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EN
RW
G
Multipoint Scales: Mean and Median Differences and Observed Significance
Levels
Articles
/
Lewis, James R.
International Journal of Human-Computer Interaction
1993
v.5
n.4
p.383-392
© Copyright 1993 Ablex Publishing
Summary: Researchers in human-computer interaction (HCI) often use discrete
multipoint scales (such as 5- or 7-point scales) to measure user satisfaction
and preference. Many knowledgeable authors state that the median is the
appropriate measure of central tendency for such ordinal scales, although
others challenge this assertion. This article introduces a new point of view,
based on a human factors consideration. When decision makers read a usability
report or attend a briefing, they may make decisions based on the magnitude of
the difference between the measures of central tendency for key dependent
variables. A major criterion that should affect the choice of presenting means
or medians is the strength of the relationship between this difference and the
observed significance levels of appropriate statistical tests. The results
from two series of "real-world" usability studies showed that the mean
difference correlated more than the median difference with the observed
significance levels (both parametric and nonparametric) for discrete multipoint
scale data. Therefore, for these scales in this measurement context, the mean
can be a better measure of central tendency than the median. The results also
provided evidence that mean differences for 7-point scales correlate more
strongly with observed significance levels than those for 5-point scales.