12. Can they infer causation? Specifically, can they infer that the change in booth staffing/signage in the last year caused a decrease in satisfaction in this category? (just "yes" or "no") 13. For each causal inference criteria, state whether it was met or not, and explain your answer. a. covariation b. temporal precedence c. plausible mechanism d. parsimony
12. Can they infer causation? Specifically, can they infer that the change in booth staffing/signage in the last year caused a decrease in satisfaction in this category? (just "yes" or "no") 13. For each causal inference criteria, state whether it was met or not, and explain your answer. a. covariation b. temporal precedence c. plausible mechanism d. parsimony
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
Related questions
Question

Transcribed Image Text:Hypothetical follow-up
Let's say researchers determined that there was slightly more confusion in visitors when a booth
with no staff and a sign was present, relative to a fully-staffed booth, but there was a LOT more
confusion when the booth was unstaffed and there was no sign. As a result, they recommended
that the unstaffed+sign scenario become the permanent situation at hospital entrances other than
the main entrance.
To determine whether this change was effective, they compared the results of the annual "visitor
satisfaction survey" from this year (after the change was made) with results from the 3 years
prior. They found that satisfaction around "signage and information" was significantly worse this
year than it was before. This was true regardless of visitors' ages or reasons for visiting the
hospital.
Follow-up analysis of Visitor Satisfaction Survey
12. Can they infer causation? Specifically, can they infer that the change in booth
staffing/signage in the last year caused a decrease in satisfaction in this category? (just
"yes" or "no")
13. For each causal inference criteria, state whether it was met or not, and explain your
answer.
a.
covariation
b. temporal precedence
c. plausible mechanism
d. parsimony
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