1) The eta squared value for the main effect of Varenicline given to participants (a drug to help stop smoking) was η2=.47 for the number of people who had side effects from the drug. Write this result out in sentence format.
2) Why are the results considered partial when referring to the eta square (η2) for the factorial ANOVA?
3) A behavioral economics psychologist wanted to see what
factors were important when a person selects speakers. The tested
price of speakers (of low and high) and sound amplitude (soft and
loud), as some research shows the louder speakers sound better to
people. He asked participants to rate the sound quality of the
speakers they listened to from 0-10, with a score of 10 being the
highest quality. Write the hypothesis (in words), perform the ANOVA
and include the partial eta squared calculations in your APA write
up of the results of the following data.
Test at an alpha level of α=.05.
Factor B | ||||
low | high | |||
soft | 0 | 4 | ||
1 | 6 | |||
4 | 5 | |||
3 | 4 | |||
2 | 3 | |||
Mean | 2 | 4.4 | N=20 | |
SS | 10 | 5.2 | G=104 | |
Factor A | Total | 10 | 22 | ∑x2=682 |
loud | 8 | 8 | ||
6 | 5 | |||
9 | 5 | |||
5 | 9 | |||
10 | 7 | |||
Mean | 7.6 | 6.8 | ||
SS | 17.2 | 12.8 | ||
Total | 38 | 34 |
GUARANTEED UPVOTE! THANK YOU!
1. There is a medium effect of Varenicline given to participants.
2. Partial η2 is calculated by SSbetween/(SSbetween-SSerror). Essentially the partial η2 partials out the effects of other IV and interactions but, it's interpretation is less clear than η2.
3. There is a main effect of Factor A.
There is no main effect of Factor B.
There is an interaction effect.
Source | SS | df | MS | F | p-value | partial n² |
Factor 1 | 80.00 | 1 | 80.000 | 28.32 | .0001 | 2.299 |
Factor 2 | 3.20 | 1 | 3.200 | 1.13 | .3030 | 0.076 |
Interaction | 12.80 | 1 | 12.800 | 4.53 | .0492 | 0.395 |
Error | 45.20 | 16 | 2.825 | |||
Total | 141.20 | 19 |
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