Individuals with a condition known as “prosopagnosia” cannot recognize faces. Their perceptual abilities are intact, and they can accurately describe features such as eye color, size of the nose, and shape of the mouth. They can even tell you whether someone is attractive. However, they cannot recognize anyone’s face, not even the faces of their friends and family. Dr. Joseph DeGutis has been conducting research and trying to develop a training regimen that would allow patients with prosopagnosia to improve their recognition abilities. Patients complete a battery of perceptual tests to determine their baseline performance (a pre-test) and then are trained for six days on a facial categorization task. They are tested again (a post-test) to determine their levels of improvement. Would it be valid for Dr. DeGutis to use the independent-measures t test to test whether the training leads to an improvement? No, because Dr. DeGutis is using a repeated-measures (within-subjects) research design. In this type of design, the study populations are not independent. Yes, if his sample size is ≥30 or the raw scores are normally distributed. No, because he does not have homogeneity of variance. Yes.
Individuals with a condition known as “prosopagnosia” cannot recognize faces. Their perceptual abilities are intact, and they can accurately describe features such as eye color, size of the nose, and shape of the mouth. They can even tell you whether someone is attractive. However, they cannot recognize anyone’s face, not even the faces of their friends and family. Dr. Joseph DeGutis has been conducting research and trying to develop a training regimen that would allow patients with prosopagnosia to improve their recognition abilities. Patients complete a battery of perceptual tests to determine their baseline performance (a pre-test) and then are trained for six days on a facial categorization task. They are tested again (a post-test) to determine their levels of improvement. Would it be valid for Dr. DeGutis to use the independent-measures t test to test whether the training leads to an improvement? No, because Dr. DeGutis is using a repeated-measures (within-subjects) research design. In this type of design, the study populations are not independent. Yes, if his sample size is ≥30 or the raw scores are normally distributed. No, because he does not have homogeneity of variance. Yes.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Individuals with a condition known as “prosopagnosia” cannot recognize faces. Their perceptual abilities are intact, and they can accurately describe features such as eye color, size of the nose, and shape of the mouth. They can even tell you whether someone is attractive. However, they cannot recognize anyone’s face, not even the faces of their friends and family. Dr. Joseph DeGutis has been conducting research and trying to develop a training regimen that would allow patients with prosopagnosia to improve their recognition abilities. Patients complete a battery of perceptual tests to determine their baseline performance (a pre-test) and then are trained for six days on a facial categorization task. They are tested again (a post-test) to determine their levels of improvement.
Would it be valid for Dr. DeGutis to use the independent-measures t test to test whether the training leads to an improvement?
No, because Dr. DeGutis is using a repeated-measures (within-subjects) research design. In this type of design, the study populations are not independent.
Yes, if his sample size is ≥30 or the raw scores are normally distributed.
No, because he does not have homogeneity of variance.
Yes.
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