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Dr. LaGuardia is a cognitive neuroscientist who is interested in the effect of brain concussions on the ability to recognize faces. He conducts a quasi-experimental study in which he examines football players before and after the regular season, using the Benton Facial Recognition Test

(a published, widely used measure of one's ability to recognize faces) to compare those who received concussions to those who did not. He finds that players who had concussions during the regular season performed worse on the Benton Facial Recognition Test than did players who did not experience concussions.

If Dr. LaGuardia had instead been intereted in conducting a small-N design, which of the following might he have done?
A. He would nothhave compared participants' performance on the Facial Recognition Test ot other groups.
B. He would have collected fewer types of data.
C. He would have likely collected other additional dependent measures.
D. He would have likely selected a topic ehere he expected a small effect size.

1 Answer

3 votes

Answer:

B. He would have collected fewer types of data.

Step-by-step explanation:

If Dr. LaGuardia had instead been intereted in conducting a small-N design, he would have collected fewer types of data.

The difference between a small N and a large N design is that in small-N, each person is treated as a separate experiment, thus a smaller sample size can be used. while data in large-n is represented as group averages and small-n is reported as individual-level data

User Christopher Smit
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