2007
DOI: 10.21236/ada470297
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Human Factors Experimental Design and Analysis Reference

Abstract: Approved for public release; distribution is unlimited.ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the bur… Show more

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Cited by 4 publications
(4 citation statements)
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References 65 publications
(65 reference statements)
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“…The data could not be considered normally distributed due to the relatively small sample size. Two within-subject tests are commonly used for testing differences between conditions in human factors research if the assumption of normally distributed data is violated; Friedman's ANOVA is used for more than two categories and Wilcoxon signed-rank test is used for two categories (Willages 2007;Field 2009). Friedman's ANOVA only shows whether there is difference between the tested conditions, but does not show where this difference occurs.…”
Section: Discussionmentioning
confidence: 99%
“…The data could not be considered normally distributed due to the relatively small sample size. Two within-subject tests are commonly used for testing differences between conditions in human factors research if the assumption of normally distributed data is violated; Friedman's ANOVA is used for more than two categories and Wilcoxon signed-rank test is used for two categories (Willages 2007;Field 2009). Friedman's ANOVA only shows whether there is difference between the tested conditions, but does not show where this difference occurs.…”
Section: Discussionmentioning
confidence: 99%
“…The most commonly used statistical tool in human factors research is the Analysis of Variance (ANOVA) test [Wil07], which acts as a generalization of the standard t-test.…”
Section: Discussionmentioning
confidence: 99%
“…To evaluate the performance of the anti-sway system, two variables were selected to test: the first, with or without the anti-sway trajectory modifier; the second, with the The two types of experimental designs generally used in human factors testing are between-subjects and within-subjects designs [Wil07,Sel12]. In a between-subjects design, participants are each assigned to either a control group or to one of the test conditions; however, a large number of test participants are needed, and bias effects, such as skill using the USB gamepad, may not be eliminated when comparing the results of the different groups.…”
Section: Experimental Designmentioning
confidence: 99%
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