Reducing Irrelevant Variance through the Use of Blocked Experimental Designs.
Abstract
The objective of the paper is to show how standard experimental designs and statistical techniques can be used by human factors engineers to significantly improve the quality of research data collected in applied environments. Although techniques of incomplete blocking have been employed in agricultural and chemical research for many decades to increase experimental efficiency and to obtain more precise information in poorly controlled environments, they have seldom been used in human factors research. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1970
- Accession Number
- AD0776041
Entities
People
- Charles W. Simon
Organizations
- University of Illinois Urbana–Champaign