A human factors psychologist is interested in how alcohol
impacts driving performance. A sample of participants was randomly
assigned into one of three different conditions of alcohol blood
levels (abl). The participants then operate a driving simulator and
each participant was measured on how much time (in seconds) they
spent on a target when steering. The more time they spend on a
target, the better their driving skills. What can the psychologist
conclude with α = 0.05?
abl 1 | abl 2 | abl 3 |
221 192 171 247 234 281 238 171 |
180 146 178 134 200 170 208 191 |
184 132 172 137 154 154 176 178 |
a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way
ANOVA
b) Compute the appropriate test statistic(s) to
make a decision about H0.
critical value = ; test statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
η2 = ; ---Select--- na trivial
effect small effect medium effect large effect
a)
within-subjects ANOVA
b)
Applying one way within-subjects ANOVA
Source of Variation | SS | df | MS | F | P-value | F crit |
subjects | 6314.2917 | 7 | 902.0417 | 1.1017 | 0.4135 | 2.7642 |
Abl | 14772.0000 | 2 | 7386.0000 | 9.0204 | 0.0030 | 3.7389 |
Error | 11463.3333 | 14 | 818.8095 | |||
Total | 32549.6250 | 23 |
critical value = 3.7389 ; test statistic =9.0204
Reject H0
c)
η2 =SS(abl)/SS(total)=14772/32549.6250 =0.4538
large effect since η2 >0.25
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