# Dependent t test

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1. Dependent samples t
-the dependent variable is measured two or more times for each individual in a single sample
2. What are dependent samples?
-Scores in one group are related to scores in another group
3. How do we get dependent samples
1.
2.
-When you measure the same people more than once (repeated measures)

-Matched samples (someone in sample A is paired with someone in sample B) and they are identical on some measurements
4. Repeated Measures design

1.
2.
• -Each subject is measured more than once in your study
• -You have one sample of people, but they provide two or more samples of data
5. Matched Samples Design
• -Two or more samples of people that provide one sample of data each
• -People matched to each other in pairs
• -Treated as though they are one sample
• -Often used in quasi-experiments when you can't randomly assign people to conditions
6. All statistics are done with
Difference scores (d=x2-x1)
7. What test do we use?
1 sample t
8. Mean difference formula
see chart
9. H0
uD=0
10. Standard error dependent t test
See chart
11. Sum of squares D
Variance D
see chart
12. Cohen's D for mean difference
-Mean difference in standard deviation units
13. Benefits of Repeated measures

1.
2.
3.
• -Reduces error due to individual differences
• -Reduces number of participants
• -Can observe changes over time (longitudinal studies)
14. Carryover effects
-The first treatment or measurement influences scores on the second measurement
15. Progressive error
-Passage of time alone can produce change
16. Solutions to carryover and progressive error

1.
2.
• -Counterbalance order of treatment
• -Choose a different research design
17. Assumptions of related-samples t-test

1.
2.
• Observations within each treatment are independent
• Population distribution of difference scores must be approximately normal
 Author: Trekofstarsx ID: 298422 Card Set: Dependent t test Updated: 2015-03-15 04:26:06 Tags: test Folders: t test Description: Dependent sample t test Show Answers: