wording on Web site browsing behavior and comprehension, they obtained results that were not significant on most dependent measures. To analyze the results and discover whether link wording really had no effect, they first turned to statistical power analysis to see whether they might be committing a type II error (accepting a false hypothesis). They did in fact find that the power of the study was too low and the number of participants too few. This work explains how they used the results of the power analysis to redesign the study and increase its power and the likelihood of obtaining significant results if true between-group differences did in fact exist.

Published in:

Professional Communication Conference, 2004. IPCC 2004. Proceedings. International

Date of Conference:

29 Sept.-1 Oct. 2004