Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. The participants were asked to rate the quality of the research in each abstract on a scale between 1 and 100, and the differences between their scores of their two abstracts, score of the abstract with math minus score of abstract without math, were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M); humanities, social science (H
Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. The participants were asked to rate the quality of the research in each abstract on a scale between 1 and 100, and the differences between their scores of their two abstracts, score of the abstract with math minus score of abstract without math, were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M); humanities, social science (H
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Eriksson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated mathematical model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. The participants were asked to rate the quality of the research in each abstract on a scale between 1 and 100, and the differences between their scores of their two abstracts, score of the abstract with math minus score of abstract without math, were recorded. Participants were also asked for the subject matter of their postgraduate degree: math, science, technology (MST); medicine (M); humanities, social science (HS); or Other (O).
Transcribed Image Text:50-
-50
MST
M
HS
Degree subject
Degree subject
Mean score difference SD score difference n
MST
-1.28
19.24
69
M
3.06
15.99
16
HS
6.60
21.15
84
13.90
23.31
31
(b) Test whether the subject background of the participants affected how much the added
math changed their views of the abstracts on average.
(c) Is the relationship between degree subject and score difference strong? Answer using
R.
Score difference
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