Driving simulator experiments: Power for repeated measures vs. completely randomized design

Birsen Donmez, Linda Ng Boyle, John D. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Driving simulator studies are usually designed to collect repeated measures on each participant. This design has different implications for the power of within and between-subject effects that needs to be recognized by researchers. The power for between-subject variables decreases when additional measures are collected on the within-subject variables. However, the power for the main and interaction effects of the within-subjects variables increases as more observations are collected on one participant. If the main interest of the experiment is a between-subject effect, such as age, then a completely randomized design can provide the same power with fewer participants. Through a case study, this paper demonstrates how the power changes between a repeated measures design and a completely randomized design.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, HFES 2006
PublisherHuman Factors and Ergonomics Society Inc.
Pages2336-2339
Number of pages4
ISBN (Print)9780945289296
DOIs
StatePublished - 2006
Event50th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2006 - San Francisco, CA, United States
Duration: Oct 16 2006Oct 20 2006

Publication series

NameProceedings of the Human Factors and Ergonomics Society
ISSN (Print)1071-1813

Conference

Conference50th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period10/16/0610/20/06

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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