2. A researcher wants to determine which of three advertisements is most likely to encourage teens not to smoke. To assess the impact of each advertisement, she asks a sample of teenagers to view each ad and to rate the ad's effectiveness on a scale of 1 (not at all effective) to 7 (very effective). One ad used words only (no-cues condition), a second ad used a generic abstract picture (generic-cues condition), and a third showed a picture of a teen smoking and coughing (smoking-related cues condition). Fully test the question (5 steps) and determine the effect size. Participant No Cues Generic Cues Smoking- Related Cue P
2. A researcher wants to determine which of three advertisements is most likely to encourage teens not to smoke. To assess the impact of each advertisement, she asks a sample of teenagers to view each ad and to rate the ad's effectiveness on a scale of 1 (not at all effective) to 7 (very effective). One ad used words only (no-cues condition), a second ad used a generic abstract picture (generic-cues condition), and a third showed a picture of a teen smoking and coughing (smoking-related cues condition). Fully test the question (5 steps) and determine the effect size. Participant No Cues Generic Cues Smoking- Related Cue P
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:2. A researcher wants to determine which of three advertisements is most likely to encourage teens
not to smoke. To assess the impact of each advertisement, she asks a sample of teenagers to view
each ad and to rate the ad's effectiveness on a scale of 1 (not at all effective) to 7 (very effective). One
ad used words only (no-cues condition), a second ad used a generic abstract picture (generic-cues
condition), and a third showed a picture of a teen smoking and coughing (smoking-related cues
condition). Fully test the question (5 steps) and determine the effect size.
Participant
ABCDEFG
No Cues
2
3
1
4
4
5
2
T = 21
SS = 12
Generic Cues
5
5
4
5
3
4
2
T1 = 28
SS=8
Smoking-
Related Cue
5
6
5
7
6
7
6
T2 = 42
SS = 4
P
G = 91
ΣΧ2
= 451
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