If the operational definition were instead something like this: “If someone entering the hospital does not (A) wear scrubs/lab coat, (B), have a hospital badge visible, they count as a visitor. For all visitors, if they stop their forward motion and either stand still for 1+ seconds or change direction at least once, they should be counted as an instance of ‘confusion.’” a. What kind of validity would this definition maximize, and why? (Choose one and explain)   construct validity external validity internal validity

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Chapter1: The Science Of Psychology
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Researchers at a local hospital want to know whether they really need to have staffed information booths at all of the hospital entrances or just by the main doors at the front of the building. The hospital administration wants to make sure that people get the help they need when they come in, but having employees stationed at multiple centers is very expensive. To address this question, the researchers decide to do two separate observational studies. First, they poll everyone entering each doorway to see whether they are first-time or repeat visitors. They find that 90% of the visitors using doors other than the main entrance have been to the hospital before. Then they conduct the second study: They station research assistants in the side/back entrance halls to observe the behavior of visitors during periods of time when (1) the information booths are fully staffed, (2) when the booths are unstaffed and a sign is posted that points towards the main entrance, and (3) when the booths are unstaffed with no sign.

 

  1. If the operational definition were instead something like this: “If someone entering the hospital does not (A) wear scrubs/lab coat, (B), have a hospital badge visible, they count as a visitor. For all visitors, if they stop their forward motion and either stand still for 1+ seconds or change direction at least once, they should be counted as an instance of ‘confusion.’”

a. What kind of validity would this definition maximize, and why? (Choose one and explain)

 

  1. construct validity
  2. external validity
  3. internal validity
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
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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