Lecture 13

Question 1

Lecture 13:

What is a repeated measures t-test?

Answer 1

Compares 2 means from the same group & often uses a pre-post design & must have data from all participants for both conditions (1 group, 2 tests)

Question 2

Lecture 13:

What are 3 reasons why we use a repeated measures t-test?

Answer 2

1.) if test subjects more than once, than score are no longer independent
2.) correlation exists between a subject’s score on pre test & posttest
3.) we have removed a source of varience from our data

Question 3

Lecture 13:

What are 5 things that need to be true for a repeated-measures t-test?

Answer 3

1.) interval or ratio data
2.) random selection (research design)
3.) normal distribution (Skew & Kutosis values +/-2)
4.) Homogeneity of variance (variance for 2 groups = similar but less than double)
5.) done prior to conduction the test

Question 4

Lecture 13:

What are 3 advantages to independent t-test designs?

Answer 4

1.) can be less time-consuming
2.) participants only complete 1 experimental conditions
3.) often a onetime collection

Question 5

Lecture 13:

What are 2 disadvantages to independent t-test designs?

Answer 5

1.) cannot account for individual differences b/with participants
2.) less power to detect a difference (if one truly truly exists)

Question 6

Lecture 13:

What are 2 advantages to repeated-measures t-test designs?

Answer 6

1.) Accounts for individual differences
2.) Greater power to detect a difference (if one truly exists)

Question 7

Lecture 13:

What are 3 disadvantages to independent t-test designs?

Answer 7

1.) can be time-consuming
2.) order effects may be a problem
3.) multiple collection sessions may be required