Deck 8: How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

Question 1

You calculate a repeated t test, and the experimental variance is calculated as 9, and the random variance is calculated as 3. What is the calculated t statistic, and is the result likely to be significant?

A) 6, not significant
B) 6, significant
C) 3, not significant
D) 3, significant

Answer 1

D
Explanation: t statistic = experimental variance/random variance, 9/3 = 3, there is more experimental variance than random variance, so the result is likely to be significant.

Question 2

You calculate a repeated t test, and the experimental variance is calculated as 4, and the random variance is calculated as 12. What is the calculated t statistic, and is the result likely to be significant?

A) 0.333, not significant
B) 0.333, significant
C) 3, not significant
D) 3, significant

Answer 2

A
Explanation: t statistic = experimental variance/random variance, 4/12 = 0.333, there is less experimental variance than random variance, so the result is likely to not be significant.

Question 3

You calculate a repeated t statistic and get a result of 1.0, which means...

A) There is more experimental variance than random variance
B) There is the same amount of experimental and random variance
C) There is more random variance than experimental variance
D) There is very little variability in the dataset

Answer 3

B
Explanation: t statistic = experimental variance/random variance

Question 4

How is the top part of the repeated t equation calculated?

A) Summing the raw scores in condition A
B) Summing the squared difference scores
C) Summing the raw scores
D) Summing the difference scores

Question 5

You conduct an experiment with a repeated design that has 25 participants. How many degrees of freedom would you have?

A) 24
B) 25
C) 23
D) 26

Question 6

You conduct and experiment with a repeated design that has 49 participants. How many degrees of freedom would you have?

A) 49
B) 50
C) 47
D) 48

Question 7

You run an analysis with 8 degrees of freedom, a one-tailed hypothesis and an alpha level of .050. What would be the critical value for this analysis?

A) 2.306
B) 1.895
C) 1.860
D) 3.355

Question 8

You calculate a t value as 3.75. You have 9 degrees of freedom and a two-tailed hypothesis. What is the smallest alpha value at which the analysis is significant?

A) .050
B) .010
C) .020
D) .001

Question 9

What is wrong with the reporting of this t statistic: t 12 = 3.4, p < .050

A) The t value is in the wrong position
B) The p value is in the wrong position
C) The df should have brackets around it
D) There should not be an = in the reporting

Question 10

You calculate Cohen's d effect size and get a value of 0.51. How would you classify this effect size?

A) Medium effect
B) Not significant
C) Small effect
D) Large effect

Question 11

What is the mean for the "never before seen face" condition?

A) 6.25
B) 7.92
C) 75
D) 95

Question 12

What is the sum of the difference scores (Σd)?

A) 95
B) 75
C) 40
D) 20

Question 13

When you have entered all of the values into the equation, what is the multiplication on the lower part of the equation?

A) 12 * 400
B) 12 * 1
C) 12 * 40
D) 480 * 400

Question 14

What is the calculated t statistic?

A) 20
B) 2.6968
C) 7.4162
D) 53.936

Question 15

What would the critical value be for a two tailed hypothesis with an alpha level of .010?

A) 2.718
B) 3.106
C) 4.025
D) 4.437