11. Recent research has shown that creative people are menter admitted that the wrong bubble sheet had general knowledge test for which the participants they were asked to transfer their answers to a bubble terparts (Gino and Ariely, 2012). Participants in the still faintly visible. Thus, the participants had an circled their answers on the test sheet. Afterward, sheets for computer scoring. However, the experi- for a series of tasks. One task was a multiple-choice naires and then returned to the lab several days later study first completed creativity assessment question- e likely to cheat than their less creative coun- more nanoeries of tasks. One task was a multiple-choice koen copied so that the correct answers were unity to cheat and inflate their test

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11. Recent research has shown that creative people are
menter admitted that the wrong bubble sheet had
they were asked to transfer their answers to a bubble
terparts (Gino and Ariely, 2012). Participants in the
general knowledge test for which the participants
naires and then returned to the lab several days later
circled their answers on the test sheet. Afterward,
sheets for computer scoring. However, the experi-
e likely to cheat than their less creative coun-
more
terpa first completed creativity assessment question-
naines eries of tasks. One task was a multiple-choice
so that the correct answers were
been copied
still faintly visible. Thus, the participants had an
Opportunity to cheat and inflate their test scores
Higher scores were valuable because participants
were paid based on the number of correct answers.
1
However, the researchers had secretly coded the
original tests and the bubble sheets so that they could
measure the degree of cheating for each participant.
Assuming that the participants were divided into
two groups based on their creativity scores, the
following data are similar to the cheating scores
obtained in the study.
High Creativity
Participants
Low Creativity
Participants
n = 27
%3D
n = 27
%3D
M = 7.41
M = 4.78
%3D
SS = 749.5
SS = 830
%3D
a. Use a one-tailed test with a = .05 to determine
whether these data are sufficient to conclude that
%3D
high creativity people are more likely to cheat than
people with lower levels of creativity.
b. Compute Cohen's d to measure the size of the
effect.
C. Write a sentence demonstrating how the results
from the hypothesis test and the measure of effect
Size would appear in a research report.
12. Ro
Transcribed Image Text:11. Recent research has shown that creative people are menter admitted that the wrong bubble sheet had they were asked to transfer their answers to a bubble terparts (Gino and Ariely, 2012). Participants in the general knowledge test for which the participants naires and then returned to the lab several days later circled their answers on the test sheet. Afterward, sheets for computer scoring. However, the experi- e likely to cheat than their less creative coun- more terpa first completed creativity assessment question- naines eries of tasks. One task was a multiple-choice so that the correct answers were been copied still faintly visible. Thus, the participants had an Opportunity to cheat and inflate their test scores Higher scores were valuable because participants were paid based on the number of correct answers. 1 However, the researchers had secretly coded the original tests and the bubble sheets so that they could measure the degree of cheating for each participant. Assuming that the participants were divided into two groups based on their creativity scores, the following data are similar to the cheating scores obtained in the study. High Creativity Participants Low Creativity Participants n = 27 %3D n = 27 %3D M = 7.41 M = 4.78 %3D SS = 749.5 SS = 830 %3D a. Use a one-tailed test with a = .05 to determine whether these data are sufficient to conclude that %3D high creativity people are more likely to cheat than people with lower levels of creativity. b. Compute Cohen's d to measure the size of the effect. C. Write a sentence demonstrating how the results from the hypothesis test and the measure of effect Size would appear in a research report. 12. Ro
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